Copdel

Copdel — CS2 Stats

CH76561198217021027[U:1:256755299]Steam profile ↗✓ No bans

486Tracked matches43%Win rate2020Tracked since
CSDB Rating4.5 Developing
Premier CS Rating12,657Blue band · top ~40.8% of ranked players (population est.)
CSDB Leaderboard#12384 of 17753 tracked
Ladder ranks via Leetify

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CSDB.GGCopdelPREMIER12,657 · Blue bandcsdb.gg/stats

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Performance scores

Aim56
Positioning48
Utility57

0–100 skill scores via Leetify.

Recent form

COLD46459Last 10046%Win rateWLLWWLLLLL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Aim5.6
Aggression6.4
Utility5.7
Positioning4.8
Opening Duels1.9

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

Twistzz

Plays most like Twistzz 86% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 633ms 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

Aim5.6
Positioning4.8
Utility5.7
Mechanics5.1
Opening Duels1.9
Win Impact2.6

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time643ms−98ms
first ⅓ avg 740ms → last ⅓ avg 643ms
Headshot accuracy15.5%−1.5%
first ⅓ avg 17.0% → last ⅓ avg 15.5%

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

0.16Best rating — mirage 13–1
131Biggest win — mirage
6Longest win streak
1110In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 71% over 7infernoWeakest map · 42% over 26
MapGradePlayedRecordWin rateAvg rating
dust2C34151944%-0.02
infernoC26111542%-0.03
ancientB105550%-0.02
overpassS96367%-0.00
nukeC73443%-0.05
mirageS75271%0.04
cache4040%-0.07
anubis31233%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 26). 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.

15.6%Headshot accuracy
32.1%Accuracy (enemy spotted)
38.0%Spray accuracy
72.8%Counter-strafing
9.1°Preaim
633msReaction time
31.4%T opening success
43.5%CT opening success
0.71Enemies flashed / flash
6.6%Flash assists
11.50HE damage / grenade
5.94Flashes / 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 31.3689% — 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.

42% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–110.0113%28 Aug
nuke9–13-0.128%26 Aug
dust26–13-0.0916%25 Aug
anubis13–10-0.0621%25 Aug
nuke13–50.0127%19 Aug
inferno7–13-0.0414%19 Aug
dust211–13-0.0415%12 Aug
ancient8–13-0.034%10 Aug
dust24–13-0.100%8 Aug
anubis11–13-0.0313%7 Aug
dust213–40.0315%7 Aug
dust213–9-0.0220%7 Aug
mirage13–80.0612%7 Aug
inferno13–5-0.0417%6 Aug
dust211–13-0.0314%30 Jul
inferno15–15-0.0616%29 Jul
cache2–13-0.0528%26 Jul
cache11–13-0.089%14 Jul
inferno3–13-0.0815%14 Jul
inferno7–13-0.0626%14 Jul
nuke13–9-0.0421%14 Jul
ancient13–11-0.0219%13 Jul
dust213–90.0714%13 Jul
dust24–13-0.0619%29 Jun
cache8–13-0.029%29 Jun
dust25–13-0.0627%26 Jun
inferno13–8-0.0123%25 Jun
ancient15–15-0.0416%14 Jun
inferno7–13-0.0220%14 Jun
inferno13–5-0.022%11 Jun
ancient13–8-0.017%11 Jun
dust213–5-0.0123%11 Jun
dust213–7-0.0310%11 Jun
ancient13–3-0.006%11 Jun
inferno13–100.0114%7 Jun
dust215–15-0.017%7 Jun
inferno10–13-0.0618%18 May
cache12–12-0.134%4 May
nuke11–2-0.0329%30 Apr
dust215–15-0.084%27 Apr
dust214–16-0.0212%23 Apr
dust28–13-0.0230%20 Apr
overpass13–11-0.0224%27 Mar
dust27–13-0.0631%27 Mar
dust28–13-0.0017%26 Mar
nuke15–15-0.0120%26 Mar
overpass13–6-0.0013%20 Mar
anubis6–13-0.0418%20 Mar
mirage13–70.0410%20 Mar
dust213–110.0131%19 Mar
inferno15–15-0.0316%19 Mar
mirage4–13-0.0910%19 Mar
overpass9–13-0.0516%16 Mar
overpass15–15-0.017%11 Mar
inferno6–13-0.0517%10 Mar
dust211–1-0.0318%10 Mar
ancient13–6-0.0413%10 Mar
inferno13–11-0.0226%5 Mar
dust213–90.0111%5 Mar
dust26–130.0128%5 Mar
ancient13–9-0.047%28 Feb
overpass13–110.0012%22 Feb
dust213–30.0727%22 Feb
inferno13–4-0.0012%19 Feb
dust29–13-0.0421%11 Feb
inferno6–13-0.059%5 Feb
overpass16–14-0.0216%15 Jan
dust29–13-0.037%15 Jan
inferno13–100.0716%19 Dec
inferno8–13-0.0412%20 Nov
dust211–13-0.1113%15 Nov
nuke14–16-0.1011%14 Nov
dust213–10-0.0023%14 Nov
overpass13–6-0.0218%14 Nov
nuke11–13-0.0510%27 Oct
inferno13–5-0.079%27 Oct
inferno13–11-0.0113%24 Oct
mirage13–80.0514%24 Oct
dust23–130.0024%24 Oct
dust213–11-0.0317%9 Oct
dust213–80.0218%9 Oct
dust213–110.0315%9 Oct
mirage13–10.1618%9 Oct
ancient11–130.0413%8 Oct
mirage15–15-0.0215%4 Oct
ancient5–13-0.0512%2 Oct
dust213–6-0.0024%2 Oct
overpass9–00.1142%2 Oct
dust22–40.0327%2 Oct
inferno9–13-0.0313%23 Sept
dust25–13-0.0919%21 Aug
overpass4–13-0.0126%21 Aug
inferno5–13-0.0724%30 Jul
dust213–100.0013%30 Jul
inferno8–13-0.0729%30 Jul
mirage13–80.0521%30 Jul
inferno13–110.0113%29 Jul
inferno6–13-0.074%27 Jul
ancient10–130.0016%27 Jul
inferno0–13-0.0813%27 Jul

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 →