alleygorithm
player impact + groups
PlayersTeamsGroupsGamesTrends
alleygorithm
player impact and winning groups

NBA analytics grounded in win probability, player impact, and the groups that have actually driven winning.

PlayersTeamsGroupsGamesTrendsHow it worksDevelopersPro
WPA-powered analytics from play-by-play data
← Back to groups
Pair•Current season•Through 2026-03-19
Dyson Daniels
CJ McCollum
ATL logo
WAS logo

Dyson Daniels + CJ McCollum

Over 100 shared possessions, this pair has added about +0.019 wins after shrinkage. That is 100th percentile on 1,897 shared possessions, which currently reads as a high confidence signal. This sample is sturdy enough to treat as a real rotation signal.

Rank #3|100th percentile|high confidence|1,897 poss
League percentile100.0th
0th (worst)25th50th (median)75th100th (best)
050100
Better than 100% of pairs. Rank #3 in this window, with 1,897 shared possessions and high confidence.
Impact / 100
+0.019
Surplus
+0.004
Grade
100%
high confidence · grade A+
Context
This sample is sturdy enough to treat as a real rotation signal.
The member average is +0.032, while the group's expected baseline is +0.016.
Surplus read
The group is performing close to what you would expect from the members involved.
Member profiles
Dyson Daniels
ATL logo
ATL
+0.029
95th pctl
9,313 posshighOff +0.016 / Def +0.021
CJ McCollum
WAS logo
WAS
+0.034
97th pctl
8,091 posshighOff +0.013 / Def +0.028