Gab T Desh

Gab T Desh — CS2 Stats

76561199036677193[U:1:1076411465]Steam profile ↗✓ No bans

1,215Tracked matches38%Win rate2020Tracked since
CSDB Rating3.2 LearningPositional Player
WingmanGold Nova II
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 40 days played since 1 Feb 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 4,222 -495 6 Feb24 Mar · 18 days played
4,2225,000peak 5,0006 Feb24 Mar
5,110Peak Premier in tracked matches
40Days 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

Aim29
Positioning46
Utility29

0–100 skill scores via Leetify.

Recent form

COLD49438Last 10049%Win rateWLLLLLWLWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −2.3pp headshot accuracy · +2ms reaction

Win rate +10pp 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

  • 14 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 18%
  • Avg reaction 653ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 659ms

Last 20

  • 5141 · 25% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 658ms

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 PlayerPositioning stands above the rest of this profile (+1.4 against its own average).

Aim2.9
Utility2.9
Positioning4.6
Opening Duels2.1

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

iM

Plays most like iM 73% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

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

Reaction time. 682ms 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

Aim2.9
Positioning4.6
Utility2.9
Mechanics4.7
Opening Duels1.8
Win Impact1.2

Composite 3.2/10 (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-0.03−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time666ms+12ms
first ⅓ avg 654ms → last ⅓ avg 666ms
Headshot accuracy14.7%+2.0%
first ⅓ avg 12.6% → 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

0.19Best match rating · 3–1 · nuke, 15 Feb
36%Best headshot accuracy · 3–1 · nuke, 15 Feb
398msFastest reaction time · 5–0 · overpass, 14 Mar
13–2Biggest win · overpass, 4 Feb

Across the last 100 tracked matches.

Highlights

7Longest win streak
71In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 88% over 8infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B29151452%-0.03
mirageC135838%-0.03
ancientB126650%-0.01
anubisB105550%-0.03
infernoD103730%-0.02
nukeB105550%0.01
overpassS87188%0.01
vertigo42250%-0.00
cache2020%-0.06
train1010%0.02
warden110100%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). 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.

13.9%Headshot accuracy
29.1%Accuracy (enemy spotted)
31.5%Spray accuracy
71.2%Counter-strafing
11.8°Preaim
682msReaction time
33.0%T opening success
41.2%CT opening success
0.61Enemies flashed / flash
0.0%Flash assists
6.88HE damage / grenade
3.01Flashes / 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. 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 13.9376% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.0087 — below the 4 mark we flag

    Grenade Lineups
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 32.972% — below the 40% mark we flag

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–8-0.077%12 May
mirage2–13-0.1318%12 May
dust29–130.0114%11 May
cache9–13-0.0829%30 Apr
cache5–13-0.0423%30 Apr
anubis10–13-0.070%4 Apr
dust213–10-0.0210%4 Apr
vertigo9–13-0.0311%4 Apr
inferno13–90.0412%24 Mar
nuke5–13-0.0525%23 Mar
mirage13–10-0.0115%19 Mar
anubis5–13-0.0918%17 Mar
dust27–13-0.0417%17 Mar
dust27–13-0.035%16 Mar
dust24–13-0.0532%15 Mar
inferno13–90.0315%15 Mar
dust212–12-0.016%15 Mar
mirage5–130.0317%15 Mar
overpass4–130.0015%15 Mar
ancient6–13-0.0730%15 Mar
dust213–5-0.0521%15 Mar
anubis13–10-0.009%14 Mar
overpass5–00.0611%14 Mar
dust213–8-0.037%14 Mar
dust212–12-0.079%13 Mar
dust20–4-0.079%13 Mar
mirage12–12-0.0710%13 Mar
train11–130.0210%11 Mar
dust213–110.0022%11 Mar
ancient15–150.019%11 Mar
dust25–130.0320%11 Mar
anubis13–100.0713%10 Mar
dust212–12-0.0813%10 Mar
nuke13–100.0525%10 Mar
inferno2–13-0.090%9 Mar
inferno0–40.0417%9 Mar
dust213–60.0115%7 Mar
inferno7–13-0.0914%7 Mar
dust213–6-0.0213%5 Mar
warden13–5-0.048%5 Mar
nuke13–11-0.0818%4 Mar
nuke9–13-0.028%3 Mar
ancient13–160.035%2 Mar
ancient5–13-0.0614%2 Mar
overpass13–8-0.0123%1 Mar
dust213–7-0.054%1 Mar
anubis12–12-0.0510%28 Feb
mirage8–13-0.0716%28 Feb
dust29–13-0.0415%28 Feb
mirage13–30.0717%28 Feb
nuke8–130.0212%27 Feb
anubis13–10-0.0614%27 Feb
ancient13–70.049%27 Feb
dust213–90.027%27 Feb
mirage9–13-0.0117%27 Feb
dust213–10-0.085%27 Feb
overpass13–4-0.055%25 Feb
dust28–13-0.0312%25 Feb
dust27–13-0.0317%25 Feb
ancient13–80.050%23 Feb
dust213–6-0.0214%23 Feb
overpass13–60.0514%23 Feb
mirage13–10-0.0113%23 Feb
nuke5–130.0010%23 Feb
ancient4–13-0.0712%23 Feb
vertigo9–130.0510%20 Feb
ancient13–40.0216%20 Feb
dust213–6-0.068%20 Feb
mirage4–13-0.046%18 Feb
mirage16–140.0611%17 Feb
anubis8–13-0.0130%17 Feb
overpass13–30.009%16 Feb
vertigo13–7-0.044%15 Feb
nuke3–10.1936%15 Feb
nuke8–13-0.0311%15 Feb
mirage8–13-0.0617%15 Feb
anubis13–110.0215%13 Feb
inferno13–3-0.058%13 Feb
inferno7–130.0225%11 Feb
inferno15–15-0.079%10 Feb
ancient13–10-0.010%10 Feb
dust213–6-0.0127%10 Feb
inferno5–13-0.026%9 Feb
nuke13–60.0216%9 Feb
dust28–13-0.0618%8 Feb
ancient5–7-0.0620%8 Feb
dust24–13-0.036%8 Feb
anubis10–13-0.046%8 Feb
mirage2–13-0.0610%7 Feb
inferno12–16-0.027%7 Feb
mirage13–11-0.064%7 Feb
dust213–80.0815%7 Feb
dust213–8-0.0518%6 Feb
ancient13–7-0.0113%6 Feb
nuke13–10-0.029%5 Feb
overpass11–40.0114%5 Feb
overpass13–2-0.008%4 Feb
ancient12–120.0111%4 Feb
vertigo13–90.0111%1 Feb
dust213–6-0.0011%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 →