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	324.48	6814	22nd
Goals	0.76	16	53rd
Assists	0.57	12	48th
Saves	1.05	22	14th
Shots	2.19	46	21st
Demos	0.9	19	42nd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Veteran
Points	324.48	#623 / 1215	#106 / 170
Goals	0.76	#449 / 1215	#64 / 170
Assists	0.57	#401 / 1215	#70 / 170
Saves	1.05	#725 / 1215	#117 / 170
Demos	0.9	#515 / 1215	#79 / 170

56% of the season is played (21 → ~37 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 (35 games across 2 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	6814	12006	12136	12136	12020 – 12253
Goals	16	28	28	29	23 – 34
Assists	12	21	21	22	16 – 26
Saves	22	39	40	40	33 – 47
Shots	46	81	83	86	73 – 93
Demos	19	33	34	33	28 – 40
MVPs	0	0	1	1	0 – 2

From 20 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	397.7
Avg boost	46.1
Boost stolen / game	527.8
% time at 0 boost	10.9%
Avg speed (uu/s)	1463.0
% supersonic	11.3%
% time high in air	5.5%
Avg distance to ball	2775.6
% time attacking third	20.6%
Demos / game	0.9
Demos taken / game	0.7
Shooting %	39.5%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S22	Rival	8	0.62	0.62	1.0	367
S23	Veteran	27	0.96	0.7	1.44	397
S26	Veteran	20	0.8	0.6	1.1	398

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	0.8	0.81	0.76 – 0.85
Assists/game	0.6	0.58	0.53 – 0.62
Saves/game	1.1	1.11	1.07 – 1.2
Shots/game	2.3	2.48	2.32 – 2.6

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
SE AT WORK	S24	Prospect	0.83	0.68	1.19	0.71
Dc	S26	Rival	0.71	0.58	1.13	0.72
Unc_Rez	S26	Prospect	0.68	0.64	1.11	0.77
StruttRL	S25	Prospect	0.68	0.57	1.2	0.85
Terx	S21	Veteran	0.85	0.65	1.05	0.91
Metatonixz	S22	Veteran	0.7	0.57	1.11	0.91
DJ L1T	S26	Contender	0.77	0.53	1.27	0.93
(P|F)ineapple	S24	Elite	0.67	0.65	1.33	0.94
DonkeyPancakes2	S24	Rival	0.64	0.58	1.09	0.94
Dino incarnate	S24	Prospect	0.85	0.54	1.17	0.94

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.