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	415.7	12471	96th
Goals	1.3	39	89th
Assists	0.97	29	98th
Saves	0.7	21	30th
Shots	3.33	100	94th
Demos	0.6	18	38th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Amateur
Points	415.7	#87 / 1213	#2 / 61
Goals	1.3	#23 / 1213	#5 / 61
Assists	0.97	#32 / 1213	#1 / 61
Saves	0.7	#898 / 1213	#33 / 61
Demos	0.6	#737 / 1213	#29 / 61

69% of the season is played (30 → ~43 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	12471	17875	17541	17436 – 17647
Goals	39	56	54	49 – 60
Assists	29	42	40	35 – 45
Saves	21	30	31	26 – 35
Shots	100	143	140	130 – 149
Demos	18	26	26	22 – 30
MVPs	10	14	14	11 – 17

From 30 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	349.0
Avg boost	55.3
Boost stolen / game	377.6
% time at 0 boost	10.3%
Avg speed (uu/s)	1475.5
% supersonic	8.8%
% time high in air	3.3%
Avg distance to ball	2749.3
% time attacking third	23.8%
Demos / game	0.6
Demos taken / game	0.8
Shooting %	38.6%

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	1.3	1.17	1.07 – 1.3
Assists/game	0.97	0.87	0.77 – 0.94
Saves/game	0.7	0.92	0.75 – 1.0
Shots/game	3.33	3.19	2.91 – 3.33

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
Not Whispr	S14	Rival	1.33	0.92	0.92	1.39
RoseFanatic3615	S24	Challenger	1.32	0.82	0.85	1.48
NJ111_	S18	Challenger	1.17	0.83	1.0	1.50
Jito1017	S24	Amateur	1.3	0.75	0.75	1.52
Bender_Escobar	S17	Elite	1.12	1.12	0.62	1.58
i like bananas	S18	Rival	1.0	0.93	0.53	1.61
ttv. blestbb	S23	Veteran	1.17	0.79	1.1	1.62
VeryBadKittyCat	S22	Contender	1.0	1.1	0.98	1.66
Saucy Rexy	S20	Veteran	1.31	0.94	1.19	1.73
Heartlesswins	S22	Challenger	1.07	1.0	0.73	1.74

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.