Discovering the Hidden Data - New Features on eFHUB [Amadeusz’s eFootball™ Lab Ep. 1]

Why does Vieira excel as a defensive midfielder? His interceptions are superior His blocking is great too Beyond skills, hidden data plays a role Some model data needs unpacking to be seen It's crucial to performance Vieira's arm and leg length are both 14 This is the highest in-game value These stats combined with his height Create a vast defensive coverage area Other top defenders also benefit From favorable model data Model size impacts offensive play too Like headers and ball shielding We'll analyze leg coverage diameter And model data's in-game impact Tests are mainly on PC version But mobile uses the same engine Arm length matters on mobile too Let's begin with leg coverage 11 body stats can be unpacked now They match PES edit mode data From the previous game era Old range was -7 to +7 Now it's 0 to 14 There's no real difference We'll use 0-14 scale in this analysis Old edit mode helps visualize Our research findings For leg coverage Height and leg length are key In edit mode, we see that Height scales player size proportionally Leg length alters leg-to-body ratio Without changing overall height Comparing leg length 0 and 14 Shows a precise difference Leg length 0 is 56% of height Length 14 is 59% of height A 3% difference Other stats don't affect leg length Real interception scenario shows When a player intercepts Torso is the center Range includes waist width and leg projection In tackles or interceptions Different situations Change leg ground projection We use an average value Head shadow is 0. 7x leg length Waist width is 0.

16x height From this information We derive leg coverage formula Coverage information Is on EF Hub App or website Hover to see original model data Among top defenders and midfielders Large coverage includes these players Vieira tops the list Zakaria, also a defensive mid 1. 91m tall, leg length 12 Has a large leg range too This explains their in-game effectiveness Leg range affects defense And 50-50 ball contests Long legs can poke ball away earlier Help forwards reach low crosses Next, we'll prove Model data affects actual gameplay Not just a visual effect Look at this test It's a superimposed image Comparing leg length 14 vs 3 In slow movement, without sprinting All else being equal The one with longer legs Moves further in the same time Precise analysis shows Leg length 14 is 4. 2% ahead of 3 Step frequency is the same The lead comes from larger stride Due to the bigger leg model Model data affects actual matches Further analysis shows Leg 14 is 2% longer than leg 3 Leg 14 is 5.

3% longer than leg 0 This matches visual observation 59% divided by 56% Equals 5. 3% Verifying our coverage formula Leg length changes leg model From 56% of height To 59% This information Gives us equivalent leg length height Vieira's is 1. 99 meters Meaning his leg model length Matches 1.

99m player average Equivalent leg length height Helps understand A player's leg coverage level This experiment also shows The value of large leg model In-game, except sprint speed Other movements like defensive steps Ignore acceleration and speed stats Crab step speed depends on leg model This movement is common in defense To avoid being shaken off You can't always sprint AI-controlled defenders In man-marking or tracking Move slowly, not sprinting Leg model size matters here Now, let's discuss arm coverage Hand movements are crucial in defense Extending arms to disrupt Slows opponent, enables body contact What affects arm coverage? Testing edit mode indicators Arm length and shoulder width matter Precise calculations show We found that Arm length 0 vs 14: 3% difference Shortest vs longest shoulder width Differs by 2% Analyzing like body coverage arm coverage formula is this These defensive players Have large arm coverage Rüdiger's data impresses overall Leg, arm, shoulder all excel 190cm tall, Let's wait his ST card Arm coverage crucial for goalkeepers Top keepers with best coverage: Only B-condition legend Is goalkeeper Schmeichel His 193cm not highest for keepers But arm 10, shoulder 11 stand out Height alone doesn't define keepers Compare Čech and Schmeichel 196cm Čech seems better on paper Than 193cm Schmeichel But Čech's arm length is only 5 Schmeichel's is 10 Schmeichel's arm coverage are much wider About 3cm more in reach Current version favors contact Arms affect opponent's ball control Body contact depends on torso collision Large torso helps defenders Forwards with big torsos shield better Avoid tackles more easily Torso model affected by shoulder width Waist and thigh circumference too Players mostly use shoulders in contact Shoulder width most affects model width When evaluating torso models Shoulder width has larger coefficient Formula ignores weight Weight mainly inflates body Doesn't affect joints or skeleton Players' ages often change body data For different looks and feels But weight stays constant It's not that important Largest torso collision models Are these In contact-heavy version Koller becomes more dominant Even without headers His model and contact ability Help score ground balls Among enhanced defenders and mids Large torso models include these Big models aid their defense Besides this Are larger models always better? Any drawbacks?

Many think larger means clumsier See this comparison Different body types turning Take same time All turning actions in-game Have same speed rate Even acceleration doesn't affect turns Another defensive action set Comparing these two players Body type difference doesn't Affect sliding tackle speed The 190cm tall player Due to model advantage Reaches further from same position Not just slides Except dribbling, all actions Aren't slower with larger models No "clumsiness penalty" Even pre-shot kick speed Isn't model-affected Not even by ability values Messi and Maguire kick equally fast In summary, with same abilities Larger models are better For defenders Next, maximum jump height First, neck length unlike leg length Affects actual height To verify In new version engine I set two players' height The same Neck lengths 0 and 14 In same wall position Neck length affects height Precise calculations show Longest vs shortest neck: 2% height difference Actual height formula is this Second, based on my previous tests Jump value correlates to max height Here's the result One jump point equals 0. 66cm Combining both pieces of info We get max jump height formula Measures real aerial ability On eFHUB, as points added This indicator changes real-time Next, leg length's special benefits From previous coverage analysis Leg length and height increase range But leg length sometimes better Like in slow movement Taller players move faster Higher leg length also faster But interestingly Different heights have different steps Engine intentionally sets this If all had same step frequency Tall players would be too fast Due to larger model advantage So they reduced tall players' steps Giving them movement advantage But not excessively This adjustment doesn't apply to leg length So high leg length players Get big model benefits without step debuff This leads to 1. 80m player with leg length 14 And 1.