Dak

Dak — CS2 Stats

AU76561198815049171[U:1:854783443]Steam profile ↗

967Tracked matches52%Win rate2020Tracked since
624Hours in CS
CSDB Rating4.7 Developing
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGDakFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim47
Positioning46
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY51454Last 10051%Win rateWLTWLLWLWW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

Aim4.7
Aggression4.2
Utility3.8
Positioning4.6
Opening Duels0.8
Clutch1.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 79% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 642ms 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

Aim4.7
Positioning4.6
Utility3.8
Mechanics7.6
Opening Duels0.8
Win Impact5.6

Composite 4.7/10 (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-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time642ms−5ms
first ⅓ avg 648ms → last ⅓ avg 642ms
Headshot accuracy17.4%−0.2%
first ⅓ avg 17.6% → last ⅓ avg 17.4%

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.

Highlights

0.16Best rating — train 13–8
130Biggest win — anubis
7Longest win streak
107In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 75% over 16infernoWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB178947%-0.02
nukeS1612475%0.01
cacheC135838%-0.00
dust2A127558%-0.01
ancientB105550%-0.00
trainB63350%0.05
wardenA53260%-0.03
infernoD5050%-0.03
vertigoA53260%-0.02
overpassC52340%0.00
office21150%-0.05
stronghold1010%-0.05
anubis110100%0.03
palacio1010%-0.06
grail110100%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,908Lifetime kills
1.11K/D · Top 50% of tracked players
1,666Matches
48.6%Match win rate · Top 50% of tracked players
44.8%Headshot %
7.5%Shot accuracy
4,393MVPs
624Hours (in match)
1,425Bombs planted
454Bombs defused

Most-used weapons

Lifetime map wins

2,455inferno
2,093nuke
1,507dust2
945vertigo
711train
491office
60italy
47cbble

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

Faceit stats

Combat

53Matches
51%Win rate
0.89Avg K/D
88.2ADR
42%Headshot %

Clutches & streaks

25%1v1 clutch win
9%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno617%0.9013.7
Nuke367%1.2419.7
Anubis20%0.609.0
Ancient10%1.1227.0
Vertigo1100%1.4021.0
Mirage1100%1.0617.0

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.

17.2%Headshot accuracy
29.0%Accuracy (enemy spotted)
29.4%Spray accuracy
84.4%Counter-strafing
11.5°Preaim
642msReaction time
36.1%T opening success
30.1%CT opening success
0.47Enemies flashed / flash
6.1%Flash assists
6.26HE damage / grenade
5.59Flashes / 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 0.4713 — 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 36.0868% — below the 40% mark we flag

Spend your practice time on Inferno

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–4-0.0510%13 Jun
cache6–13-0.0117%17 May
cache12–12-0.0113%17 May
cache13–110.0620%17 May
cache11–13-0.0319%3 May
cache9–13-0.0211%3 May
cache13–9-0.0411%3 May
cache5–13-0.0322%1 May
cache13–9-0.0111%1 May
cache5–40.1433%30 Apr
cache10–130.0123%30 Apr
cache7–130.0110%30 Apr
cache3–13-0.0822%30 Apr
nuke4–13-0.0416%23 Apr
nuke13–30.1415%23 Apr
warden12–12-0.0622%13 Mar
warden13–7-0.0028%13 Mar
warden12–2-0.0026%13 Mar
stronghold8–13-0.0512%9 Mar
warden13–40.0715%9 Mar
warden8–13-0.1326%9 Mar
nuke13–60.0713%1 Mar
nuke13–110.0219%1 Mar
nuke13–70.0417%1 Mar
inferno4–13-0.0929%16 Feb
anubis13–00.0318%16 Feb
dust212–12-0.066%16 Feb
nuke13–10.0514%16 Feb
inferno10–13-0.0415%16 Feb
ancient11–13-0.0417%15 Feb
mirage3–13-0.0516%15 Feb
dust213–20.0310%15 Feb
mirage4–13-0.0518%3 Jan
nuke7–13-0.0933%3 Jan
dust213–20.1018%3 Jan
nuke13–11-0.0314%3 Jan
nuke12–12-0.0416%3 Jan
mirage13–1-0.0115%3 Jan
mirage6–13-0.0329%3 Jan
mirage13–20.0418%3 Jan
mirage1–9-0.0813%2 Jan
vertigo6–13-0.0725%2 Jan
mirage13–11-0.0315%2 Jan
ancient13–40.0529%2 Jan
train11–13-0.0117%2 Jan
mirage13–9-0.0328%2 Jan
overpass16–140.0422%2 Jan
mirage10–13-0.0617%1 Jan
train9–130.0220%1 Jan
dust210–13-0.0217%1 Jan
dust213–6-0.0314%1 Jan
inferno9–13-0.0120%5 Dec
ancient8–130.0115%10 Oct
vertigo13–7-0.0417%10 Oct
overpass10–13-0.0217%10 Oct
nuke13–30.018%9 Oct
overpass6–13-0.0016%9 Oct
palacio6–13-0.0617%6 Oct
office4–13-0.0912%6 Oct
dust23–13-0.0119%28 Sept
mirage13–110.0210%28 Sept
vertigo13–2-0.0115%28 Sept
vertigo10–13-0.0110%28 Sept
dust213–70.0825%28 Sept
overpass13–80.0315%28 Sept
overpass10–13-0.0216%28 Sept
train13–10.0441%28 Sept
dust213–110.0241%27 Sept
nuke13–70.0615%27 Sept
vertigo13–40.0520%26 Sept
grail13–9-0.0827%26 Sept
office13–10-0.0114%26 Sept
dust211–13-0.0217%24 Sept
dust213–60.0321%24 Sept
mirage4–130.0122%24 Sept
mirage13–90.0115%20 Sept
ancient7–130.0041%20 Sept
nuke13–7-0.0214%14 Sept
inferno11–13-0.0124%14 Sept
mirage4–13-0.1014%14 Sept
mirage13–40.1025%14 Sept
mirage11–13-0.0116%14 Sept
train13–11-0.0121%14 Sept
train13–80.1617%14 Sept
dust211–13-0.0810%14 Sept
nuke10–13-0.0110%3 Aug
ancient4–13-0.0228%3 Jul
inferno5–13-0.029%25 Jun
train5–130.0818%20 Jun
ancient8–130.0114%19 Jun
ancient13–11-0.0413%19 Jun
ancient13–50.0410%17 Jun
mirage0–13-0.155%16 Jun
nuke13–100.0116%16 Jun
ancient13–7-0.0316%16 Jun
nuke13–9-0.072%16 Jun
ancient13–100.0114%16 Jun
dust213–6-0.1016%12 Jun
nuke13–50.0513%12 Jun
mirage13–60.0226%12 Jun

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 →