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 Veteran)

Stat	Per game	Total	Percentile in tier
Points	237.86	3330	4th
Goals	0.21	3	1st
Assists	0.36	5	10th
Saves	1.07	15	16th
Shots	1.36	19	1st
Demos	0.93	13	45th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Veteran
Points	237.86	#919 / 1215	#131 / 170
Goals	0.21	#927 / 1215	#135 / 170
Assists	0.36	#793 / 1215	#122 / 170
Saves	1.07	#709 / 1215	#114 / 170
Demos	0.93	#483 / 1215	#75 / 170

56% of the season is played (14 → ~25 games). Projected (this season) blends the current rate with the tier average (regression to the mean). . Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	80% range
Points	3330	5946	6411	6324 – 6498
Goals	3	5	8	4 – 11
Assists	5	9	10	6 – 13
Saves	15	27	28	22 – 34
Shots	19	34	39	32 – 46
Demos	13	23	24	19 – 29
MVPs	0	0	1	0 – 2

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	360.2
Avg boost	49.5
Boost stolen / game	453.1
% time at 0 boost	16.8%
Avg speed (uu/s)	1375.6
% supersonic	9.8%
% time high in air	3.7%
Avg distance to ball	2855.7
% time attacking third	16.2%
Demos / game	0.9
Demos taken / game	1.4
Shooting %	10.5%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S22	Veteran	4	1.5	0.5	1.25	355
S26	Veteran	14	0.21	0.36	1.07	360

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	0.21	0.42	0.27 – 0.46
Assists/game	0.36	0.31	0.26 – 0.42
Saves/game	1.07	1.14	1.0 – 1.22
Shots/game	1.36	1.39	1.27 – 1.61

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
TTV/DucksNotKeys	S26	Amateur	0.44	0.33	1.0	1.06
mogulmaniac5480	S22	Rival	0.38	0.38	1.25	1.24
MeOnDisplay	S19	Prospect	0.27	0.27	1.0	1.31
EngynGameOver	S24	Amateur	0.38	0.38	1.29	1.32
S3EZ	S20	Challenger	0.44	0.44	1.06	1.34
Pulsa4r	S26	Contender	0.43	0.43	1.1	1.43
NitemareRL	S25	Prospect	0.25	0.2	1.4	1.47
Dunnie14	S25	Veteran	0.22	0.22	1.22	1.48
waynswrld	S25	Prospect	0.21	0.42	1.37	1.49
SailingSteven	S13	Amateur	0.44	0.22	0.87	1.51

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.