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	298.93	8968	26th
Goals	0.7	21	41st
Assists	0.43	13	29th
Saves	1.07	32	32nd
Shots	2.3	69	43rd
Demos	0.77	23	38th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	298.93	#761 / 1215	#98 / 161
Goals	0.7	#553 / 1215	#77 / 161
Assists	0.43	#682 / 1215	#94 / 161
Saves	1.07	#713 / 1215	#90 / 161
Demos	0.77	#621 / 1215	#81 / 161

60% of the season is played (30 → ~50 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 (80 games across 4 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	8968	14947	15080	15080	14956 – 15204
Goals	21	35	35	35	29 – 41
Assists	13	22	22	22	17 – 27
Saves	32	53	54	54	47 – 61
Shots	69	115	115	114	105 – 126
Demos	23	38	39	39	33 – 45
MVPs	2	3	4	4	2 – 6

From 26 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	311.9
Avg boost	53.7
Boost stolen / game	492.6
% time at 0 boost	8.8%
Avg speed (uu/s)	1442.0
% supersonic	9.2%
% time high in air	3.3%
Avg distance to ball	3112.1
% time attacking third	20.0%
Demos / game	0.7
Demos taken / game	0.9
Shooting %	31.1%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S21	Challenger	3	0.67	0.0	1.67	309
S22	Challenger	9	0.89	0.33	0.22	323
S23	Challenger	18	0.61	0.39	1.33	327
S24	Rival	13	0.62	0.46	1.23	314
S25	Challenger	40	0.6	0.5	1.45	286
S26	Prospect	26	0.65	0.42	1.12	312

Beyond RSC - lifetime & other play

Source	Games	Record	Win %	Score/g
Lifetime (all)	7427	2921-3235	47%	358
RSC (official)	63	16-36	31%	292
Non-RSC ranked 3v3	307	121-131	48%	288
Non-RSC other	7057	2784-3068	48%	362

From public ballchasing replays (score-based, so no goals/saves breakdown). Non-RSC play tracks a player's overall level well but not their standing within a tier — see the ratings notes. Only players with a Steam id and uploaded public games appear here.

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	0.65	0.68	0.63 – 0.73
Assists/game	0.42	0.46	0.4 – 0.5
Saves/game	1.11	1.13	1.06 – 1.23
Shots/game	2.42	2.35	2.23 – 2.46

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
Cynical89	S23	Prospect	0.63	0.44	1.09	0.72
seandfeeney	S25	Contender	0.68	0.41	1.18	0.72
Ofodo	S13	Challenger	0.62	0.38	1.15	0.78
Hanz Simmer	S24	Rival	0.81	0.45	1.14	0.81
D0pey killer	S24	Amateur	0.73	0.48	0.96	0.82
Chris.	S24	Rival	0.62	0.46	1.23	0.87
1999 Toyota Camry	S26	Challenger	0.54	0.46	1.17	0.88
vBoostedv	S26	Contender	0.72	0.38	0.88	0.93
Korrello	S25	Prospect	0.63	0.29	1.1	0.94
TunedUpTuck	S25	Challenger	0.62	0.52	1.38	0.95

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.