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 Challenger)

Stat	Per game	Total	Percentile in tier
Points	415.31	13290	90th
Goals	1.12	36	87th
Assists	0.56	18	57th
Saves	1.5	48	73rd
Shots	2.88	92	77th
Demos	0.62	20	29th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	415.31	#88 / 1213	#13 / 166
Goals	1.12	#80 / 1213	#14 / 166
Assists	0.56	#420 / 1213	#56 / 166
Saves	1.5	#241 / 1213	#32 / 166
Demos	0.62	#718 / 1213	#92 / 166

60% of the season is played (32 → ~53 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	13290	22012	21701	21556 – 21846
Goals	36	60	58	51 – 66
Assists	18	30	30	24 – 35
Saves	48	80	79	70 – 87
Shots	92	152	151	139 – 163
Demos	20	33	35	29 – 41
MVPs	11	18	17	13 – 21

From 12 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	352.4
Avg boost	48.8
Boost stolen / game	410.1
% time at 0 boost	10.8%
Avg speed (uu/s)	1498.3
% supersonic	10.8%
% time high in air	6.2%
Avg distance to ball	2839.2
% time attacking third	20.1%
Demos / game	0.6
Demos taken / game	0.7
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	0.92	0.89	0.86 – 0.91
Assists/game	0.58	0.58	0.55 – 0.62
Saves/game	1.33	1.36	1.29 – 1.42
Shots/game	2.67	2.67	2.57 – 2.75

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
IlLuSiOnChAoS	S25	Prospect	0.87	0.64	1.36	0.55
JustABurgerGuy	S25	Veteran	0.89	0.57	1.32	0.59
Sim	S22	Master	0.9	0.55	1.5	0.59
noot	S25	Rival	0.87	0.58	1.53	0.72
Sly	S26	Challenger	0.79	0.61	1.32	0.79
JustLaben	S24	Veteran	0.9	0.58	1.35	0.79
JazzMagic.	S24	Rival	0.81	0.58	1.39	0.80
Absolutely TOR	S26	Veteran	0.78	0.59	1.19	0.80
Crimed0ge	S18	Rival	0.86	0.64	1.29	0.80
Yort	S22	Rival	1.0	0.62	1.38	0.81

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.