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	493.5	5922	98th
Goals	1.42	17	98th
Assists	0.92	11	92nd
Saves	1.83	22	89th
Shots	3.5	42	95th
Demos	2.25	27	95th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Veteran
Points	493.5	#5 / 1213	#2 / 169
Goals	1.42	#12 / 1213	#2 / 169
Assists	0.92	#41 / 1213	#10 / 169
Saves	1.83	#60 / 1213	#13 / 169
Demos	2.25	#24 / 1213	#7 / 169

56% of the season is played (12 → ~21 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 (100 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	5922	10364	9856	9856	9759 – 9952
Goals	17	30	27	27	22 – 32
Assists	11	19	18	18	14 – 22
Saves	22	38	37	36	31 – 43
Shots	42	74	70	68	62 – 78
Demos	27	47	43	43	37 – 49
MVPs	7	12	11	11	8 – 14

From 12 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	396.4
Avg boost	49.5
Boost stolen / game	562.3
% time at 0 boost	11.7%
Avg speed (uu/s)	1541.5
% supersonic	15.4%
% time high in air	5.5%
Avg distance to ball	2816.8
% time attacking third	24.4%
Demos / game	2.2
Demos taken / game	0.6
Shooting %	43.5%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S20	Rival	9	0.89	0.89	1.44	351
S22	Rival	2	0.0	0.5	2.5	363
S23	Rival	24	1.08	0.38	1.08	320
S24	Veteran	29	0.59	0.45	1.48	323
S25	Veteran	38	0.66	0.66	1.34	375
S26	Veteran	12	1.42	0.92	1.83	396

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	1.42	1.22	1.08 – 1.33
Assists/game	0.92	0.75	0.67 – 0.85
Saves/game	1.83	1.54	1.46 – 1.7
Shots/game	3.5	3.46	3.19 – 3.75

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
Tide	S23	Premier	1.44	0.69	1.54	1.80
DoorTK	S20	Elite	1.29	0.67	1.54	1.97
rafiki	S25	Elite	1.12	0.85	1.48	2.03
maki	S20	Master	1.38	0.75	2.38	2.08
HardPointy	S21	Veteran	1.44	0.62	1.75	2.13
moose	S14	Veteran	1.14	0.71	1.43	2.17
Talent?	S23	Veteran	0.96	0.83	1.67	2.33
Whitlock7	S26	Premier	1.0	0.75	1.57	2.34
Yeetn-Skeet	S17	Veteran	1.33	0.67	1.17	2.37
Trickter02	S23	Veteran	1.33	0.61	1.94	2.42

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.