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	250.12	2001	10th
Goals	0.5	4	12th
Assists	0.38	3	23rd
Saves	1.0	8	26th
Shots	1.75	14	12th
Demos	0.5	4	18th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	250.12	#901 / 1215	#100 / 134
Goals	0.5	#791 / 1215	#91 / 134
Assists	0.38	#761 / 1215	#83 / 134
Saves	1.0	#738 / 1215	#68 / 134
Demos	0.5	#806 / 1215	#82 / 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). Projected (all data) instead regresses toward the player’s own career rate (19 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	2001	3002	3135	3135	3087 – 3184
Goals	4	6	6	5	4 – 9
Assists	3	4	5	5	3 – 7
Saves	8	12	12	13	9 – 15
Shots	14	21	22	20	18 – 26
Demos	4	6	7	7	4 – 9
MVPs	1	2	2	2	1 – 3

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

Boost / min	311.1
Avg boost	47.1
Boost stolen / game	339.9
% time at 0 boost	10.0%
Avg speed (uu/s)	1470.6
% supersonic	9.1%
% time high in air	3.9%
Avg distance to ball	3124.6
% time attacking third	18.1%
Demos / game	0.5
Demos taken / game	0.9
Shooting %	31.1%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Prospect	19	0.21	0.42	1.37	330
S26	Contender	8	0.5	0.38	1.0	311

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	0.5	0.59	0.5 – 0.62
Assists/game	0.38	0.38	0.35 – 0.46
Saves/game	1.0	1.04	0.98 – 1.09
Shots/game	1.75	1.92	1.75 – 2.0

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
YourBadKittyCat	S21	Contender	0.62	0.4	1.13	0.82
iargue	S26	Prospect	0.47	0.44	0.88	0.91
perk_at_play	S14	Prospect	0.5	0.25	1.12	0.91
Novarchite	S20	Prospect	0.59	0.35	1.02	0.92
S0UL09	S24	Challenger	0.5	0.38	0.75	0.93
FattyMcChef04	S25	Contender	0.43	0.4	1.09	0.94
rinny_b0y	S22	Contender	0.6	0.22	1.05	0.96
YERP_YERP02	S21	Contender	0.5	0.5	0.93	0.99
iProfessorEx	S19	Veteran	0.67	0.33	0.78	1.03
D1REW00F	S18	Amateur	0.5	0.38	0.82	1.03

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.