How are these calculated?

Composite: each per-game stat (goals, assists, saves, shots, demos, shooting %, MVPs) is turned into a z-score vs the player's tier peers, weighted by how much it correlates with winning, summed, then shrunk toward the tier average for small samples (games / (games + 8)).

Tier dominance: that composite expressed two ways - a percentile within the tier (rank), and a margin in standard deviations above the tier average (how big an outlier). The margin is what flags genuine outliers vs. someone merely top of a tight tier.

Overall rating (0-100): the composite plus a tier-strength bonus (Premier counts most), turned into a league-wide percentile - so it's comparable across tiers, unlike tier dominance.

Projects as: re-sorting every player by overall skill into the tiers' real sizes, the tier this player would land in. Projecting up a tier (and being an outlier) = "overskilled." A model estimate.

Per-game production (percentile within Contender)

Stat	Per game	Total	Percentile in tier
Points	308.23	9555	49th
Goals	0.65	20	41st
Assists	0.48	15	50th
Saves	1.0	31	26th
Shots	2.35	73	54th
Demos	0.94	29	66th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	308.23	#710 / 1215	#57 / 134
Goals	0.65	#638 / 1215	#66 / 134
Assists	0.48	#586 / 1215	#55 / 134
Saves	1.0	#738 / 1215	#68 / 134
Demos	0.94	#473 / 1215	#38 / 134

64% of the season is played (31 → ~48 games). Projected (this season) blends the current rate with the tier average (regression to the mean). Projected (all data) instead regresses toward the player’s own career rate (46 games across 1 past seasons). Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	Projected (all data)	80% range
Points	9555	14795	14826	14826	14714 – 14937
Goals	20	31	31	32	26 – 36
Assists	15	23	23	23	19 – 28
Saves	31	48	48	46	42 – 55
Shots	73	113	113	114	103 – 123
Demos	29	45	45	44	38 – 51
MVPs	3	5	5	5	3 – 7

From 27 ballchasing replays (matches + scrims). Advanced OVR is a percentile among the 762 players with enough replay data - separate from the box-score OVR above.

Boost / min	361.7
Avg boost	48.0
Boost stolen / game	372.4
% time at 0 boost	13.8%
Avg speed (uu/s)	1431.4
% supersonic	9.3%
% time high in air	2.1%
Avg distance to ball	3169.0
% time attacking third	18.8%
Demos / game	0.9
Demos taken / game	0.8
Shooting %	26.5%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Contender	46	0.94	0.39	0.61	335
S26	Contender	27	0.63	0.44	1.04	362

Historical analysis - data: Official · All seasons (change in the nav)

Where the 25 most similar players from 11 completed past season(s) landed for each per-game stat (median + middle-50% range). A "players like you finished here" anchor that complements the pace projection above.

Stat	This season	Comparables median	Typical range
Goals/game	0.63	0.68	0.62 – 0.72
Assists/game	0.44	0.44	0.41 – 0.48
Saves/game	1.04	1.09	1.0 – 1.17
Shots/game	2.26	2.22	2.05 – 2.39

Most similar players (across RSC history)

Nearest matches by per-game production & play-style (goals, assists, saves, shots, boost, speed, positioning, demos), standardized across 6659 player-seasons. Lower distance = more similar.

Player	Season	Tier	Goals/g	Assists/g	Saves/g	Similarity
Scomps	S25	Challenger	0.69	0.57	1.09	0.82
seandfeeney	S25	Contender	0.68	0.41	1.18	0.82
Drebin.	S21	Rival	0.63	0.53	1.16	0.88
D0pey killer	S24	Amateur	0.73	0.48	0.96	0.90
Xaerous	S14	Elite	0.62	0.38	1.0	0.92
MeOnDisplay	S23	Prospect	0.64	0.44	1.27	0.94
Itchyramrod420	S17	Amateur	0.82	0.47	0.96	0.94
Cynical89	S23	Prospect	0.63	0.44	1.09	0.99
B0A._.	S23	Prospect	0.74	0.37	0.96	1.03
Tazlien	S24	Prospect	0.67	0.27	1.0	1.04

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.

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Data source: live (rscna.com) - standings & schedule refresh hourly.