Jonezy

Veteran - Makos - 22-14 (0.611)
67 OVR
overall rating (0–100) · 36 games · how is this calculated?
Overall rating 67/100 Tier dominance: 58th (+0.1 SD) Projects as: Veteran Role: Playmaker
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
5
14% of games
Shot %
23%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 348.94 12562
47th
Goals 0.58 21
20th
Assists 0.75 27
83rd
Saves 1.5 54
61st
Shots 2.56 92
45th
Demos 1.28 46
68th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points348.94 #432 / 1215 #72 / 170
Goals0.58 #719 / 1215 #108 / 170
Assists0.75 #116 / 1215 #21 / 170
Saves1.5 #240 / 1215 #47 / 170
Demos1.28 #230 / 1215 #43 / 170

Season projection

Medium confidence

56% of the season is played (36 → ~64 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 (14 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 12562 22332 22358 22358 22196 – 22521
Goals 21 37 38 42 31 – 45
Assists 27 48 47 47 40 – 55
Saves 54 96 95 97 85 – 106
Shots 92 164 164 168 150 – 178
Demos 46 82 81 80 71 – 90
MVPs 5 9 9 9 6 – 12

Advanced stats (ballchasing)

Advanced OVR 49 /100

From 32 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 391.6
Avg boost 50.5
Boost stolen / game 621.9
% time at 0 boost 7.9%
Avg speed (uu/s) 1554.8
% supersonic 12.5%
% time high in air 3.8%
Avg distance to ball 2730.0
% time attacking third 22.7%
Demos / game 1.2
Demos taken / game 1.0
Shooting % 21.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Veteran4 2.01.00.75 385
S21Veteran4 0.50.50.5 379
S24Veteran14 1.210.571.64 404
S26Veteran32 0.620.691.41 392

Beyond RSC - lifetime & other play

External skill estimate: ~64 OVR Low confidence — inferred from 39 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 67.
SourceGames RecordWin % Score/g
Lifetime (all)1273515-498 51% 367
RSC (official)30-1 0% 297
Non-RSC ranked 3v3396-25 19% 327
Non-RSC other1231509-472 52% 369

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/game0.62 0.67 0.6 – 0.69
Assists/game0.69 0.67 0.61 – 0.7
Saves/game1.41 1.38 1.28 – 1.5
Shots/game2.59 2.57 2.4 – 2.77

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
kareemostyle S26Veteran 0.670.671.37 0.84
z2kay S22Rival 0.680.641.46 0.85
speed_demon1215 S25Veteran 0.680.631.25 0.85
Irozuh- S23Rival 0.620.61.21 0.87
huday S26Elite 0.620.541.25 0.98
Navik S25Master 0.680.661.47 0.98
bosco S24Master 0.50.751.33 1.00
Swimmer S19Challenger 0.670.671.25 1.01
saltybikini S24Elite 0.670.631.37 1.01
kalten S21Master 0.50.711.38 1.04

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.