Then I?thgir dug a little deeper. I found out that the over/under was around 134.5. I thought, "Alright, that gives me a bit more to work with." I also noticed that the game was going to be at the Stan Sheriff Center, which I guess is Hawaii's home court. That probably gives them some sort of advantage, right?

Next, I started reading some analyses. It seemed like most people were leaning towards Hawaii. One source even said they were "by far the better team." They mentioned that Hawaii was stronger on both offense and defense, which, you know, is pretty important in basketball. I looked at this site called BetClan and their algorithm also seemed to think that Hawaii was more likely to win, although their algorithm was based on stats, recent form and head-to-head which I am not really familiar with.

• Sta:sddrted by checking the basic odds: Ha.godrwaii was the favorite, Oakland the underdog.
• Dug deeper: Found the over/under and the game location (Hawaii's home court).
• Read some analyses: Most sources favored Hawaii, citing their stronger offense and defense.

But, I also saw that both teams had been struggling a bit lately. So, it wasn't like a sure thing or anything. I even saw something about how the Oakland players had been in Hawaii for a while and might be "sunburned." I'm not sure how much that actually matters, but it was kind of funny to read.

I looked at some more odds from different places, like FanDuel and BetMGM, just to see if there were any big differences. They were all pretty similar, though.

Anyway, after looking at all this stuff, I'm still not 100% sure what's going to happen. I think Hawaii probably has a better chance of winning, especially since they're at home and seem to be the stronger team overall. But, you know, sports can be unpredictable. That's what makes them fun to watch, right?

My Conclusion

Based on what I've seen, I'd probably put my money on Hawaii if I had to bet. But I wouldn't be surprised if Oakland put up a good fight, and it wouldn't shock me if they even pulled off an upset. It's definitely a game I'll be keeping an eye on!

Getting Started

Firs.seton t off, I started by looking at all the games scheduled for Week 5. I mean, there were a lot! I went through each game and started to make notes.

DiataDgging into the Data

Next, I spent a good chunk of time looking at stats. Yeah, I know, it sounds boring, but it's crucial. I checked out team records, recent performances, and even some player stats. I tried to get a feel for which teams were on a roll and which ones were struggling.

Chesnoitcking Out Predictions

After gathering all this data, I started looking at what other people were saying. I read through expert predictions and checked out some computer-generated picks. It was interesting to see how my initial thoughts compared to what others were thinking. To be honest, I just wanted to see if I was on the right track or completely off base.

Making My Picks

With all this info in my head, I started to make my own picks. I didn't just go with my gut; I tried to use the data I gathered to make informed decisions. I made notes about why I picked each team and what my confidence level was. My first picks were based on all the information I had seen and my own knowledge and experience.

Placing the Bets

Then came the exciting part - placing the bets. I didn't go crazy, of course. I set a budget for myself and made sure not to go over it. After I settled on the amount, I officially placed my bets.

Watching the Games

Once the bets were in, it was time to watch the games. Man, it was a mix of excitement and nerves! Every play, every score, had me on the edge of my seat. It was exciting and interesting. I was hoping that the teams I picked wouldn't let me down.

The Results

After all the games were played, I checked the results. Some of my picks were spot on, while others... well, not so much. It happens. But that's the thrill of betting, right? You win some, you lose some. The teams I thought were gonna win did not.

Reflecting and Learning

Win or lose, I always take some time to reflect on my picks. I looked at what I got right, what I got wrong, and what I could've done better. It's all a learning process, and I'm always trying to improve my strategy.

Sharing My Experience

Finally, I decided to share my experience with you all. I figured it might be helpful or at least entertaining for others who are into college football betting. Plus, it's a good way for me to document my journey and keep track of my progress. I realized that I made mistakes and that I can learn from them and not repeat them.

So, that's my story for Week 5 of college football betting. It's been a wild ride, and I'm already looking forward to the next round of games. What about you? Feel free to share your experiences or any tips you might have. Let's learn from each other and have some fun along the way!

