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	245.71	1720	8th
Goals	0.57	4	23rd
Assists	0.29	2	9th
Saves	0.57	4	2nd
Shots	1.86	13	15th
Demos	1.71	12	93rd

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	245.71	#897 / 1213	#123 / 161
Goals	0.57	#723 / 1213	#102 / 161
Assists	0.29	#847 / 1213	#119 / 161
Saves	0.57	#919 / 1213	#131 / 161
Demos	1.71	#93 / 1213	#9 / 161

60% of the season is played (7 → ~12 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 (88 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	1720	2949	3172	3172	3116 – 3229
Goals	4	7	7	8	5 – 10
Assists	2	3	4	4	2 – 6
Saves	4	7	9	9	5 – 12
Shots	13	22	24	23	19 – 28
Demos	12	21	18	20	15 – 22
MVPs	0	0	0	0	0 – 1

From 7 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	378.9
Avg boost	50.1
Boost stolen / game	512.9
% time at 0 boost	13.5%
Avg speed (uu/s)	1493.9
% supersonic	11.2%
% time high in air	3.2%
Avg distance to ball	2973.8
% time attacking third	23.6%
Demos / game	1.7
Demos taken / game	1.1
Shooting %	34.1%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Prospect	52	0.71	0.46	1.46	362
S25	Prospect	36	1.08	0.69	1.14	390
S26	Prospect	7	0.57	0.29	0.57	379

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	0.71	0.71	0.66 – 0.79
Assists/game	0.46	0.47	0.44 – 0.52
Saves/game	1.46	1.42	1.26 – 1.49
Shots/game	2.17	2.33	2.12 – 2.42

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
DonYvan	S23	Rival	0.75	0.46	1.42	0.66
pwapp	S25	Veteran	0.82	0.52	1.52	0.83
Lorak	S23	Challenger	0.63	0.52	1.5	0.85
Hype.56	S24	Challenger	0.66	0.49	1.46	0.88
dyl	S18	Challenger	0.67	0.56	1.22	0.92
sXCyBeast	S26	Amateur	0.62	0.54	1.54	0.94
BromzaTheOldMan	S23	Challenger	0.79	0.47	1.28	0.94
Shogun	S25	Challenger	0.57	0.57	1.49	0.94
Pure_Pusher	S25	Challenger	0.51	0.45	1.41	0.97
Thats Kaiser	S25	Rival	0.79	0.43	1.26	0.98

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.