Turkish Tank

Turkish Tank — CS2 Stats

76561198794836268[U:1:834570540]Steam profile ↗✓ No bans

244Tracked matches47%Win rate2025Tracked since
CSDB Rating4.7 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (43 days ago). Ranks are recorded once per day this page is viewed.

+6Tracked matches · now 244
0.0ppWin rate · 46.7% → 46.7%

Rating over time

Premier CS Rating: 8,543 -2,045 30 Jan – 4 Jul · 35 days played
8,29614,896peak 14,89630 Jan4 Jul
14,999Peak Premier in tracked matches
45Days played since 2026-01-24

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

Performance scores

Aim58
Positioning37
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY45–54–1Last 10045%Win rateLWLWWWLLTL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +0.8pp headshot accuracy · +23ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 609ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 691ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 680ms

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: Support — Utility contribution stands above the rest of this profile (+2.7 against its own average).

Aim5.8
Utility5.6
Positioning3.7
Opening Duels2.3
Clutch0.0

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

device

Plays most like device 82% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 660ms 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

Aim5.8
Positioning3.7
Utility5.6
Mechanics5.6
Opening Duels1.6
Win Impact3.9

Composite 4.7/10 (Developing), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time659ms−3ms
first ⅓ avg 662ms → last ⅓ avg 659ms
Headshot accuracy24.6%−0.7%
first ⅓ avg 25.4% → last ⅓ avg 24.6%

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

0.25Best match rating · 9–2 · inferno, 15 Mar →
100%Best headshot accuracy · 9–2 · inferno, 15 Mar →
477msFastest reaction time · 13–4 · dust2, 5 Feb →
13–1Biggest win · mirage, 25 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 63% over 16ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeC2410–1442%-0.01
mirageC218–1338%-0.00
dust2B2010–1050%-0.00
infernoA1610–663%0.03
ancientD82–625%-0.01
anubisA53–260%0.01
cache—30–30%-0.00
train—11–0100%-0.02
vertigo—11–0100%0.00
overpass—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

10Matches
40%Win rate
0.97Avg K/D
85.2ADR
61%Headshot %

Clutches & streaks

14%1v1 clutch win
17%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust2333%0.9715.7
Mirage30%0.7812.3
Ancient2100%1.2817.5
Anubis250%0.9517.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

24.4%Headshot accuracy
32.2%Accuracy (enemy spotted)
32.3%Spray accuracy
75.4%Counter-strafing
10.6°Preaim
660msReaction time
33.3%T opening success
39.4%CT opening success
0.63Enemies flashed / flash
2.2%Flash assists
11.97HE damage / grenade
15.25Flashes / 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

    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 33.2992% — below the 40% mark we flag

Spend your practice time on Ancient

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0630%21 Sept →
dust213–110.0522%14 Sept →
nuke8–13-0.1114%14 Sept →
anubis13–11-0.0022%26 Aug →
train13–6-0.0238%18 Aug →
nuke13–90.0218%6 Aug →
cache14–16-0.0219%6 Aug →
nuke5–13-0.0327%18 Jul →
inferno8–8-0.0120%4 Jul →
mirage7–130.0128%4 Jul →
vertigo13–80.0012%22 Jun →
ancient5–13-0.0321%22 Jun →
nuke8–13-0.0724%31 May →
dust216–12-0.0135%31 May →
mirage9–13-0.0015%28 May →
ancient10–130.0819%25 May →
nuke13–110.0026%25 May →
nuke13–10-0.0321%16 May →
inferno1–13-0.0626%16 May →
dust211–130.0630%11 May →
dust213–110.0429%6 May →
inferno14–16-0.0127%6 May →
nuke13–80.0522%3 May →
cache10–130.0826%3 May →
mirage13–10.0336%25 Apr →
mirage13–100.0528%17 Apr →
inferno13–9-0.0322%17 Apr →
nuke13–100.0934%14 Apr →
dust22–13-0.0423%14 Apr →
ancient11–130.0220%12 Apr →
dust29–130.0927%12 Apr →
inferno10–130.0129%12 Apr →
dust216–14-0.0323%12 Apr →
mirage13–16-0.0825%12 Apr →
dust25–130.0014%12 Apr →
nuke7–13-0.0522%6 Apr →
mirage9–130.0933%5 Apr →
nuke0–3-0.020%5 Apr →
dust23–13-0.0228%5 Apr →
anubis11–13-0.0119%4 Apr →
inferno9–70.1150%2 Apr →
dust29–13-0.0025%2 Apr →
anubis13–50.0718%2 Apr →
nuke9–13-0.0229%2 Apr →
anubis2–130.0322%2 Apr →
inferno9–40.1440%31 Mar →
mirage6–130.0137%31 Mar →
dust213–4-0.0720%31 Mar →
ancient6–13-0.0222%31 Mar →
mirage10–13-0.0122%31 Mar →
nuke2–13-0.0624%31 Mar →
ancient4–13-0.1130%27 Mar →
inferno9–20.25100%15 Mar →
nuke13–50.0034%15 Mar →
inferno10–13-0.0131%11 Mar →
ancient7–13-0.0121%5 Mar →
mirage12–16-0.0526%5 Mar →
nuke8–13-0.0130%4 Mar →
nuke13–90.0533%4 Mar →
ancient13–30.0748%4 Mar →
nuke6–13-0.0417%27 Feb →
dust213–11-0.0121%25 Feb →
mirage13–20.0720%25 Feb →
inferno8–20.039%25 Feb →
dust26–13-0.1018%25 Feb →
nuke6–13-0.0323%24 Feb →
inferno13–70.0418%24 Feb →
anubis13–11-0.0412%24 Feb →
dust213–10-0.0333%24 Feb →
inferno2–13-0.0447%24 Feb →
mirage13–8-0.0717%23 Feb →
mirage8–13-0.0422%23 Feb →
nuke8–13-0.0138%22 Feb →
inferno16–14-0.0031%22 Feb →
overpass10–13-0.0322%10 Feb →
dust27–13-0.0223%8 Feb →
nuke13–5-0.0217%6 Feb →
mirage13–6-0.0528%6 Feb →
nuke10–130.0118%6 Feb →
dust216–120.0525%5 Feb →
nuke9–13-0.0822%5 Feb →
mirage13–60.0316%5 Feb →
mirage13–50.0832%5 Feb →
dust213–4-0.0133%5 Feb →
dust27–13-0.0011%4 Feb →
mirage10–13-0.0326%3 Feb →
mirage13–10.0839%3 Feb →
dust213–5-0.0116%3 Feb →
mirage7–13-0.0322%3 Feb →
ancient13–11-0.0729%3 Feb →
nuke11–13-0.0441%30 Jan →
inferno13–60.0125%30 Jan →
mirage7–13-0.0925%29 Jan →
inferno13–40.0423%29 Jan →
nuke13–10.1329%29 Jan →
inferno13–100.0325%28 Jan →
dust23–13-0.0118%27 Jan →
mirage10–13-0.0727%27 Jan →
mirage6–13-0.0023%27 Jan →
nuke13–80.0225%24 Jan →

Match data via Leetify.

Recent teammates

Milestones

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

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