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 Prospect)

Stat	Per game	Total	Percentile in tier
Points	374.3	12352	78th
Goals	0.94	31	78th
Assists	0.73	24	84th
Saves	1.33	44	62nd
Shots	2.7	89	71st
Demos	0.7	23	35th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	374.3	#250 / 1215	#29 / 161
Goals	0.94	#209 / 1215	#29 / 161
Assists	0.73	#158 / 1215	#20 / 161
Saves	1.33	#430 / 1215	#46 / 161
Demos	0.7	#680 / 1215	#86 / 161

60% of the season is played (33 → ~55 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	12352	20587	20399	20257 – 20542
Goals	31	52	51	44 – 58
Assists	24	40	39	33 – 45
Saves	44	73	73	64 – 81
Shots	89	148	147	135 – 159
Demos	23	38	39	33 – 46
MVPs	8	13	13	9 – 16

From 29 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	405.9
Avg boost	47.1
Boost stolen / game	463.8
% time at 0 boost	13.6%
Avg speed (uu/s)	1504.9
% supersonic	12.4%
% time high in air	3.8%
Avg distance to ball	2849.7
% time attacking third	20.0%
Demos / game	0.8
Demos taken / game	0.7
Shooting %	31.8%

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	0.9	0.86	0.81 – 0.93
Assists/game	0.62	0.62	0.57 – 0.69
Saves/game	1.41	1.45	1.33 – 1.53
Shots/game	2.65	2.73	2.54 – 2.81

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
AlphaChuck	S26	Elite	0.93	0.64	1.25	0.76
Chaddy	S25	Rival	0.88	0.56	1.58	0.76
Ninji <3	S23	Challenger	0.93	0.66	1.38	0.78
bbfreshxi	S26	Veteran	0.86	0.61	1.21	0.86
KING.	S23	Elite	0.73	0.62	1.29	0.87
Pooka2854	S18	Rival	0.82	0.73	1.54	0.90
CagiestSafe6	S24	Challenger	1.09	0.58	1.46	0.94
PayloSoul	S22	Master	0.9	0.57	1.6	0.97
Dusk	S26	Prospect	0.75	0.62	1.38	0.98
NoobZ	S26	Veteran	0.88	0.72	1.44	0.98

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.