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	407.88	10197	91st
Goals	1.24	31	96th
Assists	0.4	10	18th
Saves	1.56	39	73rd
Shots	2.92	73	73rd
Demos	1.48	37	80th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Veteran
Points	407.88	#104 / 1213	#12 / 169
Goals	1.24	#46 / 1213	#5 / 169
Assists	0.4	#710 / 1213	#107 / 169
Saves	1.56	#207 / 1213	#36 / 169
Demos	1.48	#152 / 1213	#26 / 169

56% of the season is played (25 → ~44 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 (39 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	10197	17947	17691	17691	17552 – 17830
Goals	31	55	52	53	45 – 60
Assists	10	18	18	18	14 – 23
Saves	39	69	68	69	59 – 76
Shots	73	128	127	132	115 – 139
Demos	37	65	63	62	55 – 72
MVPs	3	5	5	5	3 – 8

From 25 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	438.4
Avg boost	52.5
Boost stolen / game	502.2
% time at 0 boost	9.7%
Avg speed (uu/s)	1563.4
% supersonic	15.9%
% time high in air	4.9%
Avg distance to ball	2658.3
% time attacking third	20.4%
Demos / game	1.5
Demos taken / game	1.6
Shooting %	44.4%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Veteran	12	0.92	0.5	1.67	463
S25	Veteran	27	1.11	0.52	1.63	462
S26	Veteran	25	1.24	0.4	1.56	438

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	1.11	1.14	1.08 – 1.21
Assists/game	0.52	0.54	0.48 – 0.62
Saves/game	1.63	1.5	1.41 – 1.63
Shots/game	3.81	3.52	3.42 – 3.7

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
not so jucy skep	S23	Elite	0.92	0.45	1.61	1.16
Kyurmex.	S19	Elite	1.25	0.42	1.58	1.23
Tide	S21	Premier	1.12	0.38	1.88	1.31
gxcid	S24	Rival	0.94	0.54	1.61	1.32
surreal	S25	Premier	1.16	0.68	1.82	1.39
solar722	S24	Master	0.85	0.44	1.56	1.46
ThyChad_	S20	Elite	1.25	0.62	1.67	1.49
Tuhlur.	S22	Veteran	1.02	0.57	1.27	1.51
nave	S21	Master	1.21	0.54	1.42	1.55
Foam	S26	Master	1.0	0.31	1.47	1.55

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.