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 Veteran)

Stat	Per game	Total	Percentile in tier
Points	352.34	10218	50th
Goals	0.83	24	59th
Assists	0.55	16	42nd
Saves	1.62	47	77th
Shots	2.45	71	38th
Demos	1.31	38	70th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Veteran
Points	352.34	#403 / 1215	#68 / 170
Goals	0.83	#358 / 1215	#55 / 170
Assists	0.55	#445 / 1215	#78 / 170
Saves	1.62	#161 / 1215	#31 / 170
Demos	1.31	#217 / 1215	#40 / 170

56% of the season is played (29 → ~52 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	10218	18322	18330	18183 – 18477
Goals	24	43	43	36 – 50
Assists	16	29	29	23 – 35
Saves	47	84	83	73 – 93
Shots	71	127	128	116 – 140
Demos	38	68	67	58 – 76
MVPs	3	5	6	3 – 8

From 28 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	499.1
Avg boost	51.1
Boost stolen / game	669.8
% time at 0 boost	17.1%
Avg speed (uu/s)	1648.7
% supersonic	23.2%
% time high in air	4.2%
Avg distance to ball	2966.6
% time attacking third	22.2%
Demos / game	1.2
Demos taken / game	1.1
Shooting %	36.0%

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	0.79	0.79	0.73 – 0.83
Assists/game	0.54	0.59	0.5 – 0.64
Saves/game	1.43	1.44	1.33 – 1.57
Shots/game	2.21	2.65	2.54 – 2.84

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
TyrannosaurusPapercut781	S23	Premier	0.71	0.59	1.23	1.17
dlnaod.	S26	Elite	0.82	0.57	1.54	1.28
Sparky ;)	S26	Elite	0.71	0.59	1.76	1.47
Enterprise15	S26	Prospect	0.7	0.52	1.17	1.54
Dxso(?)	S22	Veteran	0.76	0.61	1.33	1.56
Enterprise15	S25	Prospect	0.58	0.42	1.58	1.57
AhmedSa-	S26	Elite	0.79	0.71	1.43	1.64
Reprise	S13	Elite	1.0	0.5	1.38	1.65
Argnor	S22	Master	0.82	0.6	1.12	1.68
spuf.	S22	Master	0.98	0.68	1.49	1.70

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.