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  1. Yesterday
  2. Hey guys, new here and looking forward to trying out the football sims!
  3. Coach Frederick Aura We're ending our regular season tonight. It’s not gone like I would have liked. Yeah, we’ve won 15 games. But we’ve lost 14. Worse, we’re stuck in the bottom half of the conference standings with a 7 and 10 record. We had 2 season-long injuries, but I can’t blame our record on that. If you look at our team stats, they’re pretty much average and about the same as our opponents. But that’s merely reflective of our overall near .500 record. We don’t have any individual stars. Craig Smith is our leading scorer (11.3 ppg) and rebounder (6.9 rpg). Melvin Steele and Nick McPherson have combined to do a pretty good job at C. Our perimeter players have been adequate but haven’t provided the production we need from those positions. Tonight the Charleston Cougars are visiting. They are right below us in the conference standings with a 6-11 record and have only won 7 of the 28 games they’ve played throughout the season. But they whipped us by 19 points when we played them earlier this season on their court. The Cougars leading scorer is SF Lee Read who is averaging 11.5 ppg. He scored 15 against us earlier this season, so I’m hopeful we can limit him. I’m starting 4 seniors, Holmes at PG, Evans at SG, Settles at SF, and Smith at PF, tonight since this will be their final home game for us. But our two regular starters (Ryan Taylor at SG and Eric Shannon at SF) will get their normal minutes. So here’s how the game went: We started out 1 for 7 from the field and fell behind 9-2. The Cougars’ C Mike Patterson scored 13 of Charleston’s first 15 points. At that point we trail by 10 and have hit just 2 of 14 FG attempts. Midway through the half we finally woke up and began cutting into their lead. With 5 minutes remaining we went ahead 25-23 on a dunk by Melvin Steele. We continued to play well and took a 42-32 halftime lead. We raised our FG shooting to 45%. We forced Charleston to make 10 turnovers. SF Matt Settles scored 11 to lead us offensively. Defense predominated early in the 2nd half. Midway through the half we were up by 13. The Cougars made a few mini runs to give us a scare but we were able to pull away again each time. We finished with a 76-60 victory that improved our conference record to 8-10 to place us in a tie with Elon for 6th place. We held an advantage in most team stats, but most importantly we made just 12 turnovers while Charleston had 21. PF Craig Smith dropped in 16 points and had 8 rebounds. SG Ryan Taylor also scored 16, SF Eric Shannon had 11, and PG Ryan Holmes hit for 10. Yeah, this is me trying to help our guys find tha basket:
  4. Northwestern State Demons | Team 2 Episode 8: And a Stumble "We are at Northwestern State at this stage of our journeyman save. We have completed a stellar first season. We had a nice run last episode, can it continue this go-round? Follow along and we’d appreciate a Like and a Subscribe."
  5. Tim Moungey Wolverine Studios Community Manager What Do Those Advanced Basketball Stats Mean, Anyway? Sports metrics and measures of analysis have made dramatic improvements over the last decade or so. We’re now able to better pinpoint from a statistical perspective just how good a given player or team actually is. Here at Wolverine Studios, we keep current on the latest models and advanced statistics and find ways to integrate them into our games. But that can often lead to confusion from people who aren’t as familiar with the latest trends. What’s Offensive Rating?, they ask, and what does that stat tell me about my team and players? Consequently, we thought it’d be a good idea to talk about some of the advanced stats for one of our flagship games, Draft Day Sports: Pro Basketball – specifically, explaining what they measure and how you can use them as a gauge. Offensive Rating, Defensive Rating, and Net Rating The brainchild of statistician Dean Oliver, Offensive Rating, Defensive Rating, and Net Rating mark one of the biggest leaps forward in terms of understanding how both players and teams perform on those respective sides of the ball. Offensive Rating Team We won’t delve into the mathematical formulas here, as they can be rather eye-glazing and don’t address what you want to know. But simply put, a team’s Offensive Rating measures how many points a team scores per 100 possessions. Player As you might expect from the above, a player’s Offensive Rating measures how many points that individual scores per 100 possessions. The higher the offensive rating, the better the number, obviously. So what’s a good offensive rating? That depends. For the last two seasons, the average NBA offensive rating has been 110.4, according to Basketball Reference. In the early 2000s – before