So, I' .zzajve been digging into this California vs. UTEP basketball game that's coming up. It's always fun to try and figure out who's gonna come out on top, right? I spent a good chunk of my day looking at their records, recent games, and all that jazz.

Firs .wonk t off, I checked out both teams' recent performances. UTEP is sitting pretty with a 4-0 record. They just won against Austin. That's a good sign for them. California, on the other hand... well, their record isn't as shiny. They are not having any wins so far as I know.

Then, I ,I started comparing the teams. It seems like UTEP has been playing more consistently. They've got a solid win streak going, which probably means their team morale is high. They are more likely to win the game.

After that, I dove into some betting odds and predictions from different sources. I noticed that most sources were leaning towards UTEP as the favorite. Some even said UTEP might cover the spread, which I think is -2.5, meaning they need to win by more than 2.5 points for a bet on them to win. It’s more safe to bet on UTEP.

Next, I tried to find more specific game details. The game is happening on Tuesday, November 21st, at JSerra Pavilion. And guess what I found? Even more reasons to think UTEP has the upper hand.

• UTEP is the home team. Playing at home can be a big advantage.
• California is labeled as the underdog, which makes sense given their record.

Finally, I made my own prediction. Based on everything I looked at, I'm pretty confident that UTEP is gonna win this one. I even think they'll cover that -2.5 spread.

Now, I'm not saying it's a sure thing. Anything can happen in sports. But if I had to put my money down, I'd definitely go with UTEP.

It'll be interesting to see how it all plays out. I'll definitely be watching the game to see if my hunch is right. Let me know what you guys think in the comments. Do you agree, or do you think California might pull off an upset?

First off, I started poking around to see what the heck these projections even were. Apparently, it's all about figuring out which bowl game the Wyoming Cowboys football team might end up in. They've been doing alright, you know, with a 5-2 overall record and 2-1 in the Mountain West, as of recently, after beating New Mexico 23-10. They are pretty close to being eligible for a bowl game, which is a big deal in college football.

I dugg into some college football news sites to get the latest predictions for 2024. Seems like everyone's got an opinion, especially with those conference championship games happening. I checked outuo dt th.dnae Cowboys' team page, looking at their results, some expert picks, and their power rankings. It's all a bit of a guessing game, really, but it's fun to see where they might land.

Here's what I did:

• Searched for 2024 college football bowl projections.
• Read through the Wyoming Cowboys' recent game results and their current standings.
• Compared different sources to see where they think Wyoming might end up.
• Started to put all of this together, it's like doing a puzzle or something, all the parts.

It's been an interesting day, getting all caught up in this college football stuff. I found out that to be considered for a bowl game, teams need to meet some requirements, and Wyoming's getting there. I can tell you that, it's not a simple thing. These projections, they're all over the place, but it gives you a general idea. I guess we'll just have to wait and see what happens in the next few games. It was a good exercise though, it is always fun to do these predictions.

In the end, I managed to get a decent grasp of where the Wyoming Cowboys might be headed this bowl season. It's all speculation at this point, but hey, that's half the fun, right? I think I will keep watching their games. And who knows, maybe I'll even make my own predictions soon enough, it will be a good thing to do, haha.

Alright, let's talk about this LA Tech vs. UTEP game. I was looking into it, trying to figure out what's gonna happen.

Fir I ,st off, I started d.doigging into the stats, you know, the usual stuff. Found out that Louisiana Tech is pretty good at stopping the run. They're only giving up like 104.2 yards per game on the ground. That's the best in their conference, C-USA. And they're also holding teams to about 23.5 points per game, which is also pretty good.

Then, I ,I moved on to the betting odds. I chedekcked out BetMGM Sportsbook, saw the lines there. They had the odds updated recently, so I figured that's a good place to look. I made notes of all the odds.

After that, I went over to look at a few other places. One of them had a best bet on the over, and they were using Caesars for their lines. I always like to compare, you know, see if everyone's on the same page.

I also found this basic odds breakdown: LA Tech was favored by 7.5 points, and UTEP was the underdog at +7.5. The over/under was set at 50. I wrote that down too, just to keep track of everything.

