The Impications:
58.7. tsp
39.0 3pt
76.4. ftp
51.8. fgp

Defense
pg 92
sg. 63
sf. 90
pf 84
c 77

My Hot take? I don't look at TS% at all... players shoot FTs at such a different rate in the sim, so I think it can be misleading.

All right, So this year I am going to let my AI Notebook evaluate the teams again. I did my team first as a test. I will prioritize the teams that sent me depth charts first. I will start work on those tomorrow, I am currently taking care of my sick son today so the test eval is all I have time for.

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AI Review: Yorkz Dorkz (samuelyork93)

Yorkz Dorkz presents an exceptionally engineered, physical roster that leverages positional flexibility to build a defensive fortress and a glass-cleaning titan. By evaluating the team across the core pillars—Roster Management & Positional Integrity, the Shooting Struggle, the Possession Battle, and the Foul Factor—this roster emerges as a top-tier contender built on overwhelming rebound probability and defensive resistance, though it carries distinct vulnerabilities in ball security and perimeter volume.

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Roster Management, Positional Integrity & Usage Optimization

• Positional Integrity & Size Advantage: Depth chart construction for Yorkz Dorkz is a masterclass in legal positional manipulation. The engine strictly penalizes players utilized at positions where their effectiveness drops below the 96% cutoff. Yorkz Dorkz completely avoids engine-breaking reductions by slotting oversized frontcourt players into guard and wing roles while maintaining high effectiveness ratings: Christian Wood (6'10") plays 21 minutes at SG (99% SG Eff), Brandon Clarke plays 15 minutes at SG (100% SG Eff), Draymond Green plays 27 minutes at SF (100% SF Eff), David West plays 12 minutes at SF (99% SF Eff), and Bam Adebayo plays 33 minutes at PF (100% PF Eff). Slotting Wood at SG and West at SF incurs only "marginal" penalties, safely clearing the 96% threshold while providing colossal size and rebounding across all five positions.
• Usage Distribution: The team’s overall weighted cumulative Usage% sits at approximately 111.9% for the starting lineup and 110.1% team-wide. This lands cleanly inside the 100% to 115% optimal window needed to maximize shot volume while avoiding individual possession penalties that degrade shooting percentages. Furthermore, the starting unit easily generates 14 Usage Points (Jimmy Butler 4, Christian Wood 4, Draymond Green 2, Bam Adebayo 2, Artis Gilmore 2), comfortably exceeding the 10-point minimum threshold to eliminate team possession penalties.
• Playmaking Baseline: The team boasts a weighted cumulative Assist% of 74.97%, easily beating the 52-league average of 69.2% and well clear of the 64% break-even baseline. Driven by elite distribution from Draymond Green (24.3% Ast%), Jimmy Butler (19.6%), Bam Adebayo (18.8%), Manu Ginobili (17.0%), Joakim Noah (16.4%), and David West (15.5%), the roster guarantees an ongoing shooting efficiency multiplier across all rotations.

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The Shooting Struggle

• Raw Efficiency vs. League Averages: Offensively, Yorkz Dorkz posts a weighted team eFG% of 56.50%, sitting 0.7% below the league average of 57.2%. While bench depth pieces like Brandon Clarke (65.0% eFG%), Greg Oden (60.5%), Torrey Craig (58.8%), Christian Wood (58.3%), and David West (57.5%) shoot at hyper-efficient rates, primary usage options such as Manu Ginobili (53.9% eFG%), Draymond Green (55.1%), Bam Adebayo (55.8%), and Artis Gilmore (56.0%) keep the raw team baseline modestly below average.
• Perimeter Spacing Vulnerability: The team generated 457 made three-pointers on 1,218 attempts (37.5% 3PT). On an 82-game basis, this translates to roughly 5.6 made threes per game, trailing the league benchmark of 7.5 3PM/game. While perimeter threats like Ginobili (128 3PM), Wood (105 3PM), Green (100 3PM), James Johnson (40 3PM), Butler (36 3PM), and Craig (36 3PM) provide enough spacing to prevent complete abandonment of the outside, opposing managers facing this team could manually adjust defensive settings to collapse on the paint.
• Defensive Resistance: What the team lacks in raw eFG%, it more than makes up for on defense. The team posts a staggering weighted average Defensive Rating of 79.43, dwarfing the league average of 73.3 (+6.13 points better). Anchored by David West (100 Def Rtg), Draymond Green (90), Brandon Clarke (85), Artis Gilmore (80), Bam Adebayo (80), Manu Ginobili (80), James Johnson (80), and Greg Oden (76), this suffocating defense directly lowers opponent shooting percentages on every possession.

