donny

donny — CS2 Stats

76561199887807243[U:1:1927541515]Steam profile ↗✓ No bans

90Tracked matches47%Win rate2025Tracked since
33Hours in CS
CSDB Rating4.3 DevelopingPositional Player
Ladder ranks via Leetify

Performance scores

Aim52
Positioning42
Utility12

0–100 skill scores via Leetify.

Recent form

STEADY38–47–4Last 8943%Win rateLWLWLLLWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +3.2pp headshot accuracy · −105ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 620ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 663ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 16%
  • Avg reaction 716ms

Newest first, from the last 89 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 (+1.9 against its own average).

Aim5.2
Utility1.2
Positioning4.2
Opening Duels1.5

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

donk

Plays most like donk 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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. 766ms 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

Aim5.2
Positioning4.2
Utility1.2
Mechanics8.0
Opening Duels1.5
Win Impact3.9

Composite 4.3/10 (Developing), 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-0.06−0.02
first ⅓ avg -0.04 → last ⅓ avg -0.06
Reaction time731ms−89ms
first ⅓ avg 820ms → last ⅓ avg 731ms
Headshot accuracy16.3%+0.1%
first ⅓ avg 16.2% → last ⅓ avg 16.3%

Rolling 5-match average across the last 89 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.18Best match rating · 9–0 · inferno, 6 Jun →
50%Best headshot accuracy · 3–1 · nuke, 23 Jun →
406msFastest reaction time · 4–10 · dust2, 29 Jul →
13–1Biggest win · mirage, 9 Jul →

Across the last 89 tracked matches.

Highlights

4Longest win streak
7–8In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 71% over 7cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC2810–1836%-0.06
dust2C146–843%-0.06
mirageB147–750%-0.05
nukeC73–443%-0.01
ancientS75–271%-0.02
vertigoA74–357%-0.03
cacheD61–517%-0.05
poseidon—20–20%-0.17
overpass—22–0100%-0.01
train—10–10%-0.11
agency—10–10%-0.09

Across the last 89 tracked matches.

Lifetime stats

1,133Lifetime kills
0.65K/D
112Matches
43.8%Match win rate
49.2%Headshot % · Top 25% of tracked players
0.0%Shot accuracy
185MVPs
33Hours (in match)
50Bombs planted
6Bombs defused

Most-used weapons

Lifetime map wins

233inferno
203dust2
63vertigo
46nuke
10train

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

Skill profile

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

15.0%Headshot accuracy
33.9%Accuracy (enemy spotted)
35.5%Spray accuracy
86.1%Counter-strafing
9.6°Preaim
766msReaction time
41.1%T opening success
31.2%CT opening success
0.31Enemies flashed / flash
1.8%Flash assists
6.41HE damage / grenade
1.28Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.988% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 765.8715ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.3137 — below the 0.5 mark we flag

    Grenade Lineups →
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust24–10-0.1133%29 Jul →
nuke13–10-0.0126%15 Jul →
inferno1–3-0.0122%15 Jul →
inferno9–70.0614%14 Jul →
mirage4–13-0.085%11 Jul →
mirage9–13-0.066%11 Jul →
ancient1–13-0.0721%10 Jul →
mirage13–8-0.0516%10 Jul →
inferno4–9-0.1424%10 Jul →
mirage13–11-0.0710%9 Jul →
inferno1–9-0.2325%9 Jul →
nuke4–13-0.0011%9 Jul →
dust23–13-0.0821%9 Jul →
dust27–13-0.0316%9 Jul →
mirage1–13-0.0913%9 Jul →
nuke4–13-0.018%9 Jul →
mirage13–1-0.0317%9 Jul →
mirage3–13-0.0612%5 Jul →
inferno13–6-0.0311%4 Jul →
dust213–11-0.0513%1 Jul →
mirage13–9-0.046%1 Jul →
dust211–13-0.1017%30 Jun →
mirage13–3-0.0422%30 Jun →
mirage11–2-0.060%23 Jun →
cache11–13-0.0214%23 Jun →
inferno5–13-0.0411%23 Jun →
dust28–13-0.0615%23 Jun →
nuke3–1-0.0150%23 Jun →
inferno4–9-0.0713%22 Jun →
inferno6–9-0.0521%22 Jun →
nuke3–9-0.0722%22 Jun →
inferno7–9-0.0418%22 Jun →
ancient6–50.0110%21 Jun →
dust213–6-0.0611%21 Jun →
mirage7–13-0.0431%21 Jun →
inferno13–4-0.0110%21 Jun →
inferno7–90.0619%21 Jun →
poseidon2–9-0.2625%21 Jun →
cache13–8-0.0131%21 Jun →
inferno10–13-0.146%21 Jun →
mirage11–13-0.0514%21 Jun →
inferno4–7-0.1212%14 Jun →
nuke0–50.029%12 Jun →
cache6–11-0.0412%12 Jun →
mirage1–13-0.0615%11 Jun →
ancient13–10.0111%11 Jun →
dust29–130.0320%11 Jun →
inferno13–30.0025%11 Jun →
inferno3–9-0.270%10 Jun →
inferno9–60.0528%10 Jun →
inferno1–9-0.150%10 Jun →
inferno8–8-0.1618%10 Jun →
inferno9–4-0.0217%10 Jun →
poseidon7–9-0.0745%10 Jun →
inferno9–7-0.125%10 Jun →
vertigo3–13-0.084%9 Jun →
inferno12–12-0.0624%9 Jun →
inferno5–13-0.0733%9 Jun →
inferno8–8-0.0311%8 Jun →
vertigo1–8-0.0513%6 Jun →
overpass13–80.008%6 Jun →
vertigo3–00.010%6 Jun →
mirage13–1-0.0231%6 Jun →
inferno9–00.1823%6 Jun →
inferno8–8-0.0623%6 Jun →
dust20–13-0.108%6 Jun →
cache2–13-0.0733%6 Jun →
ancient13–6-0.068%6 Jun →
ancient13–5-0.0317%6 Jun →
overpass13–6-0.0215%6 Jun →
dust213–8-0.1121%6 Jun →
inferno3–9-0.1512%6 Jun →
inferno9–10.0211%6 Jun →
vertigo13–40.0813%5 Jun →
train10–13-0.1112%4 Jun →
ancient13–70.0312%4 Jun →
nuke13–9-0.0120%4 Jun →
vertigo13–6-0.0514%4 Jun →
ancient4–13-0.028%4 Jun →
dust213–8-0.0613%4 Jun →
vertigo6–13-0.044%4 Jun →
vertigo13–6-0.0610%4 Jun →
cache11–13-0.0919%3 Jun →
cache1–12-0.0517%2 Jun →
inferno13–30.0031%2 Jun →
dust213–6-0.0728%2 Jun →
dust29–13-0.0639%29 May →
dust213–11-0.0421%29 May →
agency5–13-0.090%22 Dec →

Match data via Leetify.

Recent teammates

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

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