Cotaker01

Cotaker01 — CS2 Stats

MX76561198301451218[U:1:341185490]Steam profile ↗

3,430Tracked matches56%Win rate2020Tracked since
CSDB Rating6.0 SolidPassive Rifler
Premier CS Rating22,662Top 50% of 819 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)
CSDB Leaderboard#2892 of 9462 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGCotaker01PREMIER22,662 · Pink bandcsdb.gg/stats

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Performance scores

Aim77
Positioning42
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY59356Last 10059%Win rateWLWLWWLWWL

Last 10 vs previous 10: +10pp win rate · -0.03 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.7
Aggression2.7
Utility6.4
Positioning4.2
Opening Duels0.0
Clutch3.2

Strong CT-side opener

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

Your pro match

NiKo

Plays most like NiKo 85% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower opening-fight frequency.

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 34 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 45% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms 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

Aim7.7
Positioning4.2
Utility6.4
Mechanics6.0
Opening Duels1.9
Win Impact6.9

Composite 6.0/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time580ms+5ms
first ⅓ avg 575ms → last ⅓ avg 580ms
Headshot accuracy22.6%−1.5%
first ⅓ avg 24.1% → last ⅓ avg 22.6%

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.

Highlights

0.23Best rating — mirage 13–2
130Biggest win — mirage
7Longest win streak
119In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 65% over 37cacheWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2S37241365%0.01
mirageA31171455%0.02
ancientA149564%0.02
infernoC73443%0.00
cacheC52340%-0.05
anubis220100%0.03
train220100%0.06
italy1010%0.00
vertigo1010%-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

2,180Matches
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 resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage29054%1.1816.2
Dust215343%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.

23.7%Headshot accuracy
33.3%Accuracy (enemy spotted)
38.0%Spray accuracy
77.1%Counter-strafing
8.1°Preaim
602msReaction time
13.5%T opening success
45.2%CT opening success
0.64Enemies flashed / flash
5.1%Flash assists
8.82HE damage / grenade
16.80Flashes / 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 13.5196% — below the 40% mark we flag

Spend your practice time on Cache

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 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
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
mirage11–130.0218%4 Jun
dust213–00.0321%4 Jun
dust20–2-0.010%2 Jun
mirage0–13-0.030%2 Jun
inferno13–6-0.0229%1 Jun
mirage13–50.0129%1 Jun
ancient16–140.1332%1 Jun
ancient13–40.0734%1 Jun
dust213–11-0.0521%31 May
dust213–40.0638%31 May
ancient13–60.0324%31 May
mirage9–130.0618%31 May

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 →