Viziball Basketball analytics, Mobile Logo

Mon, Nov 4, 2024

15 games 
Viziball Basketball analytics, Logo

Mon, Nov 4, 2024

15 games 
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Post-Game Report
Monday, November 4, 2024

Milwaukee Bucks, Basketball team, function toUpperCase() { [native code] }, logo 2024


Bucks

114
Cleveland Bucks, Basketball team, function toUpperCase() { [native code] }, logo 2024


Cavaliers

116

Game overview

Impact (PIE)

Circles are representing players and are positioning according to time spent on the field (horizontal) and Plus/Minus (vertical). Best performances are the larger circles at the top and reciprocally for poorer ones.

D. Garland
Impact (PIE)
  Shows what % of game events did a player achieve. The stats being analyzed are your traditional basketball statistics (PTS, REB, AST, TOV, etc..)
More information...

Ratio chart

Ball control

This chart offers a classification of players based on a ratio between 2 insights (vertical vs. horizontal). The blue lines classify players/circles in 4 distinct parts. This makes it possible to estimate a player profile based on his positioning.

Ball control
Assists / Turnovers : estimates the ability to control offensive sequences with the ball in hand.


Box score

MP
PTS
DRB
ORB
AST
STL
BLK
TUR
PF
FG A
FG
%FG
2PTS A
2PTS
2PTS%
3PTS A
3PTS
3PTS%
FT A
FT
FT%
+/-
DRAWN F

Game flow

Cavaliers vs. Bucks

This chart shows the game flow play-by-play: point differential, lead changes, lead duration, ties and score spread.

Lead change6
Tied game7
MIL  CLE
   

Player impact

D. Garland

Colored lines show progression for the three main stats. For further details, the heatmap gives insight of the player impact per sequence, depending of the intensity of bricks. The more it is dark, the more the impact is high. The spider chart below shows in more detail the impact for diverse aspects of the game.

pts rbds asts
D. Garland *
 See player profile
* Most Viziball Player
  The spider chart helps estimating players skills on different aspects of the game. Each axis is a rating between 0 and 100, strictly based on the statistics that we have at our disposal. To see the statistics used in the calculation of each score, just click on the name of the axes.

Parallel chart

A player is represented by a path crossing statistical points through vertical axes. The higher is the path, the higher is the statistic. This chart helps comparing players with each other at a glance and quickly see who leads and how much he leads. For a better understanding, it only shows the 6 most impactful players. But you can switch button below to see all players and also switch on/off the whole team.

D. Garland
Manage bars
Points
Rebounds
Assists