today’s perimeter-oriented offense, it ranged from 103-106. However, take note of any time a player, team, or lineup has an Offensive Rating below 100. That means they’re scoring less than a point per possession. That’s not very efficient usage at all. Defensive Rating Team As you can probably guess, Defensive Rating looks at how many points a team gives up per 100 possessions – or the opposite of what Offensive Rating measures. Player Similar to what we’ve already seen, a player’s Defensive Rating tells us how many points a player surrenders per 100 possessions. Completely opposite to Offensive Rating, you want the Defensive Rating for both your team and players to be as low as possible. Don’t be surprised if a player has an average Defensive Rating over 100, though – only 30 people in NBA history have ever achieved a Defensive Rating under 100. Net Rating Simply, net rating is the difference between Offensive Rating and Defensive Rating. A positive number is good; a negative number bad. Let’s take a look at some of the lineup data from a save to see how this is displayed in DDS:PB. Our in-game lineup tracking lets you easily see what the good (and bad) rotations areAs you can see, the team’s most used lineup and third-most used lineup are playing very well, and there’s a potential Death Lineup (h/t to the Golden State Warriors for introducing this to our basketball vocabulary) at the bottom of the screen. Excellent net ratings all around. Where there’s an issue? The second-most used lineup. That’s a horrible Net Rating. And although we haven’t shown you the full screen, it’s clear from looking at the aggregate lineup data that Mike Berry and Jason Minor on the court together is the issue – every single lineup involving that pair has a negative Net Rating, regardless of who else is with them. Effective Field Goal %, True Shooting %, and Usage Rate The days when Field Goal Percentage and 3 Point Percentage were the best measurements of a player’s offensive efficiency have been dead since the 1990’s. We now have Effective Field Goal %, True Shooting %, and Usage Rate, which paint a far more clear picture of just how good a player is on the offensive end. Effective Field Goal % The math here is simple enough – (Field Goals + 0.5* Three Pointers)/Field Goal Attempts. What EFG % has over plain FG% is that it takes into account the fact that three-pointers are worth more on the stat sheet than two-pointers. So you could, for example, have a player who attempts 10 field goals inside the arc and makes 4 of them. You could have another player who attempts 10 field goals behind the arc and makes 4 of those. On the stat sheet, the FG % will be 40% for both. But the EFG will be 40% for Player A, and 60% for Player B. That’s a massive 20% difference. What qualifies as a good Effective Field Goal percentage will, like everything else, depend on your league. In the early 2000s, the league average was around 47-48%. In today’s NBA, the average is 52.4%. Averaging them, you can use 50% as a ballpark measure. True Shooting % So what’s missing from Effective Field Goal %? That’s right – free throws. True Shooting % (TS %) rectifies that. The formula is Total Points Scored/(2*(Field Goal Attempts + 0.44 * Free Throw Attempts). As a rule of thumb, True Shooting of 50% is average, 55% is excellent, and above 60% is world-class efficiency. To gain a complete measure of how good a shooter a player is, it’s best to take into account both their Effective Field Goal % and their True Shooting %. Usage Rate The calculation is incredibly lengthy, so we’ll simplify it for you.Usage Rate establishes what percentage of a team’s plays a given player was involved in that resulted in one of the following: a field goal attempt, a free throw attempt, or a turnover. An average usage rate is around 20%, which is logical – 100% Usage available, divided by five players on the court = 20% usage per player – everything be equal. Where this matters in DDS:PB terms: You want your most effective players, as measured by Effective Field Goal and True Shooting percentages, to have the highest Usage Rates to maximize your team’s offensive efficiency. Let’s look at the same team from earlier to see an example. DDS: Pro Basketball 2020 is full of advanced stats to help you make decisionsGreat news here from the team’s perspective – Kendall Dallas has the highest True Shooting and Effective Field Goal percentage *and* the highest Usage Rate. No wonder this squad went 48-34 this season. Dennis Sanchez, on the other hand, looks terrible from those metrics. But that’s why he’s only played in 3 games this season. The staff knows he’s a poor performer in their setup. As you can see from that screen, there’s more advanced stats we could talk about, but we’ll reserve those for another post. We hope you’ve found this information helpful. To check out a free demo of Draft Day Sports: Pro Basketball or any of other sports simulations, go here. The post Understanding Advanced Stats appeared first on Wolverine Studios. View the full article
