dakula

dakula — CS2 Stats

MG76561198336541585[U:1:376275857]Steam profile ↗✓ No bans

781Tracked matches66%Win rate2020Tracked since
812Hours in CS
CSDB Rating5.6 SolidSupport
Premier CS Rating21,828Top 50% of 215,386 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)
CSDB Leaderboard#59292 of 261547 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 21,828 → 21,828
+3Tracked matches · now 781
+1.2ppWin rate · 64.3% → 65.5%

Rating over time

Premier CS Rating: 21,828 -1,159 6 Jun – 24 Oct · 14 days played
20,62022,987peak 22,9876 Jun24 Oct
23,110Peak Premier in tracked matches
38Days played since 2026-06-01

Premier CS Rating

  • 1,159 below peak (22,987)
  • 0 over 30 days · steady
  • Next: Red band at 25,000 — 3,172 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-05
  • Purple band first seen 2026-09-05

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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate39.5%50.9%
Shot accuracy12.6%13.7%
Kill/death ratio1.171.09
Match win rate49.3%48.4%

Share this profile

CSDB.GGdakulaFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER21,828 · Pink 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

Aim65
Positioning44
Utility56

0–100 skill scores via Leetify.

Recent form

HOT56–37–7Last 10056%Win rateWLWWWWWLWW

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · +3.6pp headshot accuracy · −91ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 570ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 529ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 574ms

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: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim6.5
Utility5.6
Positioning4.4
Opening Duels0.6
Clutch3.2

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

b1t

Plays most like b1t 82% 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

Reaction time. 576ms 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

Aim6.5
Positioning4.4
Utility5.6
Mechanics4.8
Opening Duels0.9
Win Impact10.0

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time576ms−20ms
first ⅓ avg 595ms → last ⅓ avg 576ms
Headshot accuracy14.8%−1.0%
first ⅓ avg 15.9% → last ⅓ avg 14.8%

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

0.19Best match rating · 8–13 · nuke, 21 Jul →
38%Best headshot accuracy · 2–13 · mirage, 22 Jul →
406msFastest reaction time · 13–6 · dust2, 22 Oct →
13–0Biggest win · mirage, 2 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–8In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 80% over 10nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA2616–1062%0.03
infernoB2010–1050%0.03
cacheA1610–663%0.01
dust2A106–460%0.01
ancientS108–280%0.05
anubisC104–640%-0.00
nukeD51–420%0.03
overpass—21–150%0.07
vertigo—10–10%0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,717Lifetime kills
1.17K/D · Top 50% of Level 10 players
1,916Matches
49.3%Match win rate · Top 50% of Level 10 players
39.5%Headshot %
12.6%Shot accuracy
5,457MVPs
812Hours (in match)
2,278Bombs planted
690Bombs defused

Most-used weapons

Lifetime map wins

4,980inferno
2,352dust2
1,492vertigo
521nuke
179train
141cbble
53lake
9office

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

Faceit stats

Combat

271Matches
56%Win rate
1.18Avg K/D
79.1ADR
39%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage9152%1.1215.4
Inferno5463%1.3219.3
Anubis3253%1.0816.6
Ancient3060%1.1718.1
Vertigo2374%1.4618.6
Dust22040%0.9914.2
Nuke560%1.5019.8
Overpass450%1.0414.8

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.

15.2%Headshot accuracy
38.6%Accuracy (enemy spotted)
42.5%Spray accuracy
71.5%Counter-strafing
11.7°Preaim
576msReaction time
30.9%T opening success
36.6%CT opening success
0.58Enemies flashed / flash
6.1%Flash assists
8.08HE damage / grenade
8.22Flashes / 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. 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 30.8799% — below the 40% mark we flag