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The Possession Battle

• Rebounding Dominance: This category represents the defining strength of Yorkz Dorkz. The team features a colossal weighted cumulative Defensive Rebound Percentage (DReb%) of 105.63%, utterly crushing the league average of 96.6% and the 90% competitive baseline. Because rebounding is an individual matchup probability calculation in the SimEngine, fielding frontcourt rebounders at guard and wing spots—such as Christian Wood (25.5% DReb% at SG), Brandon Clarke (16.6% DReb% at SG), and Draymond Green (21.7% DReb% at SF) alongside Artis Gilmore (28.7%), Joakim Noah (27.5%), Greg Oden (26.5%), and Bam Adebayo (23.5%)—virtually eliminates opponent second-chance attempts.
• Offensive Rebounding: The team's cumulative Offensive Rebound Percentage (OReb%) sits at 38.81%, matching the league average of 39.1% and comfortably exceeding the 30% bare minimum. Led by Greg Oden (14.6% OReb%), Artis Gilmore (12.9%), Brandon Clarke (10.3%), Joakim Noah (8.7%), Bam Adebayo (7.9%), and Torrey Craig (7.9%), the roster consistently creates extra possessions off misses.
• Ball Security (The Core Vulnerability): The primary weakness of Yorkz Dorkz is turnover frequency. The team posts a cumulative TO% of 14.59%, noticeably higher than the league average of 12.8%. Across the total roster minutes (19,757 minutes across 82.3 game equivalents), the squad surrendered 1,433 turnovers (~17.4 TO per 48 minutes vs. 15.8 league avg benchmark). High-volume playmakers like Draymond Green (4.4 TO/48), Bam Adebayo (4.1), Artis Gilmore (3.9), David West (3.8), and Manu Ginobili (3.7) frequently cough up the ball, squandering a portion of the extra possessions earned on the glass.

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The Foul Factor

• Free-Throw Generation: Yorkz Dorkz is a foul-drawing monster. The team attempted 2,991 free throws (2,224 FTM, 74.4% FT), averaging 36.5 FTA per game, which easily exceeds the league average of 33.1 FTA. Jimmy Butler (555 FTA), Artis Gilmore (559 FTA), Bam Adebayo (430 FTA), Manu Ginobili (372 FTA), and Christian Wood (281 FTA) consistently force opponents into foul trouble and secure the most mathematically efficient shots in the game.
• Personal Fouls Committed: The team commits 20.93 personal fouls per 48 minutes, slightly above the league average of 19.9. Heavy frontcourt minutes for Artis Gilmore (4.1 PF/48), Draymond Green (4.1), Bam Adebayo (3.6), and Greg Oden (8.0 PF/48 in limited action) inflate this metric. However, the net free-throw attempt differential remains overwhelmingly positive (+3.4 FTA/game over opponents), protecting the team's stars while keeping opponents off balance.

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Rotation Dynamics & Bench Combinations

Evaluating the full 12-man rotation reveals seamless structural stability across unit transitions:

• Starting Lineup (Butler / Wood / Green / Adebayo / Gilmore):
  • Positional Size & Glass: Fields three players over 6'9" (Wood, Adebayo, Gilmore) alongside elite wing rebounders.
  • Metrics: Cumulative Usage is 111.9% (14 Usage Points); eFG% is 56.2%; Defensive Rating averages 77.4; DReb% totals 111.9%. This unit locks down the paint and dominates the glass.
• Bench / Secondary Combinations (Ginobili / Clarke / West / Johnson / Noah / Craig / Oden):
  • Playmaking & Efficiency Spikes: When Ginobili replaces Butler at PG and Brandon Clarke / Torrey Craig step into SG, the unit's raw eFG% jumps significantly due to Clarke (65.0% eFG%), Craig (58.8%), and Oden (60.5%).
  • Defensive Lockdown: Inserting David West (100 Def Rtg) at SF and Brandon Clarke (85 Def Rtg) at SG pushes unit Defensive Rating above 82.0, while Joakim Noah (27.5% DReb%) and Greg Oden (26.5% DReb%) maintain 100%+ cumulative DReb% levels.
  • Usage Balance: Bench combinations retain 106.5%–111.0% cumulative usage and 12–14 Usage Points, ensuring zero sub-100% usage penalties occur when starters rest.

