d0nkey

d0nkey — CS2 Stats

FI76561199480000248[U:1:1519734520]Steam profile ↗✓ No bans

946Tracked matches43%Win rate2023Tracked since
CSDB Rating3.6 LearningPositional Player
CSDB Leaderboard#60345 of 251281 tracked
FaceitLevel 5 · 642 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,539 +2,004 2 Aug – 20 Sept · 12 days played
19,53522,861peak 22,8612 Aug20 Sept
23,084Peak Premier in tracked matches
642Highest Faceit ELO seen on CSDB
41Days played since 2026-07-11

Faceit ELO

  • At peak — 642
  • Next: Level 3 at 751 — 109 to go
  • Reached: Level 2

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGd0nkeyFACEITLevel 5 · 642 ELOSTANDINGTop 67.6% of rankedPEAK ELO642csdb.gg/stats

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Performance scores

Aim53
Positioning40
Utility22

0–100 skill scores via Leetify.

Recent form

COLD42–51–7Last 10042%Win rateLWLLLTWLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −0.8pp headshot accuracy · +63ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 720ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 654ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 623ms

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).

Aim5.3
Utility2.2
Positioning4.0
Opening Duels0.8
Clutch4.0

Limited utility dependence

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

iM

Plays most like iM 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Areas to improve

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

Reaction time. 612ms 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

Aim5.3
Positioning4.0
Utility2.2
Mechanics5.7
Opening Duels1.2
Win Impact2.8

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time595ms−4ms
first ⅓ avg 599ms → last ⅓ avg 595ms
Headshot accuracy21.0%+1.7%
first ⅓ avg 19.3% → last ⅓ avg 21.0%

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

0.12Best match rating · 9–3 · inferno, 3 Aug →
41%Best headshot accuracy · 8–8 · inferno, 23 Aug →
375msFastest reaction time · 4–13 · ancient, 25 Aug →
13–0Biggest win · boulder, 8 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 71% over 14ancientWeakest map · 8% over 12
MapGradePlayedRecordWin rateAvg rating
infernoC269–1735%0.01
nukeC219–1243%0.00
anubisS1410–471%0.01
ancientD121–118%-0.02
cacheC104–640%0.01
mirageA85–363%0.01
vertigo—30–30%-0.08
italy—21–150%-0.01
dust2—21–150%0.05
boulder—11–0100%0.08
fachwerk—11–0100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

470Matches
51%Win rate
1.06Avg K/D
75.5ADR
45%Headshot %

Clutches & streaks

40%1v1 clutch win
29%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage10153%1.0615.1
Ancient7853%1.0515.1
Nuke7858%1.0514.5
Dust26847%1.0413.7
Anubis4443%0.9916.3
Inferno3253%1.3116.1
Overpass2854%1.1414.1
Cache2532%0.9314.6

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.

20.7%Headshot accuracy
30.9%Accuracy (enemy spotted)
32.4%Spray accuracy
75.5%Counter-strafing
11.4°Preaim
612msReaction time
27.9%T opening success
39.7%CT opening success
0.29Enemies flashed / flash
0.4%Flash assists
8.50HE damage / grenade
3.11Flashes / 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 0.2898 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 27.946% — below the 40% mark we flag

Spend your practice time on Ancient

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

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–130.0515%10 Oct →
nuke16–12-0.0229%10 Oct →
nuke5–130.0615%3 Oct →
cache6–130.0213%26 Sept →
ancient8–13-0.0325%25 Sept →
inferno8–8-0.0829%25 Sept →
nuke9–50.0826%25 Sept →
inferno7–9-0.1212%24 Sept →
nuke3–9-0.1314%24 Sept →
anubis13–8-0.0520%20 Sept →
anubis13–5-0.0517%18 Sept →
cache10–130.0025%18 Sept →
anubis13–80.0723%15 Sept →
nuke13–110.0216%15 Sept →
italy6–13-0.0220%11 Sept →
nuke8–13-0.0520%10 Sept →
vertigo1–13-0.1218%29 Aug →
anubis11–130.0628%29 Aug →
inferno8–80.0415%29 Aug →
vertigo7–13-0.0223%28 Aug →
mirage13–40.0719%28 Aug →
vertigo7–13-0.0913%25 Aug →
ancient4–13-0.058%25 Aug →
inferno8–80.0541%23 Aug →
nuke13–5-0.0222%22 Aug →
cache13–8-0.0338%22 Aug →
inferno4–13-0.0321%22 Aug →
inferno4–9-0.1024%22 Aug →
inferno3–9-0.2114%22 Aug →
inferno5–9-0.0319%20 Aug →
inferno6–9-0.0338%20 Aug →
inferno9–20.0718%20 Aug →
inferno7–13-0.0418%15 Aug →
mirage13–90.0315%14 Aug →
cache13–10.0415%14 Aug →
inferno2–130.0419%14 Aug →
anubis9–13-0.0515%14 Aug →
dust213–90.0234%14 Aug →
inferno9–40.0617%14 Aug →
nuke13–30.0135%10 Aug →
cache11–130.0018%10 Aug →
anubis13–40.0216%10 Aug →
nuke7–130.0916%8 Aug →
boulder13–00.0816%8 Aug →
italy13–3-0.0120%8 Aug →
cache15–150.0310%7 Aug →
nuke1–130.0121%6 Aug →
inferno9–50.1213%6 Aug →
nuke13–90.0515%6 Aug →
inferno8–80.0617%6 Aug →
nuke13–50.1217%6 Aug →
anubis13–80.018%6 Aug →
ancient7–13-0.0022%6 Aug →
nuke5–13-0.0711%6 Aug →
anubis13–80.0112%5 Aug →
inferno13–7-0.019%5 Aug →
mirage16–130.0321%5 Aug →
ancient13–8-0.0116%5 Aug →
anubis10–130.0819%4 Aug →
inferno9–50.0224%3 Aug →
inferno9–30.1238%3 Aug →
mirage13–40.0920%3 Aug →
mirage13–11-0.0115%2 Aug →
ancient10–13-0.079%2 Aug →
cache4–13-0.0018%2 Aug →
nuke13–80.0129%2 Aug →
anubis13–110.0210%2 Aug →
anubis13–110.0324%31 Jul →
nuke11–13-0.105%31 Jul →
inferno13–80.0522%31 Jul →
ancient9–13-0.0127%31 Jul →
ancient1–13-0.0227%30 Jul →
nuke10–13-0.0424%30 Jul →
nuke13–80.0920%29 Jul →
inferno8–80.033%29 Jul →
nuke3–10-0.0325%29 Jul →
inferno8–130.0620%24 Jul →
nuke8–13-0.0418%24 Jul →
dust212–120.0931%23 Jul →
ancient7–13-0.0221%22 Jul →
mirage3–13-0.0926%22 Jul →
inferno5–90.0119%22 Jul →
anubis13–40.0220%22 Jul →
anubis16–130.0117%21 Jul →
mirage7–13-0.0122%21 Jul →
fachwerk13–5-0.0114%21 Jul →
inferno7–9-0.0528%18 Jul →
inferno9–10.0421%18 Jul →
inferno9–50.1023%18 Jul →
inferno5–130.0015%18 Jul →
ancient11–130.0316%17 Jul →
cache7–13-0.0412%16 Jul →
anubis3–13-0.019%16 Jul →
mirage8–13-0.0717%16 Jul →
ancient8–13-0.0418%15 Jul →
ancient13–160.0017%14 Jul →
ancient6–13-0.0617%13 Jul →
nuke8–13-0.0224%12 Jul →
cache13–110.0320%12 Jul →
cache13–4-0.0116%11 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 →

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