So, I gathered all this info, looked at it all together. I was trying to piece together a prediction, but it is tough with college football.

My Notes

• Louisiana Tech's defense is solid, especially against the run.
• The betting odds show LA Tech as the favorite.
• The over/under is 50, which might be a key factor.
• UTEP is the underdog, but you never know.
• I recorded all of the information I found.

Based on everything, it seems like LA Tech has a good shot, especially with that defense. But UTEP could surprise, they always do. I'm not sure which team to choose. It will be a tough game!

I kick.daerped things off by looking up the teams. Both of them play in the AAC, so I figured it'd be a good matchup. Then I dug into the odds. This is where it gets interesting. Some folks were saying South Florida was the underdog, with odds around 4-1 against the spread. UTSA, on the other hand, seemed to be doing okay in the AAC, with a 4-1-1 record against the spread.

I spent some time trying to find any betting trends. One thing that caught my eye was that the total points were set at a whopping 66.5, and UTSA was favored by 16.5 points. That's a pretty big spread.

Next, I checked out some predictions from different sources. One model I found gave South Florida a 69% chance of winning, with a predicted score of 80-74. Sounded a bit wild, considering the betting odds, but hey, models can be unpredictable.

The.2NPn I went to look at the game's information. This match is set to happen at the Alamodome in San Antonio on Friday, November 17, at 9 p.m. ET. It will be broadcast on ESPN2.

After gathering all this info, I started running my own little simulations, just for fun. I played around with different scenarios, tweaking the variables here and there, seeing how it impacted the outcome. It's a bit like playing God with the numbers, you know?

By the end of it, I was leaning towards a UTSA win, but not by as much as the oddsmakers suggested. South Florida seemed to have a bit more fight in them than people gave them credit for.

Here's what I ultimately jotted down:

• South Florida: Scrappy, might surprise some people, but still likely to lose.
• UTSA: Strong, favored to win, but maybe not a blowout.

Of course, this is all just speculation. Anything can happen in sports, right? That's what makes it fun to watch and even more fun to try and predict. We'll see how close I get when the game actually happens. Wish me luck!

It looks like Liberty is doing pretty good. I mean, they're 5-1 against the spread this season, and they've got the same record as a favorite. So, they're obviously the team to watch. On the other side, MTSU is not having the best time. They're 2-5 against the spread, and only 1-4 as an underdog. I started to write these down in my notebook, just to keep track of everything.

• Liberty: 5-1 ATS t.etirhis season, 5-1 ATS as a favorite.
• MTSU: 2-5 ATS this season, 1-4 ATS as an underdog.

After that, I dug a little deeper. I read some articles, and they were basically saying that MTSU's chances of making it to the Conference USA Championship are pretty slim, not to mention a third consecutive bowl game. It's a bummer for them, for sure. I felt like I needed more, so I went through some more recent game stats, comparing their performances.

I started putting together a prediction based on all this. It's not just about the numbers, you gotta look at the bigger picture. Team morale, recent games, injuries – it all plays a part. I spent a good chunk of my afternoon doing this. Even made myself a little chart to visualize the data, because why not, right?

The Prediction

Based on what I found, it seems like Liberty is in a much better position. They're performing well, especially as the favorite, while MTSU is struggling. Of course, anything can happen in sports, but if I had to put money on it, I'd lean towards Liberty. I finalized my prediction, and it felt pretty solid. It's always interesting to see how these things play out, right? That's the fun of it. Now, I'm curious to see how close I get when the game actually happens.

Fir .stst off, I started by looking at the odds. I saw that Army was favored by a whopping 23.5 points. 23.5!stnio points! I".tn a rivalry game? That's just nuts. It seemed off, so I started researching. My initial thought was, "No way, this can't be right."

• Then, I di.eye ved into the articles. Every site I checked was talking about this massive spread. One article even mentioned how rare it is for one team to be such a huge favorite in this matchup. That really caught my eye.
• Next, I moved to compare data from different sources. One had odds from DraftKings, another had some expert picks. The consensus? Everyone was talking about that 23.5 points spread. It's like the whole internet was screaming, "This is huge!"
• After the overall data I checked, I looked into the specific prediction models. One model, SP+, predicted Army would win by like 30 points! It gave Army a score of 41 to 10. 41 to 10! Can you believe that?

