Donk Cheadle

Donk Cheadle — CS2 Stats

CA76561198153851944[U:1:193586216]Steam profile ↗✓ No bans

635Tracked matches46%Win rate2021Tracked since
2,508Hours in CS48Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

+68Tracked matches · now 635
+2.0ppWin rate · 44.4% → 46.4%

Rating over time

41Days played since 2026-07-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,934), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate48.7%43.7%44.8%above
Shot accuracy2.7%12.0%12.4%9.7% short
Kill/death ratio1.891.021.03above
Match win rate43.0%44.7%45.2%2.2% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDonk CheadleFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim84
Positioning65
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY42–52–6Last 10042%Win rateLWLWWLLLLW

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · −1.7pp headshot accuracy · −9ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 531ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 546ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 551ms

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 (+2.6 against its own average).

Aim8.4
Utility3.7
Positioning6.5
Opening Duels5.3
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

jL

Plays most like jL 86% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution.

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

Strengths

T openings. 75% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 75% on T to 53% on CT — first contacts on the defending side are being lost.

Reaction time. 550ms 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

Aim8.4
Positioning6.5
Utility3.7
Mechanics7.3
Opening Duels7.8
Win Impact3.8

Composite 6.6/10 (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 rating0.01−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time551ms+18ms
first ⅓ avg 533ms → last ⅓ avg 551ms
Headshot accuracy23.2%+3.7%
first ⅓ avg 19.6% → last ⅓ avg 23.2%

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

0.19Best match rating · 13–8 · dust2, 2 Aug →
45%Best headshot accuracy · 13–11 · inferno, 25 Sept →
391msFastest reaction time · 13–8 · mirage, 10 Oct →
13–0Biggest win · inferno, 11 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–4In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 67% over 9mirageWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2C228–1436%0.05
ancientB136–746%0.01
mirageD134–931%0.03
infernoD134–931%-0.00
anubisB136–746%-0.00
nukeS96–367%0.05
cacheA74–357%0.01
overpass—42–250%0.07
vertigo—21–150%0.09
train—21–150%0.04
office—20–20%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

158,800Lifetime kills
1.89K/D · Top 5% of Level 5 players
3,337Matches
43.0%Match win rate
48.7%Headshot % · Top 50% of Level 5 players
2.7%Shot accuracy
12,652MVPs
3,305Hours (in match)
1,245Bombs planted
655Bombs defused

Most-used weapons

AK-4770,735
AWP57,488
Knife4,039
FAMAS1,240
MP91,163

Lifetime map wins

1,997nuke
1,972inferno
1,150dust2
1,120vertigo
482train
74office
57lake
54cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

16Matches
50%Win rate
1.10Avg K/D
85.3ADR
50%Headshot %

Clutches & streaks

20%1v1 clutch win
12%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke4100%1.3216.3
Mirage30%1.0719.0
Ancient367%1.2716.7
Inferno333%1.0017.3
Anubis250%0.959.0

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.

22.1%Headshot accuracy
37.4%Accuracy (enemy spotted)
41.4%Spray accuracy
83.0%Counter-strafing
9.8°Preaim
550msReaction time
75.0%T opening success
52.6%CT opening success
0.40Enemies flashed / flash
2.9%Flash assists
5.67HE damage / grenade
6.69Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4026 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo10–130.0425%20 Oct →
ancient13–40.1022%20 Oct →
mirage11–130.0324%18 Oct →
inferno6–20.0128%18 Oct →
nuke13–100.0428%17 Oct →
dust210–13-0.0115%17 Oct →
dust29–130.0520%17 Oct →
anubis8–130.0224%16 Oct →
overpass3–13-0.0129%16 Oct →
ancient13–9-0.068%16 Oct →
cache13–10-0.0116%13 Oct →
anubis13–10-0.0312%13 Oct →
inferno6–130.0327%13 Oct →
dust212–120.0531%12 Oct →
inferno6–13-0.0430%12 Oct →
inferno1–13-0.0543%12 Oct →
anubis13–11-0.0420%12 Oct →
anubis13–10-0.0516%11 Oct →
mirage7–13-0.0417%11 Oct →
inferno13–00.0228%11 Oct →
anubis13–110.0618%11 Oct →
mirage13–80.0820%10 Oct →
inferno8–13-0.0220%10 Oct →
anubis12–12-0.0616%9 Oct →
dust22–70.1220%9 Oct →
nuke13–90.0220%8 Oct →
inferno10–13-0.0326%8 Oct →
dust213–100.0718%8 Oct →
ancient4–130.0129%7 Oct →
nuke5–130.0331%7 Oct →
dust24–90.0740%7 Oct →
nuke7–130.0029%6 Oct →
cache13–10.0418%6 Oct →
mirage10–13-0.0323%5 Oct →
ancient8–130.0333%5 Oct →
overpass13–70.1131%5 Oct →
ancient13–60.0719%4 Oct →
train13–70.1330%4 Oct →
nuke13–10-0.0314%4 Oct →
inferno8–13-0.0232%4 Oct →
dust211–130.0429%3 Oct →
dust213–60.0421%3 Oct →
ancient13–4-0.0117%3 Oct →
ancient7–13-0.0320%3 Oct →
mirage13–60.1428%3 Oct →
nuke5–13-0.0127%2 Oct →
ancient10–13-0.0222%2 Oct →
cache13–70.0727%28 Sept →
anubis10–130.0823%28 Sept →
office10–13-0.0128%27 Sept →
mirage4–13-0.0415%27 Sept →
vertigo13–80.1428%25 Sept →
inferno13–110.0145%25 Sept →
dust210–130.0231%24 Sept →
mirage3–130.0824%23 Sept →
ancient9–130.0126%23 Sept →
dust213–40.0321%22 Sept →
nuke13–40.1327%21 Sept →
inferno11–130.0122%21 Sept →
mirage5–13-0.0126%21 Sept →
dust26–130.0725%20 Sept →
mirage8–130.0719%20 Sept →
overpass13–40.1923%20 Sept →
anubis5–130.0135%19 Sept →
ancient8–13-0.0822%6 Sept →
dust210–130.0623%6 Sept →
anubis13–70.0429%6 Sept →
ancient13–60.1214%6 Sept →
mirage4–130.0324%2 Sept →
cache13–1-0.0425%31 Aug →
anubis12–12-0.0519%31 Aug →
mirage13–90.0318%31 Aug →
inferno0–10-0.0339%31 Aug →
cache6–130.0426%30 Aug →
dust213–9-0.0212%30 Aug →
dust213–80.1026%30 Aug →
dust28–130.0413%27 Aug →
nuke13–50.1519%25 Aug →
ancient13–110.1431%24 Aug →
anubis8–13-0.0211%24 Aug →
inferno12–120.0322%24 Aug →
nuke13–80.0821%23 Aug →
dust210–130.0216%23 Aug →
anubis13–11-0.0017%19 Aug →
anubis12–12-0.0113%18 Aug →
office11–13-0.0210%13 Aug →
mirage13–110.0128%13 Aug →
cache4–13-0.0115%9 Aug →
train10–13-0.0421%9 Aug →
dust25–130.0524%4 Aug →
dust213–9-0.0224%4 Aug →
dust25–13-0.0411%4 Aug →
dust213–100.1723%3 Aug →
overpass7–13-0.0210%2 Aug →
dust213–80.1920%2 Aug →
ancient4–13-0.0814%2 Aug →
dust28–13-0.0120%2 Aug →
cache6–13-0.0218%2 Aug →
inferno13–60.0420%2 Aug →
mirage12–120.0623%30 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.