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	286.87	8606	27th
Goals	0.67	20	42nd
Assists	0.43	13	35th
Saves	1.0	30	26th
Shots	1.83	55	16th
Demos	1.1	33	80th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	286.87	#812 / 1215	#81 / 134
Goals	0.67	#601 / 1215	#60 / 134
Assists	0.43	#682 / 1215	#71 / 134
Saves	1.0	#738 / 1215	#68 / 134
Demos	1.1	#327 / 1215	#22 / 134

64% of the season is played (30 → ~47 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 (75 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	8606	13483	13591	13591	13482 – 13700
Goals	20	31	32	31	26 – 37
Assists	13	20	21	19	16 – 25
Saves	30	47	47	50	41 – 54
Shots	55	86	88	86	79 – 97
Demos	33	52	51	51	44 – 57
MVPs	4	6	6	6	4 – 9

From 26 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	359.5
Avg boost	48.7
Boost stolen / game	499.4
% time at 0 boost	12.3%
Avg speed (uu/s)	1423.0
% supersonic	8.6%
% time high in air	1.7%
Avg distance to ball	3183.8
% time attacking third	20.3%
Demos / game	1.1
Demos taken / game	0.8
Shooting %	32.9%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Amateur	49	0.63	0.24	1.74	369
S25	Contender	26	0.54	0.15	1.12	383
S26	Contender	26	0.62	0.46	1.04	359

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	0.61	0.64	0.58 – 0.7
Assists/game	0.46	0.44	0.42 – 0.5
Saves/game	1.04	1.11	0.96 – 1.17
Shots/game	1.81	1.86	1.76 – 2.02

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
Unc_Rez	S25	Challenger	0.7	0.48	1.04	0.47
DinninDu	S25	Rival	0.67	0.44	1.11	0.66
Unc_Rez	S24	Challenger	0.56	0.44	1.25	0.71
Ark7000	S17	Amateur	0.72	0.44	1.11	0.76
hoyci	S22	Veteran	0.58	0.42	1.06	0.96
Cynical89	S24	Prospect	0.55	0.45	0.94	0.99
dyl	S18	Challenger	0.67	0.56	1.22	1.01
fyooze	S22	Challenger	0.63	0.4	0.9	1.03
Shea Butter	S26	Challenger	0.79	0.53	1.16	1.05
MeOnDisplay	S24	Challenger	0.5	0.5	0.83	1.06

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.