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	366.12	11716	63rd
Goals	0.75	24	46th
Assists	0.88	28	94th
Saves	1.31	42	37th
Shots	2.19	70	19th
Demos	0.97	31	29th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Premier
Points	366.12	#301 / 1213	#19 / 73
Goals	0.75	#443 / 1213	#22 / 73
Assists	0.88	#51 / 1213	#3 / 73
Saves	1.31	#457 / 1213	#33 / 73
Demos	0.97	#437 / 1213	#37 / 73

64% of the season is played (32 → ~50 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 (156 games across 4 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	11716	18306	18294	18294	18169 – 18419
Goals	24	38	38	37	32 – 43
Assists	28	44	43	42	37 – 49
Saves	42	66	66	66	58 – 74
Shots	70	109	111	110	101 – 121
Demos	31	48	50	48	43 – 56
MVPs	9	14	14	14	10 – 17

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	439.8
Avg boost	47.8
Boost stolen / game	577.5
% time at 0 boost	15.1%
Avg speed (uu/s)	1554.8
% supersonic	17.3%
% time high in air	6.0%
Avg distance to ball	2741.8
% time attacking third	20.3%
Demos / game	1.0
Demos taken / game	1.0
Shooting %	35.3%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S22	Premier	19	1.05	0.68	1.1	407
S23	Premier	56	0.57	0.46	1.62	400
S24	Premier	25	0.84	0.72	1.56	415
S25	Premier	56	0.68	0.59	1.38	432
S26	Premier	32	0.75	0.88	1.31	440

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	0.75	0.73	0.65 – 0.79
Assists/game	0.88	0.76	0.68 – 0.81
Saves/game	1.31	1.32	1.25 – 1.4
Shots/game	2.19	2.32	2.12 – 2.6

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
ThatHomieGage	S25	Prospect	0.74	0.8	1.49	1.05
Taiga	S26	Elite	0.6	0.7	1.4	1.20
relax	S14	Master	0.8	0.9	1.3	1.23
Noriko	S24	Premier	0.86	0.81	1.52	1.25
swazy.	S13	Premier	0.8	1.0	1.33	1.28
bustt.	S25	Master	0.79	0.79	1.32	1.31
ASHES.	S20	Premier	0.5	0.92	1.42	1.33
Ay G.	S19	Elite	0.69	0.81	1.12	1.35
Rayinator.	S21	Elite	0.75	0.75	1.12	1.36
Des.	S20	Rival	0.75	0.67	1.17	1.37

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.