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	351.42	4217	63rd
Goals	0.58	7	26th
Assists	0.83	10	92nd
Saves	1.67	20	92nd
Shots	2.17	26	35th
Demos	0.17	2	2nd

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	351.42	#409 / 1213	#49 / 161
Goals	0.58	#707 / 1213	#98 / 161
Assists	0.83	#71 / 1213	#9 / 161
Saves	1.67	#131 / 1213	#10 / 161
Demos	0.17	#921 / 1213	#130 / 161

60% of the season is played (12 → ~20 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 (39 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	4217	7028	6959	6959	6879 – 7038
Goals	7	12	12	13	9 – 16
Assists	10	17	16	15	12 – 19
Saves	20	33	32	29	27 – 37
Shots	26	43	44	44	38 – 50
Demos	2	3	6	6	3 – 9
MVPs	0	0	0	0	0 – 2

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	376.9
Avg boost	51.1
Boost stolen / game	364.8
% time at 0 boost	10.9%
Avg speed (uu/s)	1479.7
% supersonic	10.6%
% time high in air	4.0%
Avg distance to ball	2989.4
% time attacking third	17.9%
Demos / game	0.2
Demos taken / game	1.2
Shooting %	32.0%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Prospect	39	0.8	0.41	0.69	386
S26	Prospect	12	0.58	0.83	1.67	377

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	0.58	0.62	0.58 – 0.67
Assists/game	0.83	0.75	0.69 – 0.81
Saves/game	1.67	1.5	1.41 – 1.64
Shots/game	2.17	2.33	2.13 – 2.4

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
AoS Arctic	S17	Veteran	0.5	0.75	1.38	1.09
Xero	S17	Master	0.7	0.8	1.7	1.30
Barra	S20	Elite	0.75	0.69	1.69	1.32
Braybaum02	S23	Veteran	0.66	0.75	1.51	1.36
Viiper	S25	Master	0.58	0.76	1.47	1.39
imakuu	S26	Elite	0.77	0.77	1.69	1.43
Bolts	S17	Veteran	0.67	0.87	1.53	1.43
Mezmer	S25	Master	0.59	0.78	1.46	1.51
Faolaen	S21	Veteran	0.5	0.67	1.58	1.54
TheCroctopusTV	S14	Rival	0.62	0.88	1.38	1.54

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.