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	357.22	6430	79th
Goals	0.78	14	60th
Assists	0.61	11	77th
Saves	1.67	30	93rd
Shots	2.11	38	40th
Demos	0.61	11	36th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	357.22	#365 / 1215	#23 / 134
Goals	0.78	#426 / 1215	#43 / 134
Assists	0.61	#318 / 1215	#26 / 134
Saves	1.67	#127 / 1215	#7 / 134
Demos	0.61	#746 / 1215	#70 / 134

64% of the season is played (18 → ~28 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 (55 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	6430	10002	9879	9879	9790 – 9967
Goals	14	22	22	23	17 – 26
Assists	11	17	17	17	13 – 20
Saves	30	47	45	45	39 – 51
Shots	38	59	60	63	53 – 67
Demos	11	17	18	16	14 – 22
MVPs	3	5	5	5	3 – 7

From 15 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	344.8
Avg boost	49.2
Boost stolen / game	254.6
% time at 0 boost	14.3%
Avg speed (uu/s)	1486.1
% supersonic	11.5%
% time high in air	2.5%
Avg distance to ball	3090.4
% time attacking third	18.7%
Demos / game	0.5
Demos taken / game	0.5
Shooting %	37.2%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Amateur	55	1.18	0.69	1.16	353
S26	Contender	15	0.87	0.73	1.47	345

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	0.87	0.79	0.67 – 0.88
Assists/game	0.73	0.69	0.64 – 0.75
Saves/game	1.47	1.47	1.32 – 1.53
Shots/game	2.27	2.33	2.14 – 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
Braybaum02	S23	Veteran	0.66	0.75	1.51	0.93
CagiestSafe6	S25	Challenger	0.79	0.66	1.47	0.95
DyLon37	S18	Challenger	0.88	0.56	1.38	1.02
Barra	S20	Elite	0.75	0.69	1.69	1.05
XuR	S19	Contender	0.9	0.8	1.6	1.06
Shrek Is The Best Anime	S24	Rival	0.74	0.77	1.3	1.07
doctorprofessor_	S24	Rival	0.84	0.81	1.51	1.08
NoobZ	S26	Veteran	0.88	0.72	1.44	1.09
Mochi	S23	Veteran	0.65	0.71	1.65	1.09
steel.reserve	S21	Veteran	0.67	0.67	1.58	1.12

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.