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	366.67	8800	70th
Goals	1.0	24	77th
Assists	0.92	22	96th
Saves	0.92	22	9th
Shots	2.83	68	75th
Demos	0.83	20	36th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Rival
Points	366.67	#295 / 1213	#40 / 164
Goals	1.0	#139 / 1213	#20 / 164
Assists	0.92	#41 / 1213	#5 / 164
Saves	0.92	#826 / 1213	#121 / 164
Demos	0.83	#557 / 1213	#85 / 164

56% of the season is played (24 → ~43 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 (75 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	8800	15767	15656	15656	15522 – 15790
Goals	24	43	42	41	35 – 49
Assists	22	39	38	38	31 – 44
Saves	22	39	41	39	34 – 49
Shots	68	122	120	118	109 – 132
Demos	20	36	37	36	30 – 44
MVPs	3	5	6	6	3 – 8

From 24 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	443.1
Avg boost	49.8
Boost stolen / game	529.2
% time at 0 boost	14.4%
Avg speed (uu/s)	1585.3
% supersonic	15.5%
% time high in air	5.3%
Avg distance to ball	3092.6
% time attacking third	21.6%
Demos / game	0.8
Demos taken / game	0.7
Shooting %	35.2%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Veteran	20	0.45	0.4	0.95	419
S25	Rival	55	0.76	0.71	0.91	410
S26	Rival	24	1.0	0.92	0.92	443

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	1.0	0.93	0.85 – 1.0
Assists/game	0.92	0.83	0.73 – 0.88
Saves/game	0.92	1.0	0.82 – 1.2
Shots/game	2.83	2.73	2.62 – 2.89

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
AvgJoeyB-	S20	Master	0.92	0.83	0.92	0.98
Kylau	S20	Premier	1.0	0.88	0.88	1.16
ttv.ericandersxn	S26	Rival	0.88	1.0	0.94	1.17
Shanerbaner	S14	Master	1.0	0.88	1.25	1.18
Quazzaa	S26	Challenger	0.93	0.77	1.2	1.23
alexis bexas	S22	Master	0.93	0.77	1.09	1.31
Monster.	S22	Premier	0.96	0.88	1.2	1.35
NotLuke9	S26	Elite	0.84	0.88	1.0	1.47
Mini Magoo	S13	Rival	0.89	1.0	0.78	1.49
Wafe	S13	Elite	0.88	1.0	0.62	1.54

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.