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 Contender)

Stat	Per game	Total	Percentile in tier
Points	408.48	12663	92nd
Goals	1.26	39	95th
Assists	0.42	13	33rd
Saves	1.45	45	80th
Shots	3.03	94	90th
Demos	1.1	34	80th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Contender
Points	408.48	#100 / 1213	#9 / 134
Goals	1.26	#35 / 1213	#5 / 134
Assists	0.42	#685 / 1213	#74 / 134
Saves	1.45	#310 / 1213	#22 / 134
Demos	1.1	#332 / 1213	#22 / 134

64% of the season is played (31 → ~48 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	12663	19607	19286	19161 – 19411
Goals	39	60	58	52 – 65
Assists	13	20	20	16 – 25
Saves	45	70	69	61 – 76
Shots	94	146	143	132 – 154
Demos	34	53	52	45 – 58
MVPs	9	14	13	10 – 17

From 31 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	341.9
Avg boost	49.8
Boost stolen / game	400.0
% time at 0 boost	9.0%
Avg speed (uu/s)	1466.8
% supersonic	9.5%
% time high in air	1.5%
Avg distance to ball	3047.9
% time attacking third	19.7%
Demos / game	1.1
Demos taken / game	1.0
Shooting %	42.3%

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	1.26	1.13	1.04 – 1.25
Assists/game	0.42	0.46	0.42 – 0.5
Saves/game	1.45	1.44	1.36 – 1.5
Shots/game	3.03	2.89	2.75 – 3.07

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
Butlight_guy	S19	Challenger	1.36	0.46	1.36	0.88
Mangy	S20	Prospect	1.11	0.48	1.56	0.94
TheexGrizz	S20	Prospect	1.17	0.5	1.3	0.97
Washyman111670	S22	Contender	1.17	0.54	1.46	1.06
leaf.	S26	Rival	1.04	0.42	1.5	1.06
Bushier Brow	S20	Rival	1.07	0.36	1.5	1.07
Canadian Things	S22	Elite	1.25	0.25	1.38	1.12
LoneDrifter.	S22	Prospect	1.42	0.42	1.42	1.14
BromzaTheOldMan	S22	Prospect	1.12	0.62	1.44	1.16
Alan	S25	Challenger	1.13	0.39	1.39	1.17

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.

---

Data source: live (rscna.com) - standings & schedule refresh hourly.