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 Amateur)

Stat	Per game	Total	Percentile in tier
Points	279.28	8099	45th
Goals	0.86	25	64th
Assists	0.59	17	77th
Saves	0.76	22	36th
Shots	2.0	58	45th
Demos	1.28	37	87th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Amateur
Points	279.28	#829 / 1215	#26 / 61
Goals	0.86	#299 / 1215	#17 / 61
Assists	0.59	#383 / 1215	#11 / 61
Saves	0.76	#891 / 1215	#30 / 61
Demos	1.28	#232 / 1215	#6 / 61

69% of the season is played (29 → ~42 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 (35 games across 1 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	8099	11730	11779	11779	11688 – 11869
Goals	25	36	36	35	31 – 41
Assists	17	25	24	23	20 – 28
Saves	22	32	32	34	27 – 37
Shots	58	84	84	81	77 – 92
Demos	37	54	52	51	46 – 58
MVPs	4	6	6	6	4 – 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	340.4
Avg boost	49.9
Boost stolen / game	406.4
% time at 0 boost	9.0%
Avg speed (uu/s)	1455.2
% supersonic	9.1%
% time high in air	1.8%
Avg distance to ball	3306.8
% time attacking third	20.7%
Demos / game	1.2
Demos taken / game	0.7
Shooting %	46.9%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Amateur	35	0.46	0.26	1.37	318
S26	Amateur	25	0.96	0.56	0.72	340

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	0.96	0.87	0.77 – 0.96
Assists/game	0.56	0.5	0.5 – 0.6
Saves/game	0.72	0.87	0.73 – 0.9
Shots/game	2.0	2.16	2.08 – 2.35

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
T Sant	S21	Rival	0.88	0.5	0.62	0.78
Crunch	S14	Veteran	0.92	0.58	0.67	1.02
Velo	S26	Rival	1.0	0.56	0.67	1.11
Ark7000	S19	Contender	1.0	0.56	0.89	1.26
ASAPxLEG	S26	Amateur	0.75	0.59	0.97	1.26
Sup3rm4n	S22	Contender	0.96	0.5	0.92	1.28
Versiaz	S23	Veteran	0.7	0.5	0.87	1.29
Whiffy_RL	S25	Rival	0.96	0.6	0.85	1.29
ProdiJoe	S26	Challenger	0.83	0.62	1.07	1.29
Wrychew	S18	Contender	1.18	0.55	0.91	1.30

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.