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 Rival)

Stat	Per game	Total	Percentile in tier
Points	359.94	6479	65th
Goals	0.72	13	46th
Assists	0.61	11	66th
Saves	1.33	24	45th
Shots	2.72	49	65th
Demos	0.89	16	40th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	359.94	#342 / 1215	#47 / 164
Goals	0.72	#521 / 1215	#73 / 164
Assists	0.61	#318 / 1215	#43 / 164
Saves	1.33	#430 / 1215	#70 / 164
Demos	0.89	#522 / 1215	#79 / 164

56% of the season is played (18 → ~32 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 (115 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	6479	11518	11437	11437	11326 – 11549
Goals	13	23	23	23	18 – 28
Assists	11	20	19	20	15 – 24
Saves	24	43	43	42	36 – 50
Shots	49	87	86	84	76 – 96
Demos	16	28	29	26	23 – 35
MVPs	3	5	5	5	3 – 8

From 14 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	439.2
Avg boost	52.0
Boost stolen / game	465.0
% time at 0 boost	10.9%
Avg speed (uu/s)	1568.4
% supersonic	16.0%
% time high in air	5.8%
Avg distance to ball	2891.9
% time attacking third	18.1%
Demos / game	1.0
Demos taken / game	1.6
Shooting %	24.5%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Rival	63	0.7	0.43	1.54	405
S25	Rival	52	0.65	0.83	0.96	422
S26	Rival	14	0.57	0.57	1.43	439

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	0.57	0.66	0.56 – 0.69
Assists/game	0.57	0.58	0.5 – 0.62
Saves/game	1.43	1.47	1.37 – 1.53
Shots/game	2.29	2.25	2.13 – 2.32

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
BIGbadBULLMAN13	S18	Rival	0.58	0.5	1.33	0.81
Tall_28	S25	Rival	0.56	0.53	1.34	0.82
Virrexo	S17	Veteran	0.63	0.63	1.53	0.95
christophr	S23	Master	0.54	0.44	1.48	0.97
GreenLemon	S23	Rival	0.71	0.63	1.37	1.03
drubus	S20	Rival	0.55	0.6	1.45	1.08
Wafe	S23	Elite	0.5	0.5	1.29	1.14
Noriko	S19	Premier	0.78	0.44	1.44	1.15
MikeSplifff	S19	Veteran	0.62	0.62	1.62	1.15
Havox	S25	Veteran	0.69	0.53	1.34	1.16

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.