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	200.26	3805	6th
Goals	0.47	9	17th
Assists	0.26	5	17th
Saves	0.58	11	13th
Shots	1.0	19	6th
Demos	0.47	9	34th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Amateur
Points	200.26	#943 / 1215	#44 / 61
Goals	0.47	#828 / 1215	#39 / 61
Assists	0.26	#872 / 1215	#38 / 61
Saves	0.58	#931 / 1215	#41 / 61
Demos	0.47	#842 / 1215	#31 / 61

69% of the season is played (19 → ~27 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	3805	5407	5636	5573 – 5698
Goals	9	13	14	10 – 17
Assists	5	7	8	5 – 10
Saves	11	16	16	13 – 20
Shots	19	27	29	25 – 34
Demos	9	13	13	10 – 16
MVPs	0	0	0	0 – 1

From 19 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	240.6
Avg boost	54.3
Boost stolen / game	303.4
% time at 0 boost	6.2%
Avg speed (uu/s)	1336.2
% supersonic	6.3%
% time high in air	1.9%
Avg distance to ball	3379.3
% time attacking third	16.9%
Demos / game	0.5
Demos taken / game	0.8
Shooting %	55.1%

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	0.47	0.4	0.36 – 0.5
Assists/game	0.26	0.27	0.23 – 0.39
Saves/game	0.58	0.7	0.61 – 0.75
Shots/game	1.0	1.36	1.11 – 1.44

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
N0MrThomasMn	S22	Amateur	0.5	0.25	0.5	1.15
PitterPaddy	S19	Amateur	0.42	0.21	0.7	1.33
BinBoiz_	S22	Rival	0.38	0.44	0.62	1.34
Silk-Fu	S14	Amateur	0.39	0.11	0.61	1.38
CascaReborn	S18	Amateur	0.33	0.23	0.53	1.39
zag_42	S23	Amateur	0.23	0.38	0.62	1.40
maxf	S25	Contender	0.39	0.32	0.71	1.42
Godsfarm	S18	Amateur	0.32	0.4	0.92	1.51
Shootzy	S20	Amateur	0.44	0.22	1.0	1.51
zag_42	S22	Amateur	0.53	0.44	0.64	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.