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 Rival)

Stat	Per game	Total	Percentile in tier
Points	422.18	11821	92nd
Goals	1.11	31	89th
Assists	0.75	21	86th
Saves	1.46	41	68th
Shots	3.04	85	85th
Demos	0.96	27	53rd

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Rival
Points	422.18	#72 / 1213	#10 / 164
Goals	1.11	#94 / 1213	#15 / 164
Assists	0.75	#119 / 1213	#15 / 164
Saves	1.46	#299 / 1213	#42 / 164
Demos	0.96	#449 / 1213	#62 / 164

56% of the season is played (28 → ~50 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	11821	21109	20724	20570 – 20877
Goals	31	55	54	46 – 61
Assists	21	38	36	30 – 43
Saves	41	73	73	63 – 82
Shots	85	152	149	136 – 162
Demos	27	48	49	41 – 56
MVPs	7	12	12	8 – 16

From 28 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	331.9
Avg boost	54.0
Boost stolen / game	470.3
% time at 0 boost	6.3%
Avg speed (uu/s)	1516.7
% supersonic	8.7%
% time high in air	3.5%
Avg distance to ball	2893.0
% time attacking third	20.0%
Demos / game	1.0
Demos taken / game	1.1
Shooting %	39.9%

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	1.11	1.0	0.97 – 1.1
Assists/game	0.75	0.73	0.65 – 0.79
Saves/game	1.46	1.36	1.29 – 1.45
Shots/game	3.04	2.96	2.75 – 3.12

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
Mangy	S22	Challenger	0.96	0.64	1.46	0.97
Dooober	S20	Elite	1.12	0.75	1.38	1.03
ShoddyWolfman	S24	Rival	1.06	0.73	1.27	1.16
BaldManStreamer	S21	Veteran	1.0	0.79	1.32	1.22
BromzaTheOldMan	S22	Prospect	1.12	0.62	1.44	1.22
Yort	S22	Rival	1.0	0.62	1.38	1.22
Sky	S20	Rival	1.04	0.63	1.33	1.27
1ssh1	S19	Veteran	0.83	0.83	1.33	1.31
Pizza Flavored	S25	Prospect	1.0	0.85	1.47	1.31
HaZard	S26	Elite	0.94	0.75	1.75	1.31

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.