dafuck

dafuck — CS2 Stats

FI76561198202238404[U:1:241972676]Steam profile ↗✓ No bans

459Tracked matches47%Win rate2023Tracked since
1,255Hours in CS1Hrs last 2 wks
CSDB Rating4.2 DevelopingPositional Player
CSDB Leaderboard#93192 of 251926 tracked
WingmanGold Nova I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 19,219 +7,615 7 Jun – 15 Jan · 23 days played
11,60419,219peak 19,2197 Jun15 Jan
19,445Peak Premier in tracked matches
40Days played since 2025-06-03

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

Performance scores

Aim37
Positioning54
Utility51

0–100 skill scores via Leetify.

Recent form

COLD49–47–4Last 10049%Win rateLLLLWLLLLL

Last 10 vs previous 10: −80pp win rate · −0.02 avg rating · +5.6pp headshot accuracy · +1ms reaction

Win rate down 80pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 606ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 618ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 618ms

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 (+1 against its own average).

Aim3.7
Utility5.1
Positioning5.4
Opening Duels2.6

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

NiKo

Plays most like NiKo 64% 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

Areas to improve

Reaction time. 630ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.7
Positioning5.4
Utility5.1
Mechanics4.0
Opening Duels2.7
Win Impact3.9

Composite 4.2/10 (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-0.02+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time630ms+5ms
first ⅓ avg 625ms → last ⅓ avg 630ms
Headshot accuracy15.3%+2.4%
first ⅓ avg 13.0% → last ⅓ avg 15.3%

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

0.08Best match rating · 13–0 · inferno, 13 Nov →
44%Best headshot accuracy · 13–6 · inferno, 11 Sept →
391msFastest reaction time · 5–0 · overpass, 16 Jul →
13–0Biggest win · inferno, 13 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
9–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

overpassBest map · 70% over 10ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
nukeA2112–957%-0.03
infernoB2110–1148%-0.02
dust2B199–1047%-0.02
mirageB126–650%-0.02
overpassS107–370%-0.01
ancientC83–538%-0.01
train—30–30%-0.02
golden—10–10%-0.01
rooftop—11–0100%-0.01
dogtown—10–10%-0.03
vertigo—10–10%-0.01
grail—11–0100%0.05
anubis—10–10%-0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,455Lifetime kills
0.97K/D
1,689Matches
44.6%Match win rate
35.4%Headshot %
13.8%Shot accuracy · Top 50% of tracked players
2,970MVPs
652Hours (in match)
998Bombs planted
334Bombs defused

Most-used weapons

Lifetime map wins

1,889inferno
1,832dust2
1,075nuke
665train
540cbble
285vertigo
111office
40militia

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.

15.5%Headshot accuracy
29.9%Accuracy (enemy spotted)
35.3%Spray accuracy
68.1%Counter-strafing
12.0°Preaim
630msReaction time
46.9%T opening success
34.7%CT opening success
0.56Enemies flashed / flash
3.3%Flash assists
6.61HE damage / grenade
9.66Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0361° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Ancient

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient4–13-0.0815%7 Oct →
nuke6–13-0.067%7 Oct →
dust25–13-0.0623%25 May →
inferno8–13-0.0629%13 May →
nuke13–3-0.0111%21 Feb →
nuke6–13-0.0423%21 Feb →
dust214–160.0121%12 Feb →
inferno13–16-0.008%5 Feb →
inferno11–130.0217%1 Feb →
mirage7–13-0.0231%28 Jan →
ancient13–8-0.019%28 Jan →
mirage13–110.0212%28 Jan →
nuke16–12-0.058%22 Jan →
inferno13–7-0.0520%22 Jan →
inferno9–13-0.0821%15 Jan →
ancient13–60.0313%15 Jan →
nuke13–9-0.0417%15 Jan →
dust216–14-0.0510%11 Jan →
nuke13–80.068%11 Jan →
inferno16–120.039%11 Jan →
overpass13–30.018%10 Jan →
ancient6–13-0.0115%10 Jan →
golden10–13-0.0122%10 Jan →
overpass10–13-0.0110%8 Jan →
inferno13–9-0.028%8 Jan →
overpass9–130.0216%6 Jan →
dust213–40.0135%6 Jan →
nuke11–13-0.0518%6 Jan →
inferno5–13-0.0511%6 Jan →
overpass6–1-0.0515%6 Jan →
inferno13–10-0.089%29 Dec →
ancient13–9-0.0216%29 Dec →
ancient10–13-0.0610%22 Dec →
inferno10–130.0211%22 Dec →
nuke13–50.0114%22 Dec →
dust213–30.0226%22 Dec →
dust216–120.0117%16 Dec →
inferno10–13-0.038%16 Dec →
rooftop9–3-0.0114%16 Dec →
mirage8–13-0.0311%15 Dec →
dust25–13-0.0221%15 Dec →
ancient11–13-0.0216%15 Dec →
nuke13–8-0.0711%15 Dec →
ancient15–150.0722%15 Dec →
mirage10–130.0314%15 Dec →
mirage13–70.0118%5 Dec →
dust215–150.0012%5 Dec →
nuke11–13-0.0417%1 Dec →
dust26–13-0.0510%28 Nov →
mirage13–8-0.0310%28 Nov →
inferno13–7-0.0414%28 Nov →
nuke11–13-0.0513%28 Nov →
nuke13–40.0017%28 Nov →
dust26–13-0.0317%25 Nov →
overpass13–60.0617%25 Nov →
dust215–15-0.0920%13 Nov →
inferno13–00.086%13 Nov →
train8–13-0.0322%13 Nov →
inferno15–150.0111%12 Nov →
nuke13–00.0715%12 Nov →
dust210–13-0.0124%12 Nov →
overpass13–5-0.0414%6 Nov →
inferno13–11-0.0329%1 Nov →
dust213–8-0.0718%1 Nov →
nuke7–13-0.0910%1 Nov →
mirage13–8-0.0310%1 Nov →
dust213–60.0816%26 Oct →
dust213–1-0.024%21 Oct →
nuke2–13-0.085%21 Oct →
nuke13–11-0.055%19 Sept →
mirage7–13-0.0110%19 Sept →
mirage16–13-0.079%19 Sept →
overpass5–13-0.0417%14 Sept →
inferno10–13-0.026%14 Sept →
dust24–13-0.0816%14 Sept →
dust213–110.0611%14 Sept →
dust213–110.0312%11 Sept →
inferno13–60.0144%11 Sept →
train8–13-0.0216%29 Aug →
inferno13–40.0118%29 Aug →
nuke13–5-0.059%29 Aug →
dust25–13-0.0613%18 Aug →
nuke13–3-0.0316%3 Aug →
overpass16–14-0.036%3 Aug →
mirage4–13-0.0617%3 Aug →
train4–13-0.0212%17 Jul →
overpass13–9-0.0217%17 Jul →
inferno8–13-0.078%16 Jul →
overpass5–00.010%16 Jul →
nuke13–11-0.0117%16 Jul →
inferno7–9-0.1213%16 Jul →
dogtown5–9-0.0336%16 Jul →
nuke1–13-0.0610%12 Jul →
mirage6–13-0.0016%12 Jul →
vertigo11–13-0.0125%12 Jul →
grail13–110.0513%6 Jul →
inferno13–100.012%6 Jul →
nuke10–13-0.0519%7 Jun →
mirage13–100.018%7 Jun →
anubis3–13-0.090%3 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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