Spend your practice time on Nuke

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–60.1110%28 Oct →
mirage10–13-0.0116%28 Oct →
inferno13–60.0721%27 Oct →
dust213–60.0216%22 Oct →
cache13–8-0.0631%22 Oct →
mirage13–100.0316%21 Oct →
inferno13–90.0319%20 Oct →
ancient3–130.0711%19 Oct →
mirage13–100.0125%24 Aug →
anubis13–10-0.0115%24 Aug →
ancient13–70.0314%24 Aug →
ancient13–60.097%20 Aug →
mirage13–100.0513%20 Aug →
dust213–10-0.0314%16 Aug →
inferno7–130.0323%16 Aug →
dust213–7-0.0318%7 Aug →
mirage15–150.0310%7 Aug →
mirage7–130.0313%3 Aug →
inferno9–130.0514%3 Aug →
mirage8–130.0719%2 Aug →
mirage7–13-0.0410%2 Aug →
cache13–110.028%2 Aug →
inferno8–13-0.027%2 Aug →
mirage13–00.0316%2 Aug →
inferno6–13-0.068%1 Aug →
mirage13–60.0228%1 Aug →
ancient13–6-0.0612%1 Aug →
cache3–13-0.0421%28 Jul →
mirage13–110.0217%28 Jul →
inferno13–90.039%28 Jul →
ancient11–130.0113%27 Jul →
cache12–12-0.067%27 Jul →
mirage13–70.0711%27 Jul →
dust29–130.0920%27 Jul →
cache9–130.0712%27 Jul →
ancient13–90.0913%26 Jul →
inferno13–70.0916%26 Jul →
inferno11–130.0713%26 Jul →
anubis10–130.0112%22 Jul →
nuke4–13-0.045%22 Jul →
cache13–3-0.0313%22 Jul →
mirage2–13-0.0338%22 Jul →
inferno13–30.1217%22 Jul →
cache13–60.0110%22 Jul →
vertigo8–130.0526%21 Jul →
mirage13–20.089%21 Jul →
nuke8–130.1922%21 Jul →
inferno12–120.019%21 Jul →
nuke13–110.0614%21 Jul →
anubis11–130.0216%20 Jul →
dust213–40.0711%20 Jul →
ancient13–50.0310%20 Jul →
cache13–9-0.0911%20 Jul →
inferno13–110.0914%20 Jul →
cache6–130.0511%19 Jul →
dust213–100.0416%19 Jul →
cache11–13-0.0011%16 Jul →
mirage13–80.026%16 Jul →
cache13–70.1219%16 Jul →
ancient13–60.0916%15 Jul →
anubis5–13-0.046%15 Jul →
inferno13–90.0520%15 Jul →
dust27–13-0.044%15 Jul →
mirage13–50.0720%15 Jul →
anubis13–5-0.0211%14 Jul →
inferno13–90.0116%14 Jul →
cache13–90.1122%14 Jul →
mirage13–9-0.0112%14 Jul →
mirage13–110.0014%13 Jul →
dust29–13-0.049%13 Jul →
inferno9–130.0027%13 Jul →
inferno11–130.0221%10 Jul →
cache13–20.0324%10 Jul →
mirage12–12-0.0214%10 Jul →
mirage10–130.0025%9 Jul →
cache13–110.0112%9 Jul →
mirage5–130.0423%1 Jul →
dust211–13-0.0123%27 Jun →
anubis10–130.0314%27 Jun →
ancient13–110.0311%27 Jun →
mirage13–100.0815%16 Jun →
anubis4–130.0117%16 Jun →
inferno13–80.0516%15 Jun →
nuke4–13-0.0422%13 Jun →
ancient13–10.0816%13 Jun →
inferno7–13-0.0511%13 Jun →
anubis13–90.0213%12 Jun →
anubis13–10-0.0212%11 Jun →
cache13–80.0215%9 Jun →
mirage13–60.0515%9 Jun →
overpass13–30.0218%9 Jun →
inferno12–120.0027%9 Jun →
nuke5–13-0.0317%9 Jun →
anubis11–13-0.008%6 Jun →
inferno13–100.0113%6 Jun →
dust213–70.0411%6 Jun →
mirage13–4-0.0113%5 Jun →
mirage11–130.0213%2 Jun →
cache12–120.029%1 Jun →
overpass12–120.1216%1 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 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.