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	366.23	4761	72nd
Goals	0.92	12	75th
Assists	1.23	16	98th
Saves	0.69	9	5th
Shots	2.08	27	26th
Demos	0.38	5	8th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	366.23	#297 / 1215	#37 / 161
Goals	0.92	#230 / 1215	#33 / 161
Assists	1.23	#5 / 1215	#3 / 161
Saves	0.69	#910 / 1215	#127 / 161
Demos	0.38	#884 / 1215	#123 / 161

60% of the season is played (13 → ~22 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 (46 games across 1 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	4761	8057	7935	7935	7849 – 8021
Goals	12	20	20	21	15 – 24
Assists	16	27	25	26	20 – 29
Saves	9	15	17	16	13 – 21
Shots	27	46	47	48	40 – 54
Demos	5	8	10	10	7 – 14
MVPs	1	2	2	2	1 – 3

From 13 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	375.8
Avg boost	55.6
Boost stolen / game	441.0
% time at 0 boost	12.4%
Avg speed (uu/s)	1524.6
% supersonic	11.4%
% time high in air	4.1%
Avg distance to ball	3051.3
% time attacking third	20.6%
Demos / game	0.4
Demos taken / game	0.5
Shooting %	44.8%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Contender	46	1.09	0.98	0.89	375
S26	Prospect	13	0.92	1.23	0.69	376

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	0.88	0.8 – 1.0
Assists/game	1.23	1.0	0.93 – 1.1
Saves/game	0.69	0.88	0.7 – 1.0
Shots/game	2.08	2.5	2.33 – 2.56

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
z2kay	S17	Rival	0.88	1.0	1.0	1.76
THOG	S19	Challenger	0.8	1.1	0.7	1.81
anth01	S21	Rival	0.88	1.0	0.88	1.84
AoS Arctic	S13	Challenger	1.0	1.38	1.0	1.89
holytrstn	S25	Contender	1.09	0.98	0.89	1.89
FattyMcChef04	S21	Amateur	0.81	1.0	0.69	1.89
Rmuru-	S21	Challenger	0.93	1.0	1.14	1.91
NotKyto	S14	Challenger	0.75	1.25	1.0	1.92
Wafe	S13	Elite	0.88	1.0	0.62	1.94
Schadenfreude-.	S20	Elite	0.88	1.0	0.62	1.95

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.