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	347.25	12501	62nd
Goals	0.64	23	36th
Assists	0.53	19	50th
Saves	1.28	46	57th
Shots	2.61	94	63rd
Demos	1.33	48	84th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	347.25	#447 / 1215	#51 / 161
Goals	0.64	#641 / 1215	#85 / 161
Assists	0.53	#488 / 1215	#66 / 161
Saves	1.28	#493 / 1215	#57 / 161
Demos	1.33	#203 / 1215	#19 / 161

60% of the season is played (36 → ~60 games). Projected (this season) blends the current rate with the tier average (regression to the mean). Projected (all data) instead regresses toward the player’s own career rate (136 games across 3 past seasons). Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	Projected (all data)	80% range
Points	12501	20835	20762	20762	20618 – 20907
Goals	23	38	39	38	32 – 45
Assists	19	32	32	32	26 – 37
Saves	46	77	76	75	68 – 85
Shots	94	157	156	156	143 – 168
Demos	48	80	78	78	69 – 87
MVPs	7	12	11	11	8 – 15

From 32 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	383.4
Avg boost	51.9
Boost stolen / game	727.1
% time at 0 boost	10.0%
Avg speed (uu/s)	1543.7
% supersonic	16.0%
% time high in air	4.3%
Avg distance to ball	3068.0
% time attacking third	23.1%
Demos / game	1.3
Demos taken / game	0.8
Shooting %	24.8%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S23	Challenger	35	0.6	0.4	1.17	396
S24	Challenger	57	0.6	0.6	0.98	388
S25	Challenger	44	0.64	0.66	0.96	380
S26	Prospect	32	0.66	0.56	1.22	383

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	0.66	0.68	0.66 – 0.73
Assists/game	0.56	0.56	0.53 – 0.6
Saves/game	1.22	1.25	1.18 – 1.29
Shots/game	2.62	2.53	2.46 – 2.59

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
.krs	S25	Premier	0.56	0.59	1.37	0.77
Drupenson	S23	Rival	0.76	0.52	1.17	0.80
Irozuh-	S23	Rival	0.62	0.6	1.21	0.81
CrowBar7570	S23	Rival	0.71	0.55	1.18	0.84
cjAstr0-	S22	Rival	0.78	0.56	1.33	0.86
gemini	S14	Master	0.75	0.5	1.25	0.86
Diamond ^.^	S23	Master	0.72	0.54	1.46	0.87
Skulzy	S25	Master	0.61	0.52	1.35	0.90
archhie.	S23	Veteran	0.73	0.54	1.25	0.92
AveX InceptionZ	S22	Challenger	0.57	0.57	1.25	0.93

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.