donjo9

donjo9 — CS2 Stats

DK76561197960430367[U:1:164639]Steam profile ↗✓ No bans

781Tracked matches50%Win rate2021Tracked since
940Hours in CS
CSDB Rating4.3 DevelopingClutch Specialist
FaceitLevel 4 · 929 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 10,927 +1,190 27 Feb – 29 Jun · 14 days played
9,73711,252peak 11,25227 Feb29 Jun
11,475Peak Premier in tracked matches
929Highest Faceit ELO seen on CSDB
50Days played since 2025-02-16

Faceit ELO

  • At peak — 929
  • Next: Level 5 at 1,051 — 122 to go
  • Reached: Level 4 · Level 3 · Level 2

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

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate57.6%42.7%43.8%above
Shot accuracy17.1%11.2%12.0%above
Kill/death ratio1.140.991.02above
Match win rate36.7%43.9%44.7%8.1% short

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGdonjo9FACEITLevel 4 · 929 ELOSTANDINGTop 81.0% of rankedPEAK ELO929csdb.gg/stats

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Performance scores

Aim53
Positioning44
Utility47

0–100 skill scores via Leetify.

Recent form

COLD48–43–9Last 10048%Win rateTLLWWLLWLL

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −3.0pp headshot accuracy · −87ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 617ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 595ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 638ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.4 against its own average).

Aim5.3
Utility4.7
Positioning4.4
Opening Duels1.5
Clutch5.4

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

Twistzz

Plays most like Twistzz 85% 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

T-side openings. Opening success drops from 42% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 637ms 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
Positioning4.4
Utility4.7
Mechanics6.5
Opening Duels1.5
Win Impact5.0

Composite 4.3/10 (Developing), 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-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time647ms+35ms
first ⅓ avg 612ms → last ⅓ avg 647ms
Headshot accuracy17.8%+4.1%
first ⅓ avg 13.7% → last ⅓ avg 17.8%

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

0.13Best match rating · 2–0 · mirage, 11 May →
34%Best headshot accuracy · 13–8 · overpass, 22 Sept →
469msFastest reaction time · 3–13 · mirage, 28 Mar →
13–1Biggest win · ancient, 10 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
5–13In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 63% over 8anubisWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
ancientB2413–1154%-0.01
nukeA2112–957%-0.00
infernoB157–847%0.00
mirageC146–843%0.00
anubisD103–730%-0.00
overpassA85–363%0.00
train—42–250%-0.03
dust2—20–20%-0.04
agency—10–10%-0.08
vertigo—10–10%-0.14

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,597Lifetime kills
1.14K/D · Top 25% of Level 4 players
2,706Matches
36.7%Match win rate
57.6%Headshot % · Top 10% of Level 4 players
17.1%Shot accuracy · Top 25% of Level 4 players
7,027MVPs
940Hours (in match)
3,767Bombs planted
503Bombs defused

Most-used weapons

AK-4730,575
MP91,959
MAC-101,614
AWP1,417
FAMAS1,012

Lifetime map wins

4,370inferno
3,253nuke
1,846vertigo
950train
887dust2
839cbble
69lake
9assault

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

Faceit stats

Combat

105Matches
50%Win rate
0.82Avg K/D
65.5ADR
44%Headshot %

Clutches & streaks

47%1v1 clutch win
26%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient3345%0.7912.1
Nuke2374%0.8712.9
Inferno1450%0.7412.0
Vertigo1346%0.7813.2
Overpass650%0.9113.8
Mirage520%0.9214.0
Anubis333%0.547.7
Dust220%0.7410.0

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.

18.0%Headshot accuracy
31.8%Accuracy (enemy spotted)
31.2%Spray accuracy
79.4%Counter-strafing
10.8°Preaim
637msReaction time
20.9%T opening success
42.3%CT opening success
0.46Enemies flashed / flash
2.9%Flash assists
8.73HE damage / grenade
5.75Flashes / 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 0.4632 — 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 20.9265% — below the 40% mark we flag