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Conclusion & Letter Grade

Yorkz Dorkz is a masterfully constructed "bully ball" roster that abuses positional effectiveness guidelines to dominate both ends of the floor. By legally deploying Christian Wood and Brandon Clarke at guard and David West at Small Forward, the team achieves historic defensive rebounding (105.63% DReb%) and stifling defensive resistance (79.43 Def Rtg) without incurring mechanical engine penalties. While high turnover numbers (14.59% TO%) and modest three-point volume (5.6 3PM/game) keep this team from being completely flawless, their overwhelming possession volume and massive free-throw differential give them a championship-caliber floor.

Letter Grade: A-

Team York Score: 37.08

*The Team York Score is a formula of my own design that measures the three pillars that ashamael mentions in his team building guide. It is an altered formula of a Dork/York score (an individual player season metric) I came up with by reverse engineering Chewy's Chewyscores. But the Dork/York scores have changed a lot as I have tweaked it and this is a team wide version of it.

I fibbed I am doing one more...

AI Review: Just Maybe Baby (kammeyer)

Just Maybe Baby presents an exceptionally engineered, physical roster that leverages legal positional flexibility to build an elite defensive fortress and a glass-cleaning juggernaut. By evaluating the team across the simulation engine's core pillars—Roster Management & Positional Integrity, the Shooting Struggle, the Possession Battle, and the Foul Factor—this squad emerges as a championship-caliber contender built on suffocating defensive resistance, dominating defensive rebounding, and disciplined ball security, though it carries minor limitations in free-throw generation and raw perimeter volume.

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Roster Management, Positional Integrity & Usage Optimization

• Positional Integrity & Size Advantage : Depth chart construction for Just Maybe Baby is a masterclass in exploiting positional flexibility without triggering engine penalties. The SimEngine severely penalizes players utilized at positions where their effectiveness drops below the 96% cutoff, but Just Maybe Baby completely avoids unplayable penalties by slotting oversized frontcourt and wing players into smaller roles while maintaining high effectiveness ratings: Jalen Johnson (6'8") plays 30 minutes at SG (100% SG Eff), Hot Rod Williams plays 30 minutes at SF (98% SF Eff), Hassan Whiteside plays 25 minutes at PF (99% PF Eff), Brandan Wright plays 12 minutes at SF (100% SF Eff), Robert Covington plays 6 minutes at SF (100% SF Eff), and Dejounte Murray logs 18 minutes at SG alongside 11 minutes at PG (100% SG/PG Eff). Slotting Hot Rod Williams at SF (98%) and Whiteside at PF (99%) incurs only minor/marginal penalties while comfortably clearing the strict 96% threshold, giving the team a massive size and rebounding advantage across every position.
• Usage Distribution : The team’s cumulative Usage% sits at 103.7% for the starting lineup and stays between 104.0% and 111.0% team-wide across bench rotations. This lands cleanly inside the optimal 100% to 115% window required to maximize shot attempts while avoiding individual possession penalties that inflate turnovers and degrade shooting percentages. Furthermore, the starting unit generates 12 Usage Points (Chris Paul 4, Jalen Johnson 4, Hassan Whiteside 2, Hot Rod Williams 1, Dikembe Mutombo 1), comfortably exceeding the 10-point minimum threshold to eliminate team possession penalties.
• Playmaking Baseline : The team boasts a weighted cumulative Assist% of 75.96%, easily beating the 52-league average of 69.2% and standing well clear of the 64% break-even baseline. Driven by high-level distribution from Chris Paul (35.9% Ast%), Dejounte Murray (29.6%), Scotty Pippen (25.8%), and Jalen Johnson (24.7%), the roster guarantees a steady shooting efficiency multiplier across all 48 minutes.

