Cotaker01

Cotaker01 — CS2 Stats

MX76561198301451218[U:1:341185490]Steam profile ↗✓ No bans

3,442Tracked matches52%Win rate2020Tracked since
CSDB Rating5.8 SolidSupport
Premier CS Rating22,356Top 50% of 175,286 CSDB-tracked playersPink band · top ~5.9% of ranked players (population est.)
CSDB Leaderboard#45461 of 221316 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 32 days played since 5 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 22,356 -2,866 5 Jun15 Sept · 21 days played
22,00227,689peak 27,6895 Jun15 Sept
Faceit ELO: 1,952 +0 28 Aug1 Sept · 3 observations
1,9521,952peak 1,95228 Aug1 Sept
27,745Peak Premier in tracked matches
1,952Highest Faceit ELO seen on CSDB
32Days played since 2026-06-05

Faceit ELO

  • At peak — 1,952
  • Next: Level 10 at 2,001 49 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-28
  • Level 8 first seen 2026-08-28

Premier CS Rating

  • 5,333 below peak (27,689)
  • -306 over 30 days · steady
  • -2,643 over 90 days
  • Next: Red band at 25,000 2,644 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGCotaker01PREMIER22,356 · Pink bandPEAK ELO1,952csdb.gg/stats

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Performance scores

Aim78
Positioning48
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY56386Last 10056%Win rateLWLWLLWLWL

Last 10 vs previous 10: −20pp win rate · +0.06 avg rating · +1.3pp headshot accuracy · −25ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.06), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 569ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 564ms

Last 20

  • 1010 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 577ms

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: SupportUtility contribution stands above the rest of this profile (+2.4 against its own average).

Aim7.8
Utility6.0
Positioning4.8
Opening Duels0.5
Clutch3.2

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

Twistzz

Plays most like Twistzz 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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

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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

Reaction time. 581ms 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

Aim7.8
Positioning4.8
Utility6.0
Mechanics5.7
Opening Duels0.8
Win Impact5.6

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time587ms−40ms
first ⅓ avg 627ms → last ⅓ avg 587ms
Headshot accuracy21.7%−4.4%
first ⅓ avg 26.1% → last ⅓ avg 21.7%

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

0.23Best match rating · 13–2 · mirage, 20 Jun
60%Best headshot accuracy · 0–2 · dust2, 24 Jun
438msFastest reaction time · 11–13 · inferno, 15 Sept
13–0Biggest win · mirage, 30 Jun

Across the last 100 tracked matches.

Highlights

7Longest win streak
109In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 63% over 35infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A35221363%0.01
mirageA33181555%0.02
ancientB137654%0.01
infernoC83538%0.02
cacheC52340%-0.05
anubis220100%0.03
train220100%0.06
italy1010%0.00
vertigo1010%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,181Matches
50%Win rate
1.12Avg K/D
77.3ADR
49%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
14Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage29054%1.1816.2
Dust215443%1.0615.4
Ancient10851%1.0515.7
Inferno9752%1.1316.2
Anubis8856%1.1214.5
Vertigo3447%0.9313.4
Nuke3139%0.8513.3
Train1323%0.9414.0

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.

21.5%Headshot accuracy
34.5%Accuracy (enemy spotted)
39.1%Spray accuracy
75.7%Counter-strafing
7.8°Preaim
581msReaction time
29.5%T opening success
36.6%CT opening success
0.57Enemies flashed / flash
4.3%Flash assists
7.96HE damage / grenade
16.89Flashes / 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 29.4809% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage7–130.0219%15 Sept
dust213–20.0512%15 Sept
inferno11–130.0314%15 Sept
ancient13–60.1427%15 Sept
mirage8–130.0125%15 Sept
ancient13–16-0.0216%13 Sept
mirage13–110.1030%7 Sept
mirage11–130.0227%7 Sept
inferno13–20.1422%7 Sept
mirage7–130.0213%7 Sept
dust212–16-0.0320%30 Aug
mirage13–60.0123%30 Aug
dust213–6-0.0121%14 Aug
mirage6–13-0.0513%31 Jul
dust213–11-0.0215%27 Jul
inferno1–13-0.0223%26 Jul
mirage13–7-0.0212%22 Jul
dust213–50.0423%22 Jul
dust23–130.038%20 Jul
ancient13–10-0.0335%20 Jul
ancient16–140.0017%19 Jul
mirage8–13-0.0616%19 Jul
mirage11–130.0226%15 Jul
dust216–120.0334%14 Jul
mirage13–70.0932%14 Jul
cache9–13-0.0713%14 Jul
ancient11–13-0.0220%14 Jul
ancient15–150.0527%14 Jul
mirage13–100.0128%14 Jul
dust213–100.0318%13 Jul
mirage5–13-0.0719%13 Jul
dust213–80.0533%13 Jul
mirage5–130.0034%13 Jul
dust213–110.0222%13 Jul
dust27–13-0.0229%13 Jul
dust24–13-0.1130%12 Jul
inferno13–110.0226%12 Jul
dust215–15-0.0127%10 Jul
mirage13–30.0620%9 Jul
mirage13–40.0737%9 Jul
dust212–120.1020%9 Jul
ancient0–2-0.020%8 Jul
anubis13–30.0827%8 Jul
dust22–13-0.0717%7 Jul
italy12–120.0023%7 Jul
cache13–10-0.0812%7 Jul
inferno12–120.0522%7 Jul
dust213–10-0.0230%7 Jul
dust213–40.0934%6 Jul
ancient8–13-0.0816%6 Jul
mirage13–110.0615%6 Jul
cache3–13-0.0728%5 Jul
cache4–13-0.0332%5 Jul
dust29–130.0321%4 Jul
mirage11–13-0.0122%4 Jul
inferno2–13-0.1040%4 Jul
mirage13–100.0643%3 Jul
ancient13–5-0.0416%3 Jul
inferno9–130.0226%3 Jul
dust28–13-0.0619%3 Jul
anubis13–10-0.0223%3 Jul
ancient13–50.0423%30 Jun
mirage13–00.000%30 Jun
mirage15–150.0423%30 Jun
ancient2–13-0.075%24 Jun
mirage10–13-0.0318%24 Jun
dust213–70.0226%24 Jun
dust20–2-0.0260%24 Jun
mirage13–30.0533%24 Jun
mirage13–110.0127%23 Jun
dust213–10-0.0131%23 Jun
dust27–2-0.0511%23 Jun
dust213–4-0.0318%22 Jun
mirage13–30.0824%22 Jun
dust24–130.0424%22 Jun
ancient13–70.0216%21 Jun
dust213–10.0132%21 Jun
mirage13–20.1641%21 Jun
inferno13–70.0513%21 Jun
dust213–8-0.0133%21 Jun
dust216–120.0526%21 Jun
mirage7–13-0.0313%21 Jun
mirage13–40.0333%21 Jun
mirage0–2-0.210%21 Jun
dust213–110.0423%20 Jun
mirage13–20.2318%20 Jun
train13–60.0923%20 Jun
dust26–30.0936%20 Jun
ancient13–40.1426%20 Jun
mirage13–4-0.0325%17 Jun
dust213–30.0412%17 Jun
mirage8–13-0.0222%15 Jun
dust29–13-0.0422%15 Jun
dust213–90.1125%5 Jun
train13–110.0435%5 Jun
dust210–13-0.0432%5 Jun
cache13–3-0.0241%5 Jun
vertigo11–13-0.0120%5 Jun
dust213–110.0638%5 Jun
mirage13–90.0027%5 Jun

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 →