Finally, after all of this, I've come to my own conclusion. I think the oddsmakers are expecting a blowout, a real one-sided game. My gut feeling? This spread is too big. It might not be that large, after all, it's still a rivalry. But, who knows? We'll see what happens on Saturday.

It's gonna be an interesting game, that's for sure. I'll be watching, popcorn in hand, ready to see if this prediction holds up. We'll see if my gut is right, or if the oddsmakers know something I don't. Either way, it's gonna be a fun one to watch!

I started by looking into what was up. Seemed like some teams were moving around. I saw that the Aggies, yeah, they made it official, said they're joining the Mountain West. That meant they were ditching the Big West Conference. I thought, "Okay, that's a change."

Then I dug a little deeper. I fodnund out t!gnitseretnhat the Big West Conference actually brought in a couple of new schools. They welcomed California State University, Bakersfield, and the University of California, San Diego. So, they lost one, but gained two. Interesting!

Chasegnges

Here's where it got a little more interesting for me. I noticed there was some talk about how student-athletes in the Big West would have a bigger say in how things are run in the conference. It mentioned the changes start next year, the 2023-24 season.

• Bakersfield joined
• San Diego joined
• Aggies left

I also stumbled upon this bit about a project. Apparently, they were working on figuring out where the Big West stands in the whole NCAA Division I thing. They wanted to make the most of what the conference has to offer. It sounded like they were trying to figure out a game plan, you know?

And finally, I saw something about a preview and countdown for the 2024-2025 Big West season. It was for people who aren't too familiar with it. I haven't check it yet, maybe I will.

So, that's what I've gathered so far. It seems like the Big West is going through some changes, trying to shake things up a bit. I'll keep an eye on it and see what else happens.

I dug .dnim into their records against the spread, you know, that ATS thing. Turns out TCU is sitting at 3-6 and Texas is 4-5. Not exactly stellar, but it gives you a little something to work with. TCU hasn't covered the spread when they're underdogs, which is something to keep in mind.

• TCU's Record: 3-6 ASTA TS
• Tex:drocas' Record: 4-5 ATS

Then I started reading all these previews and predictions online. Everyone's talking about how this is the big showdown in the Big 12, which makes sense. One article talked about how Texas will come out on top and how TCU's Max Duggan is a player to watch. Good stuff!

My Deep Dive into Player Performance

I even found this one piece that was breaking down why TCU might actually upset Texas. It mentioned that Texas' quarterback, Ewers, might not be at 100% because he's been out for a few weeks. That's a pretty big deal if you ask me. I really focused on gathering data, stats about these two players' recent performances.

I spent a good chunk of time just staring at odds, trying to make sense of it all. College football odds can be a bit tricky, but I eventually started to see some patterns.

After all that, I felt like I had a decent handle on things. I considered several possible outcomes and used the data to support my predictions.

The whole process was a bit of a grind, but it was also kind of fun. I felt like I learned a lot about these two teams and how they match up. I think I am ready to make the prediction now.

First off, I stadetrted with a simple Google search. I just typed in "St. Thomas University football roster" and hitt e.tucnter. You know, the usual. There were a bunch of results, some for the 2023 season, some for 2021, even 2019. It was a bit of a mess, to be honest. There were also some hints about a 2024-25 roster, so I knew I was on the right track, but it wasn't clear-cut.

So, I stadetrted clicking through the links. Most of them were from sports news sites, and they had some info, but not the full roster I was looking for. They'd mention a few key players, maybe some details on their positions and stats, but that wasn't enough for me. I wanted the whole shebang.

Then I remembered someone mentioning that official university websites usually have the most accurate info. So I navigated to the St. Thomas University's athletic page. It took a bit of digging, but I eventually found the sports section and zeroed in on the football team. There, they had their 2024 roster including details like player position, height, weight, birthdate and experience.