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The Shooting Struggle

• Raw Efficiency vs. League Averages : Offensively, Just Maybe Baby posts a weighted team eFG% of 55.65%, sitting 1.55% below the 52-league average of 57.2%. While bench efficiency specialists like Robert Covington (65.1% eFG%), Brandan Wright (61.8%), Hassan Whiteside (60.5%), Kel'el Ware (60.1%), and Nerlens Noel (59.5%) shoot at hyper-efficient rates, primary usage options like Jalen Johnson (53.7% eFG%), Chris Paul (54.5%), Dejounte Murray (50.0%), and Hot Rod Williams (50.3%) keep the team's raw baseline modest.
• Perimeter Spacing Vulnerability : The team generated 528 made three-pointers on 1,432 attempts (36.87% 3PT) across 19,864 total rotation minutes. On an 82-game basis, this translates to roughly 6.4 made threes per game, trailing the league benchmark of 7.5 3PM/game. While perimeter threats like Chris Paul (139 3PM), Jalen Johnson (120 3PM), Dejounte Murray (96 3PM), Kel'el Ware (92 3PM), and Robert Covington (49 3PM in 6 MPG) provide enough outside threat to prevent complete collapse, opposing managers could attempt to set manual defensive positioning to pack the paint against non-shooting frontcourt starters like Mutombo, Whiteside, and Hot Rod Williams.
• Defensive Resistance : What the team lacks in raw eFG%, it more than compensates for on the defensive end. The team posts an elite weighted average Team Defensive Rating of 81.70 (16.34 average per position), dwarfing the 52-league average of 73.3 (+8.4 points higher/better defense). Anchored by Dikembe Mutombo (100 Def Rtg), Hassan Whiteside (100), Brandan Wright (97), Robert Covington (97), Hot Rod Williams (93), Chris Paul (90), and Branden Carlson (90), this suffocating defense directly depresses opponent shooting percentages on every possession.

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The Possession Battle

• Rebounding Dominance : Defensive glass control is the defining superpower of Just Maybe Baby. The team features a colossal weighted cumulative Defensive Rebound Percentage (DReb%) of 104.45%, completely crushing the 52-league average of 96.6% and the 90% competitive baseline. Because rebounding evaluates individual matchup probabilities in the SimEngine, fielding elite rebounders at guard and wing spots—such as Jalen Johnson (25.8% DReb% at SG) and Dejounte Murray (20.3% DReb% at Guard) alongside Hassan Whiteside (30.3%), Kel'el Ware (27.0%), Dikembe Mutombo (24.1%), Nerlens Noel (21.1%), and Robert Covington (18.8%)—virtually eliminates opponent second-chance opportunities.
• Offensive Rebounding : The team's cumulative Offensive Rebound Percentage (OReb%) sits at 37.66%, slightly below the 52-league average of 39.1%, but comfortably clearing the 30% bare minimum requirement. Led by Hassan Whiteside (12.5% OReb%), Kel'el Ware (12.3%), Dikembe Mutombo (10.9%), Hot Rod Williams (10.3%), and Nerlens Noel (9.2%), the frontcourt consistently manufactures extra possessions off missed shots.
• Ball Security & Possession Economy : Unlike many oversized rosters that bleed possessions through turnovers, Just Maybe Baby maintains strong ball security. The team posts a cumulative TO% of 12.88%, right in line with the league average of 12.8%. Across 19,864 total rotation minutes (~82.8 game equivalents), the squad surrendered only 1,231 turnovers (~14.9 TO per 48 minutes vs. 15.8 league benchmark). Primary ball-handlers protect the rock exceptionally well (Chris Paul 3.2 TO/48, Hot Rod Williams 1.6 TO/48, Whiteside 3.1 TO/48), preserving the possession advantage created on the glass.

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The Foul Factor

• Free-Throw Generation : Just Maybe Baby generates solid but modest free-throw volume. The team attempted 2,460 free throws (1,799 FTM, 73.13% FT), averaging 29.7 FTA per game, which trails the 52-league average of 33.1 FTA. Dikembe Mutombo (439 FTA), Jalen Johnson (382 FTA), Hot Rod Williams (359 FTA), Hassan Whiteside (329 FTA), and Chris Paul (321 FTA) carry the bulk of the foul-drawing load.
• Personal Fouls Committed & Differential : The team plays disciplined defense, committing 19.12 personal fouls per 48 minutes, which sits below the 52-league average of 19.9 PF/48. Even with heavy interior minutes for Mutombo (4.4 PF/48) and Whiteside (4.5 PF/48), low foul rates from Chris Paul (3.4 PF/48), Jalen Johnson (2.9 PF/48), Hot Rod Williams (3.8 PF/48), and Dejounte Murray (2.8 PF/48) protect star minutes and limit opponent trips to the charity stripe.

