DonDaDa

DonDaDa — CS2 Stats

HM76561199246275973[U:1:1286010245]Steam profile ↗✓ No bans

609Tracked matches31%Win rate2022Tracked since
3,391Hours in CS9Hrs last 2 wks
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating16,119Purple band · top ~23.9% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,119 +4,912 20 Apr – 13 Oct · 34 days played
9,89018,708peak 18,70820 Apr13 Oct
18,708Peak Premier in tracked matches
40Days played since 2026-04-16

Premier CS Rating

  • 2,589 below peak (18,708)
  • -1,904 over 30 days · declining
  • +4,768 over 90 days
  • Next: Pink band at 20,000 — 3,881 to go
  • Reached: Purple band · Blue band · Light Blue band

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 2 among CSDB-tracked players (n=5,991), 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 2 medianLevel 3 medianvs Level 3
Headshot rate41.9%41.3%41.8%meets
Shot accuracy12.7%12.7%12.2%above
Kill/death ratio0.720.950.980.25 short
Match win rate39.3%42.6%43.3%4.0% short

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDonDaDaFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER16,119 · Purple bandcsdb.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

Aim63
Positioning51
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY43–50–7Last 10043%Win rateLLWLWLWLTW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · −2.2pp headshot accuracy · −67ms reaction

Win rate up 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 533ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 553ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 586ms

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 against its own average).

Aim6.3
Utility3.8
Positioning5.1
Opening Duels3.1
Clutch0.4

Strong T-side opener

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

s1mple

Plays most like s1mple 93% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 68% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 68% on T to 30% on CT — first contacts on the defending side are being lost.

Reaction time. 581ms 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

Aim6.3
Positioning5.1
Utility3.8
Mechanics5.7
Opening Duels4.7
Win Impact0.0

Composite 4.8/10 (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 rating0.00−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time582ms−76ms
first ⅓ avg 658ms → last ⅓ avg 582ms
Headshot accuracy24.1%+0.7%
first ⅓ avg 23.4% → last ⅓ avg 24.1%

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

0.20Best match rating · 13–6 · mirage, 22 Apr →
47%Best headshot accuracy · 13–1 · mirage, 29 Jul →
313msFastest reaction time · 1–9 · mirage, 29 Jul →
13–1Biggest win · mirage, 29 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
2–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 50% over 36anubisWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB3618–1850%0.02
dust2C167–944%-0.01
nukeC146–843%0.03
anubisD123–925%0.01
infernoC104–640%0.02
ancientC83–538%0.02
cache—32–167%-0.01
overpass—10–10%0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

77,256Lifetime kills
0.72K/D
4,826Matches
39.3%Match win rate
41.9%Headshot % · Top 50% of Level 2 players
12.7%Shot accuracy
10,196MVPs
2,673Hours (in match)
1,150Bombs planted
3,348Bombs defused

Most-used weapons

AK-4724,241
AWP10,272
SSG 081,836
MP91,140
Knife1,101

Lifetime map wins

6,729inferno
5,922vertigo
5,473nuke
3,723dust2
3,018train
754cbble
301lake
34office

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

Faceit stats

Combat

147Matches
42%Win rate
0.87Avg K/D
72.3ADR
45%Headshot %

Clutches & streaks

22%1v1 clutch win
15%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2227%1.0313.6
Vertigo1942%0.9915.2
Anubis1362%0.8311.6
Ancient1164%1.0812.7
Dust2520%0.8312.0
Inferno333%0.748.7
Nuke10%1.2922.0

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.

