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 Premier)

Stat	Per game	Total	Percentile in tier
Points	337.0	7751	44th
Goals	0.7	16	38th
Assists	0.35	8	12th
Saves	1.65	38	77th
Shots	2.17	50	15th
Demos	0.52	12	6th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Premier
Points	337.0	#525 / 1213	#29 / 73
Goals	0.7	#550 / 1213	#32 / 73
Assists	0.35	#790 / 1213	#46 / 73
Saves	1.65	#146 / 1213	#12 / 73
Demos	0.52	#794 / 1213	#49 / 73

64% of the season is played (23 → ~36 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 (212 games across 5 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	7751	12132	12218	12218	12116 – 12321
Goals	16	25	25	26	21 – 30
Assists	8	13	13	14	10 – 17
Saves	38	59	59	58	52 – 66
Shots	50	78	80	81	72 – 89
Demos	12	19	21	18	17 – 26
MVPs	4	6	6	6	4 – 8

From 23 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	365.0
Avg boost	46.6
Boost stolen / game	527.7
% time at 0 boost	10.1%
Avg speed (uu/s)	1451.2
% supersonic	9.4%
% time high in air	5.2%
Avg distance to ball	2982.0
% time attacking third	19.2%
Demos / game	0.5
Demos taken / game	1.3
Shooting %	31.6%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S20	Master	7	1.0	0.29	1.29	362
S21	Master	30	0.83	0.5	1.27	364
S22	Master	22	0.55	0.59	1.32	385
S23	Elite	56	0.88	0.75	1.16	385
S24	Elite	64	0.89	0.86	1.5	373
S25	Master	40	0.85	0.65	1.5	402
S26	Premier	23	0.7	0.35	1.65	365

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	0.7	0.67	0.6 – 0.74
Assists/game	0.35	0.38	0.34 – 0.42
Saves/game	1.65	1.58	1.52 – 1.64
Shots/game	2.17	2.24	2.1 – 2.36

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
Escape_Plan1	S23	Veteran	0.7	0.4	1.64	0.52
Heca	S20	Veteran	0.58	0.33	1.67	0.82
dyl	S17	Challenger	0.6	0.3	1.6	0.82
Billionninja	S25	Rival	0.62	0.42	1.77	0.84
Cob	S13	Rival	0.7	0.4	1.4	0.89
K.	S20	Rival	0.79	0.42	1.47	0.91
mojomo	S23	Master	0.68	0.43	1.57	0.91
Cob	S23	Rival	0.57	0.48	1.6	0.92
Modoz	S17	Rival	0.76	0.38	1.52	0.97
cJax	S23	Rival	0.74	0.35	1.33	0.98

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.