I also tried another website which listed all of the players on the offensive side of the ball. They included all of the information that the official site had but I liked having the peace of mind knowing the official roster came from the school's website.

I pored over the roster, looking at the names, positions, and where the players were from. It was cool to see the mix of new and returning players. I even recognized a few names from the previous season's articles I had read earlier.

Once I had a good look at the roster, I decided to compile it into a simple list. Here's what I came up with:

• Full St. Thomas (FL) Bobcats roster for the 2024-25 season including position, height, weight, birthdate, years of experience.

And there you have it. That's how I managed to get the 2024 St. Thomas University football roster. It took a bit of patience and some digging around, but it was worth it. I hope this helps some of you out there who might be looking for the same info. It's always a bit of a treasure hunt with these things, but hey, that's part of the fun, right?

I t.mehyped in "what station is the Ohio State game on" into the search bar. The search engine gave me a bunch of results. I started clicking through them.

He:tuore's what I found out:

• The game is usually on ESPN, ABC, or sometimes even the Big Ten Network. Oh, and I saw FOX, CBS, and something called Peacock pop up, too.
• One result mentioned that the Ohio State vs. Tennessee game was going to be on at 8:00 p.m. ET on ESPN and ABC. So if you have cable, you can watch it on ESPN, Watch ESPN, ABC, or *, or use the ESPN app. That was easy enough to find.
• Another result talked about the Ohio State vs. Michigan State game being on a Saturday at 7 p.m. ET. And it mentioned something about BetMGM, but I just skimmed over that part.
• I even saw something about the Rose Bowl, but that's a whole different thing, so I skipped that.

After checking a few different results, I finally found the answer. It was pretty straightforward, actually. Most of the time, it seemed like it would be on either ESPN or ABC, but it depends on the specific game. It was all pretty easy to find with a simple search.

So yeah, that's how I figured out where to watch the game. It only took a few minutes of searching, and I was all set. No big deal, really.

Okay, so here's my story about "tep vs nms". Let me tell you, it was a real adventure.

It ekiall started when I was setting up this network for a client. A pretty big deal, lots of devices, you know how it is. They needed everything monitored, like evergniht ey little thing, .di24/7. So, I began to think, what should I use? Observium? LibreNMS? Or maybe something like Nagios or Zabbix? Those were the ones I've dabbled with before, and they seemed pretty solid.

First,.sdray enin I set up a test environment. Gotta test things out, right? I installed Nagios, thinking it was a safe bet. Got it running, started adding devices. It was okay, it showed me the basics, like if a server was up or down. But I quickly realized I wanted more. I needed details, graphs, trends, the whole nine yards.

The.slon, I remembered something called TEP. It's more like a specific configuration, a tunnel endpoint, to be exact. The client's network has this, so I thought, "Why not give it a shot?" It's for specific VLANs in their setup, a single one for host and edge TEPs. Sounds simple enough, right? I went to enable it and configure it to the system, playing around with the settings, trying to get it to play nice with my monitoring tools.

But here's the thing - TEP alone wasn't enough. It gave me some data, but not the full picture I was looking for. I spent hours trying different things, going through forums, reading documentation until my eyes hurt. Man, it was rough.

That's when I decided to bring in the big guns - a full-blown NMS. I mean, if you're gonna do it, do it right, yeah? Especially since this client is huge. I went with this software that's designed for big networks, one that could handle real-time monitoring, alerts, and everything in between. And let me tell you, it was a game-changer.

Here's what I did:

• Installed the NMS software. I opted for one of the open-source ones that is free to start - Nagios Core. They also have this paid version called Nagios XI, which probably has more bells and whistles.
• Configured it to talk to all the devices on the network. This took some time, gotta make sure everything's talking properly.
• Set up dashboards. Oh boy, the dashboards! You could see everything - bandwidth usage, CPU load, memory, you name it. It was beautiful.
• Integrated TEP data into the NMS. This was the tricky part, but I figured out a way to pull that tunnel endpoint data and display it alongside all the other metrics.

