Jayboaah

Contender - Cheese Pizza - 7-12 (0.368)
12 OVR
overall rating (0–100) · 19 games · how is this calculated?
Overall rating 12/100 Tier dominance: 62nd (+0.1 SD) Projects as: Contender Role: Striker
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.

MVPs
0
0% of games
Shot %
36%

Per-game production (percentile within Contender)

StatPer gameTotalPercentile in tier
Points 276.26 5249
20th
Goals 0.79 15
62nd
Assists 0.53 10
62nd
Saves 0.63 12
5th
Shots 2.21 42
44th
Demos 0.95 18
68th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Contender
Points276.26 #837 / 1215 #89 / 134
Goals0.79 #413 / 1215 #42 / 134
Assists0.53 #493 / 1215 #42 / 134
Saves0.63 #923 / 1215 #105 / 134
Demos0.95 #465 / 1215 #36 / 134

Season projection

Medium confidence

64% of the season is played (19 → ~30 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 (52 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 5249 8288 8421 8421 8335 – 8507
Goals 15 24 23 25 19 – 28
Assists 10 16 16 16 12 – 19
Saves 12 19 21 20 16 – 25
Shots 42 66 67 68 59 – 74
Demos 18 28 28 31 23 – 33
MVPs 0 0 0 0 0 – 2

Advanced stats (ballchasing)

Advanced OVR 28 /100

From 17 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 348.3
Avg boost 41.7
Boost stolen / game 489.4
% time at 0 boost 18.9%
Avg speed (uu/s) 1391.5
% supersonic 7.1%
% time high in air 2.1%
Avg distance to ball 3060.0
% time attacking third 24.8%
Demos / game 1.0
Demos taken / game 0.8
Shooting % 36.1%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S25Amateur52 1.020.620.81 322
S26Contender17 0.880.530.59 348

Beyond RSC - lifetime & other play

External skill estimate: ~34 OVR High confidence — inferred from 495 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 12.
SourceGames RecordWin % Score/g
Lifetime (all)1108467-360 56% 313
RSC (official)17183-43 66% 332
Non-RSC ranked 3v3495184-185 50% 280
Non-RSC other442200-132 60% 344

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)

Comparable-based outlook

High confidence

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.

StatThis seasonComparables medianTypical range
Goals/game0.88 0.87 0.77 – 0.92
Assists/game0.53 0.56 0.5 – 0.61
Saves/game0.59 0.81 0.68 – 0.88
Shots/game2.35 2.39 2.28 – 2.53

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.

PlayerSeasonTierGoals/gAssists/gSaves/gSimilarity
Rich-Rollin6060 S23Amateur 0.870.510.49 0.90
Rich-Rollin6060 S24Amateur 0.790.520.4 1.02
Rich-Rollin6060G S26Amateur 0.710.590.47 1.21
Tragic Event S18Rival 0.80.40.67 1.34
YERP_YERP02 S20Amateur 0.870.670.53 1.36
bernatra S14Amateur 0.760.610.94 1.40
GreatHonda S20Contender 0.890.440.72 1.44
Stale Popcorn S20Prospect 0.650.450.72 1.47
brillo_padd S20Prospect 0.770.610.84 1.48
Zachs Vibes S19Challenger 0.730.550.82 1.49

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.


Data source: live (rscna.com) - standings & schedule refresh hourly.