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	354.5	2836	77th
Goals	0.88	7	73rd
Assists	0.38	3	23rd
Saves	1.38	11	77th
Shots	2.12	17	41st
Demos	0.75	6	45th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	354.5	#384 / 1215	#25 / 134
Goals	0.88	#275 / 1215	#30 / 134
Assists	0.38	#761 / 1215	#83 / 134
Saves	1.38	#385 / 1215	#26 / 134
Demos	0.75	#633 / 1215	#57 / 134

64% of the season is played (8 → ~12 games). Projected (this season) blends the current rate with the tier average (regression to the mean). . Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	80% range
Points	2836	4254	4179	4127 – 4232
Goals	7	10	10	8 – 13
Assists	3	4	5	3 – 7
Saves	11	16	16	13 – 19
Shots	17	26	26	22 – 30
Demos	6	9	9	7 – 12
MVPs	2	3	3	2 – 4

From 8 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	336.5
Avg boost	54.5
Boost stolen / game	257.5
% time at 0 boost	8.2%
Avg speed (uu/s)	1473.9
% supersonic	10.9%
% time high in air	2.6%
Avg distance to ball	3247.5
% time attacking third	12.2%
Demos / game	0.8
Demos taken / game	0.8
Shooting %	47.3%

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	0.88	0.72	0.67 – 0.88
Assists/game	0.38	0.39	0.36 – 0.46
Saves/game	1.38	1.44	1.33 – 1.55
Shots/game	2.12	2.34	2.12 – 2.44

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
ImPodz	S24	Amateur	0.86	0.39	1.29	1.71
Lorak	S17	Contender	0.88	0.38	1.38	1.72
superstrikzz	S21	Contender	0.75	0.38	1.38	1.83
Kesu	S18	Rival	0.75	0.5	1.62	1.92
BeardedFrodo1	S23	Amateur	0.71	0.36	1.14	1.92
Beans	S13	Elite	0.7	0.4	1.2	1.96
IndisputablyJack	S17	Challenger	0.88	0.25	1.5	1.97
Cwuzzy	S24	Challenger	0.88	0.5	1.5	2.00
SRSExKAOS	S25	Rival	0.67	0.27	1.47	2.05
Veoloux	S25	Elite	0.72	0.56	1.4	2.07

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.