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	380.04	9501	88th
Goals	1.28	32	95th
Assists	0.44	11	40th
Saves	0.96	24	24th
Shots	3.36	84	95th
Demos	0.84	21	58th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	380.04	#215 / 1215	#13 / 134
Goals	1.28	#29 / 1215	#5 / 134
Assists	0.44	#663 / 1215	#67 / 134
Saves	0.96	#807 / 1215	#83 / 134
Demos	0.84	#561 / 1215	#47 / 134

64% of the season is played (25 → ~39 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 (112 games across 3 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	9501	14822	14608	14608	14499 – 14717
Goals	32	50	48	48	42 – 54
Assists	11	17	17	17	13 – 21
Saves	24	37	38	39	32 – 44
Shots	84	131	128	126	117 – 138
Demos	21	33	33	32	27 – 38
MVPs	4	6	6	6	4 – 8

From 25 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	339.8
Avg boost	50.9
Boost stolen / game	440.0
% time at 0 boost	11.0%
Avg speed (uu/s)	1457.5
% supersonic	9.9%
% time high in air	3.0%
Avg distance to ball	3219.4
% time attacking third	19.9%
Demos / game	0.8
Demos taken / game	0.6
Shooting %	38.5%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S23	Prospect	44	0.82	0.48	1.46	304
S24	Challenger	30	0.8	0.47	1.13	288
S25	Prospect	38	0.63	0.29	1.1	308
S26	Contender	25	1.28	0.44	0.96	340

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	1.28	1.25	1.14 – 1.33
Assists/game	0.44	0.47	0.43 – 0.52
Saves/game	0.96	1.07	1.0 – 1.17
Shots/game	3.36	3.07	3.0 – 3.3

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
GeneralLeigh91	S25	Amateur	1.29	0.39	1.02	0.89
rinny_b0y	S19	Amateur	1.33	0.54	0.93	0.99
Riddle	S14	Rival	1.33	0.5	1.08	1.17
DumplingsAreGod	S25	Prospect	1.3	0.62	1.2	1.25
Butlight_guy	S19	Challenger	1.36	0.46	1.36	1.29
NJ111_	S20	Rival	1.25	0.55	1.15	1.30
TTV Ravenshunter	S22	Veteran	1.16	0.37	1.21	1.31
Alfredo	S23	Amateur	1.31	0.47	1.16	1.33
zerajule	S24	Challenger	1.06	0.51	1.02	1.33
Prezmo_	S20	Challenger	1.21	0.47	0.95	1.36

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.