24.2%Headshot accuracy
27.0%Accuracy (enemy spotted)
27.9%Spray accuracy
75.8%Counter-strafing
7.8°Preaim
581msReaction time
67.9%T opening success
29.5%CT opening success
0.42Enemies flashed / flash
4.9%Flash assists
7.72HE damage / grenade
7.54Flashes / 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 0.4197 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 29.5455% — 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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–130.0628%13 Oct →
mirage5–130.0330%13 Oct →
nuke13–50.0526%13 Oct →
anubis9–13-0.0026%13 Oct →
mirage13–100.0116%12 Oct →
dust28–13-0.0021%9 Oct →
inferno13–80.0225%9 Oct →
anubis9–13-0.0215%9 Oct →
anubis15–150.0324%8 Oct →
ancient13–70.1024%8 Oct →
cache13–80.0222%3 Oct →
anubis10–13-0.0027%25 Sept →
nuke9–13-0.0431%25 Sept →
mirage4–13-0.0913%25 Sept →
dust210–13-0.0130%25 Sept →
dust22–13-0.0422%25 Sept →
nuke8–80.0119%25 Sept →
mirage6–130.0329%24 Sept →
anubis3–130.0129%24 Sept →
anubis1–130.0336%24 Sept →
anubis10–13-0.0944%23 Sept →
nuke5–13-0.0424%23 Sept →
nuke10–13-0.0120%20 Sept →
mirage8–13-0.0029%20 Sept →
ancient3–13-0.0318%18 Sept →
nuke13–40.1029%18 Sept →
inferno9–13-0.0015%18 Sept →
dust213–8-0.0614%15 Sept →
cache13–160.0012%13 Sept →
mirage13–40.0528%13 Sept →
mirage13–90.0128%12 Sept →
dust29–13-0.0629%12 Sept →
anubis12–160.0512%12 Sept →
inferno9–13-0.0018%1 Sept →
mirage11–130.0437%1 Sept →
ancient15–15-0.0326%22 Aug →
anubis5–13-0.0116%13 Aug →
cache16–13-0.0536%30 Jul →
mirage6–13-0.0523%30 Jul →
mirage13–70.0315%30 Jul →
mirage13–10.0347%29 Jul →
mirage1–9-0.0833%29 Jul →
dust213–60.0923%29 Jul →
inferno10–130.0339%25 Jul →
ancient16–13-0.0322%25 Jul →
anubis13–10-0.0022%25 Jul →
dust213–60.0415%15 Jul →
nuke13–20.1728%15 Jul →
ancient15–15-0.0216%10 Jul →
dust213–40.0739%10 Jul →
anubis13–90.0429%9 Jul →
mirage13–4-0.0319%6 Jul →
mirage13–7-0.0817%6 Jul →
ancient4–130.0339%5 Jul →
dust27–13-0.0123%5 Jul →
mirage13–80.0324%5 Jul →
mirage15–15-0.0429%5 Jul →
overpass7–130.0526%5 Jul →
nuke13–90.0320%4 Jul →
mirage8–130.0411%4 Jul →
nuke13–50.0432%4 Jul →
mirage13–40.0238%2 Jul →
mirage8–130.1133%1 Jul →
inferno13–110.0126%1 Jul →
mirage13–40.1029%1 Jul →
mirage13–30.1038%17 Jun →
mirage15–15-0.0021%17 Jun →
anubis13–80.0624%17 Jun →
mirage11–130.0720%28 May →
inferno5–13-0.0221%26 May →
mirage4–13-0.0414%26 May →
dust213–8-0.0028%26 May →
inferno10–13-0.0218%25 May →
mirage8–130.0124%22 May →
dust29–13-0.0416%22 May →
mirage9–13-0.0716%22 May →
inferno13–9-0.0321%22 May →
ancient13–50.0226%22 May →
nuke10–130.0314%21 May →
mirage10–130.0017%21 May →
mirage13–10.1433%5 May →
mirage11–130.0325%5 May →
nuke13–3-0.0035%5 May →
dust213–3-0.0115%5 May →
nuke6–13-0.0126%5 May →
dust211–130.0124%2 May →
mirage13–70.0330%28 Apr →
mirage13–110.049%28 Apr →
mirage13–80.1025%28 Apr →
mirage13–8-0.0722%28 Apr →
ancient15–150.0823%27 Apr →
dust213–5-0.0710%27 Apr →
inferno5–13-0.0226%27 Apr →
mirage13–60.2044%22 Apr →
dust27–13-0.0524%22 Apr →
nuke4–13-0.0136%22 Apr →
dust24–10-0.0320%22 Apr →
mirage13–70.0520%22 Apr →
mirage7–13-0.0332%20 Apr →
inferno9–40.2029%16 Apr →

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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