Bartman

Bartman — CS2 Stats

AT76561198316963664[U:1:356697936]Steam profile ↗✓ No bans

1,243Tracked matches33%Win rate2020Tracked since
CSDB Rating3.6 LearningPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 14,800 +1,473 17 May – 21 Jun · 8 days played
12,95414,817peak 14,81717 May21 Jun
14,999Peak Premier in tracked matches
28Days played since 2026-02-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim46
Positioning49
Utility10

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateWLTWLWLWLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +0.1pp headshot accuracy · −81ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 527ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 580ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 620ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim4.6
Utility1.0
Positioning4.9
Opening Duels3.5

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 51% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 664ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim4.6
Positioning4.9
Utility1.0
Mechanics5.2
Opening Duels2.6
Win Impact0.0

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time657ms−69ms
first ⅓ avg 725ms → last ⅓ avg 657ms
Headshot accuracy14.7%−3.3%
first ⅓ avg 18.0% → last ⅓ avg 14.7%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.10Best match rating · 13–2 · cache, 5 Jun →
50%Best headshot accuracy · 7–1 · cache, 24 May →
453msFastest reaction time · 11–13 · inferno, 11 Sept →
13–0Biggest win · mirage, 17 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 67% over 6infernoWeakest map · 40% over 25
MapGradePlayedRecordWin rateAvg rating
infernoC2510–1540%-0.05
mirageC2510–1540%-0.04
nukeB199–1047%-0.04
cacheB157–847%-0.01
dust2S64–267%-0.01
overpass—32–167%-0.03
ancient—20–20%-0.01
train—21–150%0.01
anubis—11–0100%-0.03
office—11–0100%0.00
vertigo—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 25). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.8%Headshot accuracy
34.9%Accuracy (enemy spotted)
37.5%Spray accuracy
73.6%Counter-strafing
12.3°Preaim
664msReaction time
24.7%T opening success
51.1%CT opening success
0.16Enemies flashed / flash
1.8%Flash assists
0.00HE damage / grenade
1.18Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3132° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.8273% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.1585 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–5-0.0313%4 Oct →
inferno11–13-0.039%11 Sept →
ancient15–150.0013%11 Sept →
inferno13–70.0218%11 Sept →
inferno5–13-0.0317%30 Aug →
mirage13–90.0118%30 Aug →
inferno6–13-0.0610%30 Aug →
cache13–30.0220%30 Aug →
inferno2–9-0.206%30 Aug →
inferno6–13-0.0410%23 Aug →
mirage6–13-0.0816%23 Aug →
inferno15–15-0.015%19 Aug →
nuke11–13-0.0326%19 Aug →
mirage13–9-0.0116%19 Aug →
cache9–13-0.0013%19 Aug →
train13–90.033%17 Aug →
inferno13–9-0.0215%17 Aug →
train9–13-0.0212%16 Aug →
nuke3–13-0.0513%16 Aug →
inferno9–30.0213%16 Aug →
cache10–130.0313%15 Aug →
mirage11–13-0.0516%7 Aug →
nuke8–13-0.119%7 Aug →
inferno6–9-0.0911%7 Aug →
inferno9–5-0.0619%7 Aug →
mirage11–13-0.0410%7 Aug →
nuke13–8-0.0718%7 Aug →
nuke2–9-0.1822%7 Aug →
mirage13–10-0.0523%6 Aug →
mirage8–13-0.0120%6 Aug →
inferno14–16-0.0710%6 Aug →
inferno8–13-0.0028%26 Jul →
nuke2–13-0.0217%26 Jul →
mirage4–13-0.0318%26 Jul →
nuke15–15-0.0420%26 Jul →
mirage13–60.0215%26 Jul →
cache5–13-0.0829%26 Jul →
mirage6–13-0.0813%21 Jun →
mirage13–11-0.0422%21 Jun →
nuke11–13-0.089%20 Jun →
mirage13–60.0412%20 Jun →
dust213–40.0626%20 Jun →
mirage3–13-0.056%20 Jun →
inferno8–13-0.0619%20 Jun →
nuke13–9-0.0417%20 Jun →
mirage13–9-0.0216%20 Jun →
inferno8–13-0.0512%20 Jun →
nuke16–13-0.0417%20 Jun →
overpass13–7-0.0612%20 Jun →
nuke13–8-0.0416%20 Jun →
inferno13–8-0.098%20 Jun →
inferno13–9-0.0713%5 Jun →
dust21–13-0.0712%5 Jun →
cache13–20.1021%5 Jun →
mirage13–6-0.0310%5 Jun →
overpass13–10-0.0611%5 Jun →
inferno9–13-0.0315%31 May →
mirage4–13-0.0610%31 May →
inferno13–9-0.0418%31 May →
mirage8–13-0.0833%31 May →
nuke16–13-0.0415%31 May →
mirage6–13-0.044%27 May →
nuke11–130.0129%24 May →
dust216–13-0.0215%24 May →
cache7–1-0.0850%24 May →
inferno10–13-0.0419%20 May →
overpass8–130.0317%17 May →
mirage7–13-0.1217%17 May →
nuke13–4-0.0113%17 May →
mirage13–00.0526%17 May →
dust213–11-0.0121%17 May →
inferno13–11-0.0719%17 May →
cache11–13-0.0417%16 May →
mirage9–13-0.0721%16 May →
nuke5–130.0217%16 May →
inferno13–11-0.0518%16 May →
nuke13–50.0017%16 May →
mirage7–13-0.0521%16 May →
cache13–90.0120%15 May →
mirage11–13-0.0410%15 May →
inferno2–9-0.1135%15 May →
dust213–5-0.0212%15 May →
office13–30.0018%15 May →
cache13–90.0229%8 May →
cache13–4-0.0417%8 May →
nuke9–13-0.0914%8 May →
cache12–12-0.0323%8 May →
inferno4–13-0.0515%8 May →
mirage13–11-0.0523%8 May →
cache9–13-0.0019%3 May →
nuke13–2-0.0210%3 May →
cache7–13-0.0519%3 May →
cache13–40.0117%3 May →
cache6–13-0.0525%28 Apr →
nuke16–14-0.0013%11 Apr →
vertigo12–12-0.0416%11 Apr →
inferno13–11-0.0510%6 Mar →
ancient7–13-0.039%28 Feb →
mirage9–13-0.0513%28 Feb →
dust28–13-0.0221%1 Feb →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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