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	275.35	4681	40th
Goals	0.53	9	21st
Assists	0.71	12	91st
Saves	0.76	13	38th
Shots	2.12	36	55th
Demos	0.59	10	38th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Amateur
Points	275.35	#841 / 1215	#28 / 61
Goals	0.53	#780 / 1215	#37 / 61
Assists	0.71	#182 / 1215	#4 / 61
Saves	0.76	#890 / 1215	#29 / 61
Demos	0.59	#761 / 1215	#29 / 61

69% of the season is played (17 → ~25 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	4681	6884	6939	6869 – 7009
Goals	9	13	14	11 – 17
Assists	12	18	17	14 – 20
Saves	13	19	19	16 – 23
Shots	36	53	53	47 – 59
Demos	10	15	15	12 – 18
MVPs	1	1	2	1 – 3

From 15 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	275.6
Avg boost	51.7
Boost stolen / game	328.5
% time at 0 boost	11.1%
Avg speed (uu/s)	1312.4
% supersonic	4.6%
% time high in air	1.8%
Avg distance to ball	3000.9
% time attacking third	19.8%
Demos / game	0.6
Demos taken / game	1.0
Shooting %	28.4%

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	0.6	0.69	0.62 – 0.75
Assists/game	0.8	0.62	0.56 – 0.69
Saves/game	0.8	0.97	0.88 – 1.04
Shots/game	2.2	2.2	2.0 – 2.37

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
Lunar2nd	S25	Amateur	0.63	0.63	0.68	0.94
mushxie	S22	Amateur	0.6	0.74	0.97	1.00
MrAnderpants	S21	Amateur	0.75	0.67	1.0	1.26
Juxties	S21	Prospect	0.69	0.62	1.0	1.28
Goum	S24	Rival	0.46	0.77	1.0	1.40
stealthman777	S14	Rival	0.5	0.83	1.17	1.43
The-Manimal	S22	Amateur	0.69	0.56	0.82	1.45
NoBo_ostNaga	S18	Amateur	0.82	0.65	0.72	1.57
Redline	S26	Prospect	0.78	0.78	0.78	1.57
Redline	S22	Challenger	0.62	0.75	1.04	1.58

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.