  6. Los Angeles Express (6-2) 7 17 7 3 -- 34 Arizona Wranglers (1-7) 3 0 3 10 -- 16 First Quarter Arizona - Gramatica 42 FG, 10:31 Los Angeles - QB Charlie Batch 1 run (Brown kick), 13:04 Second Quarter Los Angeles - HB Michael Bennett 16 run (Brown kick), 8:27 Los Angeles - WR Dennis Northcutt 1 pass from QB Charlie Batch (Brown kick), 12:31 Los Angeles - Brown 51 FG, 14:59 Third Quarter Los Angeles - FB Dan Kreider 4 run (Brown kick), 7:55 Arizona - Gramatica 21 FG, 14:36 Fourth Quarter Arizona - Gramatica 40 FG, 8:46 Los Angeles - Brown 34 FG, 11:25 Arizona - WR Joe Jurevicius 7 pass from QB Donovan McNabb (Gramatica kick), 14:06 STATS Team Passing Cmp Att Yds %% TD INT LA QB1 Charlie Batch 15 28 170 53.6 1 2 ARI QB1 Donovan McNabb 17 33 208 51.5 1 1 Team Rushing Att Yds Avg TD Fmb LA HB1 Clinton Portis 25 164 6.6 0 2 LA HB2 Michael Bennett 4 55 13.8 1 0 LA FB1 Dan Kreider 2 15 7.5 1 0 ARI HB1 Deuce McAllister 12 80 6.8 0 1 ARI FB1 Robert Thomas 7 39 5.6 0 0 ARI HB2 Troy Hambrick 6 22 3.7 0 0 Team Receiving Rec Yds Avg TD Fmb Trgt LA WR3 Anquan Boldin 5 48 9.6 0 0 9 LA WR5 Javon Walker 1 34 34.0 0 0 1 LA HB1 Clinton Portis 2 29 14.5 0 0 2 LA WR4 Mike Furrey 2 19 9.5 0 0 5 ARI WR1 Todd Pinkston 5 70 14.0 0 0 9 ARI WR2 Joe Jurevicius 5 47 9.4 1 0 9 ARI WR3 Darnerien McCants 2 26 13.0 0 0 5 ARI WR4 Snoop Minnis 1 23 23.0 0 0 2 Offensive Player of the Game - Los Angeles HB Clinton Portis Defensive Player of the Game - Arizona CB Tod McBride (1 interception, 1 tackle for loss, 2 run stops, 1 pass deflection) KEY POINTS - Arizona committed 7 penalties for 35 yards (Los Angeles committed no penalties) - Arizona CB David Barrett and CB Tod McBride had interceptions; Los Angeles CB Izell Reese had an interception - Los Angeles DT John Thornton has 2 sacks - Arizona WR Darnerian McCants hyper-extended his knee and will be out 3 weeks
  7. Thanks for a great input and it has been added to the todo-list
  8. I've played all the sims on whatifsports.com but most of those games feel very dated. any good suggestions??
  9. Defending FBS National Champions LSU Tigers. Disappointed we are getting robbed from a great college baseball season.
  10. Hi...looking forward to trying the game out...
  11. Hi...Looking forward to trying out the football sim
  12. Cards' Journeyman Stream | "S3 EP1 - Recruiting Time" Florida A&M Rattlers
  13. Last week
  14. Rockies confirm! McKenzie adds a nice dynamic/ insurance to our OF. Great locker room fit as well. thanks Soze!! I have the feeling I am going to have to hang my hat on taking the Angles to 7 games as my career accomplishment. Lol.
  15. Seattle sends... OF Roy McKenzie (100% retained) Colorado sends... Rule 5 draft rights of Luis Mendez (he's on Seattle's roster already) OF Domingo Manuel - Rookie League Seattle was looking for some roster flexibility with MR Luis Mendez, and this trade achieves that. He'll likely float between the majors and AAA this year as we need. In addition, we receive 16-year old OF prospect Domingo Manuel, who will likely shift to a 1B position given his handedness (lefty), size (6'6") and defense (it's bad) in the outfield. In exchange, we move steady backup OF Roy Mckenzie (retaining 100% of his 2020 salary), who is a team leader off the bench for the M's, but there are 4 OF in AAA ready for the opportunity in the big show. Thanks for the deal Eddie, and good luck the rest of the way in your pursuits of losing to the AL in the World Series!
  16. Baltimore Sun sports page article ANOTHER BUMP IN THE ROAD Towson scored the first 4 points in the game but then went into a scoring drought during which Hofstra spurted ahead 15-4. The Tigers finally began scoring but their 31% shooting kept them from cutting into the lead. They finished the half trailing 38-28. PF Craig Smith was the lone standout for the Tigers, scoring 13 and pulling down 6 rebounds in the half. The second half was characterized by the same poor shooting by the Tigers. They finished the game having hit just 36% of their shots compared to the Pride’s 53% shooting. After cutting the lead to 9 points, Towson had a meltdown and they sustained a 74-58 drubbing. PF Craig Smith with 13 points and C Melvin Steele with 10 points were the only Towson players to score in double figures. The road has been disastrous for the Tigers. They have won just 1 of 9 road games in conference play. When asked about that, Coach Frederick Aura stated, “Road wins are tough for all teams, but we’ve had the tendency to fall behind early and then not had the ability to come back. We just haven’t shot well when playing away. When you shoot under 40%, you most often lose.”
