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 Elite)

Stat	Per game	Total	Percentile in tier
Points	445.83	13375	98th
Goals	1.1	33	91st
Assists	0.77	23	84th
Saves	1.43	43	55th
Shots	3.73	112	98th
Demos	1.13	34	64th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Elite
Points	445.83	#22 / 1213	#2 / 178
Goals	1.1	#99 / 1213	#12 / 178
Assists	0.77	#115 / 1213	#21 / 178
Saves	1.43	#323 / 1213	#58 / 178
Demos	1.13	#304 / 1213	#46 / 178

50% of the season is played (30 → ~60 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 (51 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	13375	26750	26185	26185	25991 – 26379
Goals	33	66	64	64	54 – 73
Assists	23	46	45	45	37 – 53
Saves	43	86	86	85	75 – 97
Shots	112	224	217	217	199 – 234
Demos	34	68	68	67	58 – 78
MVPs	10	20	19	19	14 – 24

From 31 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	463.4
Avg boost	55.3
Boost stolen / game	644.2
% time at 0 boost	12.3%
Avg speed (uu/s)	1623.2
% supersonic	25.0%
% time high in air	5.7%
Avg distance to ball	2745.2
% time attacking third	23.4%
Demos / game	1.1
Demos taken / game	0.9
Shooting %	30.7%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Elite	51	0.88	0.61	1.35	480
S26	Elite	31	1.06	0.74	1.39	463

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	1.06	1.04	0.92 – 1.13
Assists/game	0.74	0.68	0.61 – 0.8
Saves/game	1.39	1.47	1.34 – 1.56
Shots/game	3.61	3.08	2.98 – 3.33

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
hydrosin.	S26	Premier	1.25	0.54	1.58	1.42
Loyboy2	S21	Master	0.97	0.8	1.54	1.57
Chadley	S26	Master	1.04	0.75	1.36	1.58
Light_Wigglebean	S24	Elite	1.04	0.86	1.31	1.62
juan	S26	Elite	1.12	0.69	1.31	1.62
Roxy	S25	Premier	1.15	0.6	1.75	1.63
pxiruu	S24	Veteran	0.91	0.71	1.11	1.65
3W okeanoz	S23	Veteran	1.05	0.58	1.59	1.72
noah	S18	Elite	1.25	0.88	1.75	1.74
Velocheerio	S25	Elite	0.88	0.61	1.35	1.75

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.