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	378.72	6817	85th
Goals	1.33	24	85th
Assists	0.44	8	55th
Saves	0.94	17	57th
Shots	2.72	49	87th
Demos	0.67	12	45th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Amateur
Points	378.72	#222 / 1215	#7 / 61
Goals	1.33	#19 / 1215	#5 / 61
Assists	0.44	#648 / 1215	#21 / 61
Saves	0.94	#812 / 1215	#19 / 61
Demos	0.67	#696 / 1215	#25 / 61

69% of the season is played (18 → ~26 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	6817	9847	9645	9567 – 9723
Goals	24	35	33	29 – 38
Assists	8	12	12	9 – 14
Saves	17	25	24	20 – 28
Shots	49	71	69	63 – 76
Demos	12	17	17	14 – 21
MVPs	6	9	8	6 – 10

From 18 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	259.3
Avg boost	54.6
Boost stolen / game	276.9
% time at 0 boost	8.3%
Avg speed (uu/s)	1378.3
% supersonic	8.2%
% time high in air	1.9%
Avg distance to ball	3187.1
% time attacking third	18.7%
Demos / game	0.7
Demos taken / game	0.6
Shooting %	46.2%

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	1.33	1.25	1.1 – 1.33
Assists/game	0.44	0.45	0.38 – 0.5
Saves/game	0.94	1.0	0.93 – 1.08
Shots/game	2.72	2.88	2.72 – 3.04

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
Yung_itsu	S19	Amateur	1.1	0.39	0.96	1.29
mushxie	S25	Amateur	1.34	0.45	1.14	1.32
M0ngO.	S14	Contender	1.5	0.5	1.12	1.37
MaChInImEr	S13	Amateur	1.25	0.38	1.0	1.45
K.Doughboy	S25	Challenger	1.11	0.44	0.78	1.48
MnTnD3WmE	S13	Prospect	1.25	0.38	1.0	1.51
Haro.-	S14	Amateur	1.06	0.37	1.17	1.55
FuDanSynder	S13	Contender	1.15	0.4	0.9	1.57
BannanaHero	S20	Veteran	1.38	0.5	1.0	1.58
DaTurquoisOrang	S14	Challenger	1.42	0.17	1.25	1.62

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.