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 Rival)

Stat	Per game	Total	Percentile in tier
Points	309.5	1238	21st
Goals	0.25	1	4th
Assists	0.75	3	87th
Saves	1.25	5	35th
Shots	3.0	12	81st
Demos	1.0	4	53rd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	309.5	#705 / 1215	#106 / 164
Goals	0.25	#907 / 1215	#127 / 164
Assists	0.75	#116 / 1215	#16 / 164
Saves	1.25	#513 / 1215	#85 / 164
Demos	1.0	#387 / 1215	#55 / 164

56% of the season is played (4 → ~7 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 (150 games across 4 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	1238	2166	2230	2230	2185 – 2275
Goals	1	2	3	3	1 – 5
Assists	3	5	5	4	3 – 7
Saves	5	9	9	9	6 – 12
Shots	12	21	20	19	16 – 24
Demos	4	7	7	7	5 – 10
MVPs	0	0	0	0	0 – 1

From 4 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	430.9
Avg boost	52.5
Boost stolen / game	604.5
% time at 0 boost	10.8%
Avg speed (uu/s)	1597.9
% supersonic	16.7%
% time high in air	3.1%
Avg distance to ball	2816.9
% time attacking third	23.5%
Demos / game	1.0
Demos taken / game	0.0
Shooting %	6.2%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S21	Challenger	2	0.5	0.0	1.0	412
S22	Challenger	23	0.52	0.13	1.13	398
S23	Challenger	52	0.69	0.31	1.6	395
S24	Rival	49	0.51	0.63	1.63	403
S25	Rival	26	0.73	0.46	1.65	414
S26	Rival	4	0.25	0.75	1.25	431

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	0.69	0.71	0.64 – 0.77
Assists/game	0.31	0.38	0.31 – 0.42
Saves/game	1.6	1.58	1.48 – 1.65
Shots/game	2.54	2.38	2.21 – 2.5

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
newk . . .	S25	Elite	0.71	0.29	1.48	0.93
SGE Nemesis	S19	Veteran	0.75	0.38	1.75	0.99
levibullrush	S13	Challenger	0.67	0.25	1.58	1.05
DribblingPenguin	S25	Elite	0.72	0.38	1.84	1.07
SquattyPotty737	S25	Challenger	0.92	0.25	1.58	1.30
Craque	S24	Veteran	0.72	0.37	1.73	1.30
derrrrrrrrp	S22	Veteran	0.78	0.38	1.49	1.33
Chiharu6503	S26	Rival	0.67	0.42	1.5	1.33
Swanny2.0	S26	Challenger	0.81	0.35	1.38	1.33
6 lbs of Yeet	S24	Elite	0.72	0.52	1.59	1.33

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.