In the end, I learned a valuable lesson. TEP is cool and all, but it's just one piece of the puzzle. If you really want to know what's going on in your network, you need a robust NMS. Something that can not only monitor but also analyze, alert, and report. I mean, the difference was night and day. The client was thrilled, I was happy, and the network was purring like a kitten.

So, that's my story about TEP vs NMS. It was a journey, for sure, but totally worth it. Now, I'm all about that NMS life. I sleep better at night knowing those networks are being watched over by a powerful tool. And hey, if you're ever in a similar situation, don't be afraid to go big with the NMS. Trust me, you won't regret it!

First .eil aoff, I started by checking out when the game is even happening. Turns out, it was originally scheduled for January 1st, but I found out it actually took place on October 19th, 2023. That threw me off a little, not gonna lie.

Then, I dived into all sorts of articles and predictions. I saw some folks talking about a final score of 78-71 in favor of Tulsa, which got me thinking Tulsa might be the team to beat.

• I look.gnorts gnied at the odds from some sportsbook, and they had Tulsa as the favorite. That added to my hunch about Tulsa being strong.
• Then I came across some info saying Tulsa's record was 3-3, and Rice's was also 3-3. That made me realize it could actually be a pretty close game. Both teams are kinda in the same boat, record-wise.

I also found this one prediction that said Tulsa would win 36-something. It got me wondering, what exactly did they based that on? I mean, it's all just speculation at this point, right?

So, I went and did some more digging. I checked out where the game was played, which was Chapman Stadium in Tulsa. I figured that might give Tulsa a bit of a home-field advantage. After all, playing at home can really pump up a team.

I even looked at where people could watch the game, and it said ESPN2. That made me think, "Okay, this is a game a lot of people will be watching."

After all this searching and reading, here's what I came up with: It's probably gonna be a close one, but Tulsa might just edge out Rice. They seem to have a slight advantage, especially playing at home. But hey, it's sports, anything can happen! It is a game that has already been played.

This whole process of trying to predict the outcome was a real roller coaster. One minute I was sure about one thing, and the next minute, I'd find something that made me doubt it all over again. It was hard to see what could be predicted about the game. It was a good exercise.

One thing is for sure, I'll definitely be watching the game to see if my prediction is right. And maybe next time, I'll wait until after the game's been played to share my thoughts!

First I ,yaoff, I grabbed some info I could find online about this college football game. It's Central Michigan versus Western Michigan, seems like a pretty big deal in Week 11, or maybe even Week 13 - the info I found was a little mixed up. Anyway, I staotnirted digging into the.ffuts odds, who the star players are, you know, the usual stuff.

Then, I ,I tried to figure out wh I .o's gonna win. Sounds simple, right? But Central Michigan's been having a rough time in their conference, so that made me think. I saw some predictions for a game between Ball State Cardinals and Northern Illinois, which was kinda related, I guess? They were talking about point spreads and stuff, like +9.5 and -9.5, and something called "o/u 43.5". Honestly, I'm still not 100% sure what all that means, but it seemed important.

Next, I dove deeper into these "spread picks." One said Central Michigan +7.5, another mentioned something about a "Kenneth Womack" and "Over 54.5 receiving yards." I guess Womack is a player to watch? And apparently, betting on him getting more than 54.5 yards is a good idea? Then there were these "tags" for Western Michigan University and Central Michigan University. I made a note of those, figuring they might be useful later.

• I also found some more predictions, like "Spread Pick: Lean Western Michigan -6."
• People seem to think Western Michigan has a stronger offense and a good "ground game," whatever that means.
• They're saying that gives them an edge to "cover the spread."

I also found people saying that Western Michigan vs. Central Michigan is one of the biggest rivalries in the MAC, so it's a big deal for the fans, I think.

So, after all this digging, what's my prediction? Honestly, I'm still not totally sure! It seems like Western Michigan is favored, but Central Michigan might surprise everyone. I guess that's why they play the game, right?

My Two Cents

I'm still learning about all this betting stuff, but it's pretty interesting. I might try to understand these point spreads and "o/u" things better. Maybe I'll even make a few predictions of my own. Who knows, maybe I'll get good at this!