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	302.3	6046	55th
Goals	0.7	14	45th
Assists	0.4	8	43rd
Saves	0.75	15	34th
Shots	2.1	42	51st
Demos	0.15	3	13th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Amateur
Points	302.3	#739 / 1215	#21 / 61
Goals	0.7	#553 / 1215	#26 / 61
Assists	0.4	#725 / 1215	#26 / 61
Saves	0.75	#892 / 1215	#31 / 61
Demos	0.15	#932 / 1215	#41 / 61

69% of the season is played (20 → ~29 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	6046	8767	8752	8676 – 8829
Goals	14	20	21	17 – 24
Assists	8	12	12	9 – 15
Saves	15	22	22	18 – 26
Shots	42	61	61	54 – 67
Demos	3	4	6	3 – 8
MVPs	1	1	2	1 – 3

From 20 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	407.2
Avg boost	46.8
Boost stolen / game	438.4
% time at 0 boost	21.3%
Avg speed (uu/s)	1485.1
% supersonic	10.5%
% time high in air	2.7%
Avg distance to ball	2843.0
% time attacking third	20.3%
Demos / game	0.2
Demos taken / game	0.8
Shooting %	34.3%

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	0.7	0.75	0.65 – 0.78
Assists/game	0.4	0.46	0.4 – 0.5
Saves/game	0.75	0.9	0.76 – 1.0
Shots/game	2.1	2.18	2.04 – 2.42

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
PumPum	S22	Veteran	0.5	0.5	0.62	1.16
Ko Nanakusa	S26	Prospect	0.86	0.43	1.0	1.16
Dirt D Dan	S23	Veteran	0.64	0.39	0.9	1.40
Cujo_SZN	S18	Challenger	0.83	0.42	0.67	1.42
nickm	S14	Veteran	0.62	0.5	1.0	1.46
XxExGENxX	S21	Contender	0.76	0.48	1.09	1.47
RaymondPart1	S13	Challenger	0.88	0.5	0.75	1.47
llToxic_Dripll	S18	Amateur	0.76	0.6	0.76	1.50
MedicMac121	S25	Amateur	0.69	0.51	0.76	1.52
Turtle_Supreme	S22	Rival	0.6	0.4	1.0	1.54

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.