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 Master)

Stat	Per game	Total	Percentile in tier
Points	466.59	14931	99th
Goals	1.19	38	94th
Assists	0.84	27	92nd
Saves	1.56	50	67th
Shots	3.22	103	86th
Demos	1.44	46	67th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Master
Points	466.59	#9 / 1213	#1 / 107
Goals	1.19	#54 / 1213	#5 / 107
Assists	0.84	#68 / 1213	#6 / 107
Saves	1.56	#200 / 1213	#24 / 107
Demos	1.44	#168 / 1213	#25 / 107

60% of the season is played (32 → ~53 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 (13 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	14931	24729	24245	24245	24092 – 24398
Goals	38	63	61	61	53 – 69
Assists	27	45	43	43	37 – 50
Saves	50	83	82	82	73 – 91
Shots	103	171	168	164	155 – 180
Demos	46	76	75	75	67 – 84
MVPs	10	17	16	16	12 – 20

From 32 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	406.2
Avg boost	51.6
Boost stolen / game	642.1
% time at 0 boost	8.6%
Avg speed (uu/s)	1620.4
% supersonic	18.4%
% time high in air	6.4%
Avg distance to ball	2718.2
% time attacking third	22.8%
Demos / game	1.4
Demos taken / game	1.5
Shooting %	36.6%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S21	Master	13	0.92	0.46	1.46	374
S26	Master	32	1.19	0.84	1.56	406

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	1.19	1.05	1.0 – 1.11
Assists/game	0.84	0.8	0.75 – 0.83
Saves/game	1.56	1.5	1.34 – 1.64
Shots/game	3.22	3.09	2.91 – 3.27

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
ghosty	S17	Master	1.08	0.83	1.83	1.12
flash!	S24	Elite	1.0	0.98	1.62	1.14
Fanatic	S22	Elite	1.12	0.75	1.75	1.16
RL Rust	S24	Rival	0.98	0.81	1.34	1.24
Swishira	S22	Elite	1.33	0.83	1.67	1.26
Slvr.	S23	Elite	1.08	0.64	1.45	1.28
Dark Odst RW7	S25	Rival	1.0	0.91	1.3	1.33
kRs^^	S24	Master	1.02	0.75	1.3	1.34
LMAO Beer Me	S14	Veteran	1.0	0.75	1.5	1.37
tox	S22	Premier	1.06	0.76	1.24	1.39

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.