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	454.17	2725	98th
Goals	1.17	7	95th
Assists	0.67	4	75th
Saves	2.0	12	97th
Shots	2.5	15	53rd
Demos	0.17	1	2nd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	454.17	#17 / 1215	#2 / 161
Goals	1.17	#53 / 1215	#7 / 161
Assists	0.67	#229 / 1215	#28 / 161
Saves	2.0	#24 / 1215	#3 / 161
Demos	0.17	#930 / 1215	#131 / 161

60% of the season is played (6 → ~10 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 (22 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	2725	4542	4259	4259	4202 – 4316
Goals	7	12	11	10	8 – 13
Assists	4	7	6	6	4 – 9
Saves	12	20	18	17	15 – 22
Shots	15	25	25	24	20 – 29
Demos	1	2	3	3	1 – 6
MVPs	2	3	3	3	2 – 4

From 6 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	328.1
Avg boost	47.8
Boost stolen / game	415.2
% time at 0 boost	11.5%
Avg speed (uu/s)	1404.3
% supersonic	7.7%
% time high in air	4.2%
Avg distance to ball	3253.4
% time attacking third	20.3%
Demos / game	0.2
Demos taken / game	0.5
Shooting %	47.3%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Prospect	22	0.73	0.32	1.0	315
S26	Prospect	6	1.17	0.67	2.0	328

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	0.73	0.71	0.64 – 0.81
Assists/game	0.32	0.38	0.31 – 0.42
Saves/game	1.0	1.04	0.98 – 1.15
Shots/game	2.23	2.15	2.04 – 2.31

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
Auty RL	S24	Challenger	0.83	0.4	0.98	0.74
Brillo_padd	S24	Challenger	0.76	0.36	0.76	0.86
Brillo_padd	S26	Prospect	0.75	0.25	1.0	0.88
DrSkimMilk	S22	Veteran	0.62	0.29	1.08	0.88
ShiftDrink	S23	Challenger	0.58	0.31	1.04	0.92
The_Killerwon	S25	Rival	0.82	0.43	0.88	0.93
Primed	S22	Challenger	0.56	0.3	1.0	0.95
Vortex3524	S24	Rival	0.8	0.29	1.18	0.97
tterb86	S14	Veteran	0.67	0.42	1.17	0.99
Deifik	S17	Challenger	0.82	0.27	1.0	1.01

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.