Spend your practice time on Anubis

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno15–15-0.0615%24 Sept →
anubis7–13-0.0611%24 Sept →
nuke11–13-0.0513%17 Mar →
inferno16–13-0.0520%17 Mar →
ancient16–13-0.0518%15 Feb →
anubis10–130.0317%15 Feb →
inferno9–130.0232%30 Oct →
ancient13–90.0520%30 Oct →
inferno10–13-0.0212%23 Oct →
nuke3–13-0.0618%23 Oct →
nuke13–70.0721%22 Sept →
overpass13–80.0334%22 Sept →
inferno8–50.0717%20 Sept →
overpass13–80.0316%4 Sept →
nuke11–130.0120%4 Sept →
ancient22–200.0215%31 Aug →
overpass13–110.0322%31 Aug →
mirage6–130.0114%24 Aug →
overpass7–13-0.0619%24 Aug →
ancient8–13-0.0229%21 Aug →
nuke12–12-0.0525%21 Aug →
overpass15–15-0.0311%19 Aug →
train13–8-0.0122%17 Aug →
overpass13–80.0313%17 Aug →
overpass12–12-0.059%5 Aug →
overpass13–30.054%5 Aug →
nuke13–3-0.019%10 Jul →
ancient13–10.0816%10 Jul →
inferno10–13-0.0621%10 Jul →
mirage14–160.0119%6 Jul →
inferno8–80.0420%3 Jul →
ancient5–13-0.0726%29 Jun →
inferno13–10-0.0410%29 Jun →
nuke4–13-0.033%22 Jun →
inferno13–90.0022%19 Jun →
ancient15–15-0.0313%19 Jun →
ancient13–20.039%15 Jun →
mirage11–130.0421%12 Jun →
ancient13–110.0220%12 Jun →
mirage2–13-0.0914%12 Jun →
agency7–13-0.089%12 Jun →
nuke13–30.0514%8 Jun →
nuke13–6-0.0312%4 Jun →
ancient8–13-0.070%4 Jun →
mirage9–12-0.0717%1 Jun →
anubis8–13-0.0212%29 May →
mirage13–80.0710%29 May →
ancient11–130.0612%29 May →
ancient4–8-0.0915%25 May →
nuke13–50.0320%18 May →
ancient13–9-0.0322%15 May →
mirage13–5-0.0116%15 May →
nuke9–13-0.058%11 May →
mirage2–00.1322%11 May →
mirage11–130.035%8 May →
nuke13–70.0415%8 May →
ancient13–10-0.0324%1 May →
inferno13–10-0.0123%20 Apr →
inferno11–130.0320%20 Apr →
mirage13–30.0719%13 Apr →
mirage13–10.0429%13 Apr →
nuke13–70.0816%10 Apr →
mirage11–13-0.0716%10 Apr →
ancient13–70.0621%10 Apr →
nuke12–12-0.0518%6 Apr →
train9–13-0.0311%6 Apr →
mirage13–10-0.0118%3 Apr →
nuke13–70.0512%3 Apr →
nuke13–2-0.0212%30 Mar →
nuke6–130.0320%30 Mar →
nuke13–6-0.0212%28 Mar →
anubis11–13-0.0115%28 Mar →
mirage3–13-0.0917%28 Mar →
train14–16-0.0615%28 Mar →
vertigo4–9-0.1412%28 Mar →
anubis13–90.0216%27 Mar →
ancient11–13-0.0213%27 Mar →
ancient12–12-0.0113%23 Mar →
dust27–13-0.0412%13 Mar →
anubis5–13-0.029%13 Mar →
inferno4–130.0414%13 Mar →
ancient9–13-0.097%8 Mar →
inferno11–13-0.0210%8 Mar →
ancient13–70.0213%8 Mar →
ancient13–90.0419%8 Mar →
train13–6-0.0221%7 Mar →
nuke13–3-0.065%6 Mar →
anubis16–130.0113%6 Mar →
ancient13–100.0016%27 Feb →
anubis13–110.0510%27 Feb →
ancient13–1-0.025%23 Feb →
ancient15–15-0.0111%22 Feb →
inferno16–120.0316%22 Feb →
anubis5–13-0.0616%22 Feb →
anubis11–130.0118%22 Feb →
nuke9–130.059%22 Feb →
inferno13–90.0921%19 Feb →
ancient10–130.0113%19 Feb →
nuke13–8-0.0016%19 Feb →
dust28–13-0.0422%16 Feb →

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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