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	315.5	10096	38th
Goals	0.62	20	30th
Assists	0.69	22	82nd
Saves	1.16	37	45th
Shots	2.19	70	33rd
Demos	0.97	31	58th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	315.5	#673 / 1215	#82 / 161
Goals	0.62	#660 / 1215	#91 / 161
Assists	0.69	#203 / 1215	#24 / 161
Saves	1.16	#626 / 1215	#73 / 161
Demos	0.97	#451 / 1215	#56 / 161

60% of the season is played (32 → ~53 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 (55 games across 2 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	10096	16722	16785	16785	16655 – 16914
Goals	20	33	34	33	28 – 39
Assists	22	36	36	35	30 – 42
Saves	37	61	62	61	54 – 69
Shots	70	116	117	113	106 – 128
Demos	31	51	51	52	44 – 58
MVPs	4	7	7	7	4 – 9

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	386.4
Avg boost	51.3
Boost stolen / game	526.3
% time at 0 boost	13.7%
Avg speed (uu/s)	1448.9
% supersonic	9.5%
% time high in air	4.0%
Avg distance to ball	3057.0
% time attacking third	20.5%
Demos / game	1.0
Demos taken / game	0.9
Shooting %	30.4%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Challenger	32	0.56	0.44	1.25	363
S25	Challenger	23	0.7	0.48	1.04	355
S26	Prospect	28	0.68	0.64	1.11	386

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	0.68	0.7	0.67 – 0.77
Assists/game	0.64	0.58	0.56 – 0.65
Saves/game	1.11	1.11	1.07 – 1.22
Shots/game	2.32	2.35	2.24 – 2.5

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
DonkeyPancakes2	S24	Rival	0.64	0.58	1.09	0.59
StruttRL	S25	Prospect	0.68	0.57	1.2	0.60
Jaybeauh	S26	Veteran	0.8	0.6	1.1	0.77
Scomps	S25	Challenger	0.69	0.57	1.09	0.92
ProdiJoe	S26	Challenger	0.83	0.62	1.07	0.95
GFC-RAIDER	S25	Challenger	0.75	0.56	1.19	0.95
IlLuSiOnChAoS	S19	Contender	0.67	0.67	1.08	0.96
Moist_Games	S25	Prospect	0.75	0.78	1.15	0.98
Metatonixz	S22	Veteran	0.7	0.57	1.11	1.00
GFC-RAIDER	S26	Prospect	0.78	0.59	1.06	1.00

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.