Copdel

Copdel — CS2 Stats

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

506Tracked matches55%Win rate2020Tracked since
CSDB Rating5.7 SolidPositional Player
Premier CS Rating15,344Purple band · top ~27% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−621Premier CS Rating · 15,965 → 15,344

Rating over time

Premier CS Rating: 15,344 +9,822 24 Oct – 2 Oct · 33 days played
5,52215,965peak 15,96524 Oct2 Oct
15,965Peak Premier in tracked matches
62Days played since 2025-10-09

Premier CS Rating

  • 621 below peak (15,965)
  • +1,983 over 30 days · improving
  • +4,786 over 90 days
  • Next: Pink band at 20,000 — 4,656 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-08-28
  • Light Blue 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.

Share this profile

CSDB.GGCopdelPREMIER15,344 · Purple bandcsdb.gg/stats

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Performance scores

Aim68
Positioning55
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY51–40–9Last 10051%Win rateLTWWWLWWLW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −0.7pp headshot accuracy · −35ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 573ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 555ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 573ms

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 Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim6.8
Utility5.4
Positioning5.5
Opening Duels1.7

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

sh1ro

Plays most like sh1ro 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. 576ms 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

Aim6.8
Positioning5.5
Utility5.4
Mechanics5.8
Opening Duels2.3
Win Impact6.7

Composite 5.7/10 (Solid), 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-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time590ms−129ms
first ⅓ avg 719ms → last ⅓ avg 590ms
Headshot accuracy15.6%+0.1%
first ⅓ avg 15.6% → last ⅓ avg 15.6%

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

0.07Best match rating · 13–10 · inferno, 19 Dec →
31%Best headshot accuracy · 7–13 · dust2, 27 Mar →
422msFastest reaction time · 13–10 · anubis, 24 Sept →
13–3Biggest win · ancient, 6 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 83% over 6cacheWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C3514–2140%-0.03
infernoA2515–1060%-0.02
ancientS96–367%-0.03
nukeC73–443%-0.05
overpassS75–271%-0.02
anubisB63–350%-0.03
mirageS65–183%0.01
cacheD50–50%-0.06

Across the last 100 tracked matches.

Skill profile

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

15.4%Headshot accuracy
33.1%Accuracy (enemy spotted)
38.5%Spray accuracy
76.3%Counter-strafing
8.5°Preaim
576msReaction time
40.9%T opening success
37.4%CT opening success
0.66Enemies flashed / flash
3.0%Flash assists
12.19HE damage / grenade
5.91Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.3653% — 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0627%2 Oct →
dust215–15-0.022%2 Oct →
dust213–5-0.0127%1 Oct →
inferno13–80.0722%1 Oct →
anubis13–9-0.0315%28 Sept →
dust211–13-0.0320%25 Sept →
anubis13–10-0.0217%24 Sept →
dust213–9-0.0311%21 Sept →
cache10–13-0.0117%18 Sept →
inferno13–7-0.058%16 Sept →
inferno13–9-0.0218%14 Sept →
inferno13–60.0026%14 Sept →
anubis6–13-0.0110%10 Sept →
ancient13–30.0017%6 Sept →
dust213–9-0.0520%5 Sept →
mirage13–3-0.0215%3 Sept →
ancient6–13-0.0916%3 Sept →
inferno13–10-0.0317%2 Sept →
mirage13–3-0.0015%2 Sept →
dust210–130.0219%31 Aug →
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 →

Match data via Leetify.

Recent teammates

Milestones

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

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