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Rotation Dynamics & Bench Combinations

Evaluating the full 12-man rotation reveals seamless structural stability across unit transitions:

• Starting Lineup (Paul / Johnson / Williams / Whiteside / Mutombo):
  • Positional Size & Glass : Fields three frontcourt players 6'9"+ (Williams, Whiteside, Mutombo) alongside a 6'8" wing (Johnson at SG) and Chris Paul.
  • Metrics : Cumulative Usage is 103.7% (12 Usage Points); Defensive Rating averages 85.6; DReb% totals 107.8%; Ast% totals 77.3%. This group completely locks down the paint and dominates defensive boards.
• Bench / Secondary Combinations (Murray / Ware / Noel / Wright / Covington / Carlson / Pippen):
  • Playmaking & Efficiency Spikes : When Dejounte Murray (29.6% Ast%) steps in at SG/PG, playmaking remains elite while unit eFG% jumps thanks to high-efficiency finishers like Robert Covington (65.1% eFG%), Brandan Wright (61.8%), Kel'el Ware (60.1%), and Nerlens Noel (59.5%).
  • Defensive Lockdown : Subbing Brandan Wright (97 Def Rtg) and Robert Covington (97 Def Rtg) into wing spots preserves an elite Team Defensive Rating above 80.0, while Kel'el Ware (27.0% DReb%) and Nerlens Noel (21.1% DReb%) keep unit DReb% above 100%.
  • Usage Balance & Perimeter Stretch : Bench units maintain 104.0%–111.0% cumulative usage and 11–13 Usage Points, eliminating under-usage penalties while Kel'el Ware (92 3PM, 39.3% 3PT) and Robert Covington (49 3PM, 44.8% 3PT) inject crucial frontcourt shooting depth.

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Conclusion & Letter Grade

Just Maybe Baby is an exceptionally built roster that successfully manipulates positional effectiveness to field immense size without incurring simulation penalties. By playing Jalen Johnson at SG and Hot Rod Williams at SF, the team creates an insurmountable defensive rebounding wall (104.45% DReb%) and elite defensive resistance (81.70 Def Rtg) while taking great care of the ball (12.88% TO% / 14.9 TO/48). While a modest 3-point volume (6.4 3PM/game) and slightly below-average raw eFG% (55.65%) keep them from being entirely flawless offensively, their supreme defense, ball security, and rebounding dominance make them a top-tier championship contender.

Letter Grade: A-

Team York score: 39.43

*denotes starter
PG
*25-26 Tyrese Maxey - 32 min
15-15 George Hill - 16 min

SG
*15-16 Kawhi Leonard - 29 min
24-25 Obi Toppin - 19 min

SF
*91-92 Larry Nance - 35 min
25-26 Tidjane Salaun - 7 min
62-63 Howie Jolliff - 4 min
20-21 Alize Johnson - 2 min

PF
*24-25 Evan Mobley - 25 min
73-74 Bob McAdoo - 23 min

C
*22-23 Walker Kessler - 19 min
73-74 Bob McAdoo - 19 min
20-21 Tony Bradley - 10 min

I love that the AI cares about height and physicality. What would it say about Chet? Is it possible to post the AI team scores without the breakdown? I would love to see how it turns out compared to the sim engine. One thing you can't model is the crazy lineups the sim creates due to its inane substitution logic.

Posted by BenJoker on 9/14/2026 1:27:00 PM (view original):
I love that the AI cares about height and physicality. What would it say about Chet? Is it possible to post the AI team scores without the breakdown? I would love to see how it turns out compared to the sim engine. One thing you can't model is the crazy lineups the sim creates due to its inane substitution logic.

Elaborate what you mean, I can make it do just about anything lol

You can probably only do it with teams already in the league but it would be fun to see each team's AI team score. Will it mirror win totals?

Posted by BenJoker on 9/14/2026 5:51:00 PM (view original):
You can probably only do it with teams already in the league but it would be fun to see each team's AI team score. Will it mirror win totals?

Ai score? Do you mean the letter Grade or the Team York score? I am confused, I can be dense sometimes... But I can do this with any team as long as I have the team data and depth chart

I encourage everyone to send Sam the info. These are fun to read.

I hate letter grades, so team york score. But detailed analysis for others is also fun

Posted by BenJoker on 9/14/2026 7:41:00 PM (view original):
I hate letter grades, so team york score. But detailed analysis for others is also fun

Funny thing is, the Team York score is all me, not the AI lol and I do plan on posting every single team's score.

All the games between copernicus and me will probably be 97-95.