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	392.38	11379	84th
Goals	0.72	21	40th
Assists	0.62	18	60th
Saves	1.66	48	79th
Shots	2.9	84	69th
Demos	1.1	32	59th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Veteran
Points	392.38	#154 / 1213	#21 / 169
Goals	0.72	#506 / 1213	#80 / 169
Assists	0.62	#315 / 1213	#52 / 169
Saves	1.66	#143 / 1213	#28 / 169
Demos	1.1	#326 / 1213	#54 / 169

56% of the season is played (29 → ~52 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 (76 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	11379	20404	20205	20205	20052 – 20358
Goals	21	38	38	38	31 – 45
Assists	18	32	32	31	26 – 38
Saves	48	86	85	85	75 – 95
Shots	84	151	149	147	136 – 162
Demos	32	57	57	57	49 – 66
MVPs	10	18	17	17	13 – 21

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	471.6
Avg boost	47.5
Boost stolen / game	524.7
% time at 0 boost	12.4%
Avg speed (uu/s)	1648.2
% supersonic	21.7%
% time high in air	5.6%
Avg distance to ball	2835.5
% time attacking third	21.7%
Demos / game	1.0
Demos taken / game	0.8
Shooting %	36.3%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Veteran	23	0.35	0.3	1.39	450
S25	Rival	53	0.94	0.51	1.49	444
S26	Veteran	29	0.72	0.62	1.66	463

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	0.72	0.77	0.68 – 0.9
Assists/game	0.62	0.59	0.52 – 0.64
Saves/game	1.66	1.63	1.5 – 1.81
Shots/game	2.9	2.83	2.67 – 3.0

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
C-Loupe	S25	Master	0.73	0.56	1.67	0.55
donald.	S24	Elite	0.83	0.58	1.58	0.97
Jimbo	S26	Master	0.78	0.59	1.5	0.98
Fused Gavin	S25	Elite	0.77	0.64	1.81	1.04
FIN0oo	S21	Master	0.8	0.56	1.48	1.12
Seth	S23	Elite	0.65	0.5	1.5	1.12
Kyurmex.	S22	Master	0.83	0.72	1.63	1.13
CantaloupeL0VER	S23	Elite	0.93	0.7	1.73	1.17
Jolt	S25	Elite	0.81	0.52	1.62	1.19
Jolt	S26	Elite	0.78	0.53	1.44	1.20

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.