  17. EP18: We're Back! | Toronto Blue Jays with Minor League Focus | Season 1 | Episodes Friday & Tuesday on GMG Network "In this episode of the 2020 Toronto Blue Jays sim, we have a post-All-Star Break let down while the minor leaguers chug along! We see some great signs of progress from some of our draftees and take a look at how some of the newly promoted players are doing."
  18. Can anyone help me find a league?
  19. My name is Anthony Goods! Little RocK!
  20. Chicago Blitz (3-5) 7 7 7 3 -- 24 Tampa Bay Bandits (7-1) 14 14 7 10 -- 45 First Quarter Chicago - HB Jamal Lewis 5 run (Edinger kick), 5:39 Tampa Bay - HB Fred Taylor 1 run (Brown kick), 7:18 Tampa Bay - HB Olandis Gary 52 run (Brown kick), 15:00 Second Quarter Tampa Bay - HB Olandis Gary 8 run (Brown kick), 8:42 Chicago - WR DOnald Driver 36 pass from QB Joe Hamilton (Edinger kick), 11:50 Tampa Bay - WR Randy Moss 12 pass from QB Marc Bulger (Brown kick), 14:37 Third Quarter Chicago - HB Jamal Lewis 9 pass from QB Joe Hamilton (Edinger kick), 4:44 Tampa Bay - HB Fred Taylor 16 run (Brown kick), 8:07 Fourth Quarter Tampa Bay - FB Terrelle Smith 2 run (Brown kick), 1:28 Chicago - Edinger 45 FG, 9:07 Tampa Bay - Brown 26 FG, 13:09 STATS Team Passing Cmp Att Yds %% TD INT TB QB1 Marc Bulger 18 26 274 69.2 1 0 ChI QB1 Joe Hamilton 15 29 169 51.7 2 0 Team Rushing Att Yds Avg TD Fmb TB HB1 Fred Taylor 14 138 9.9 2 1 TB HB2 Olandis Gary 5 75 15.0 2 0 TB FB1 Terrelle Smith 6 28 4.7 1 0 CHI HB1 Jamal Lewis 18 83 4.6 1 0 CHI HB2 Sammy Morris 8 52 6.5 0 0 CHI FB1 Fred Beasley 2 14 7.0 0 0 Team Receiving Rec Yds Avg TD Fmb Trgt TB WR1 Randy Moss 7 110 15.7 1 0 8 TB WR3 Troy Walters 3 62 20.7 0 0 4 TB TE1 Eric Johnson 4 53 13.3 0 0 4 TB WR2 Plaxico Burress 3 43 14.3 0 0 5 Team Receiving Rec Yds Avg TD Fmb Trgt CHI WR3 Cedrick Wilson 6 69 11.5 0 0 8 CHI WR1 Donald Driver 4 58 14.5 1 0 8 CHI WR2 Travis Taylor 2 21 10.5 0 0 5 CHI HB1 Jamal Lewis 1 9 9.0 1 0 1 Offensive Player of the Game - Tampa Bay HB Fred Taylor Defensive Player of the Game - Chicago S Cory Hall (1 sack, 1 forced fumble, 1 fumble recovery) KEY POINTS - Tampa Bay's rushing attack steamrolled the Chicago defense for 259 yards - Tampa Bay finished with a 3-9 record last season; their 7-1 record this year is a huge turnaround
  21. I agree with others, this game really covers all the thing about European basketball. Very detailed about the players and staff database There are some bugs still need to fix but, when you have enough time to being master of it the joy is getting from the PCF goes higher and higher. While playing PCF19 I promoted the the Montecatini Terme team and being a Euroleage champion after 8 seasons... Wow such a nice experience it was. I recommend this game. Nowadays I am helping for some translation work for this game. Wait for PCF 21 !
  22. Hey all, My name is Çağıl, I discovered this website while looking for something about the PCFantaCanestro (basketball). I am from Turkey, and 32 by now. I am not a master of maybe football manager games, but I really aprreciate when I found something about basketball and like the developments-training logic of those games. You can send me email via [email protected] Feel free to ask anything. I hope I can find interesting unknown good games around here
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