Dirk Diggler

Dirk Diggler — CS2 Stats

DE76561197986433899[U:1:26168171]Steam profile ↗✓ No bans

622Tracked matches45%Win rate2020Tracked since
3,640Hours in CS1Hrs last 2 wks
CSDB Rating5.9 SolidSupport
Premier CS Rating16,935Purple band · top ~20.7% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (19 days ago). 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: 16,935 +1,187 12 Aug – 14 Oct · 18 days played
15,00017,639peak 17,63912 Aug14 Oct
17,639Peak Premier in tracked matches
36Days played since 2026-07-08

Premier CS Rating

  • 704 below peak (17,639)
  • +767 over 30 days · improving
  • Next: Pink band at 20,000 — 3,065 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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate53.9%44.8%45.7%above
Shot accuracy10.8%12.4%12.7%1.9% short
Kill/death ratio0.741.031.050.31 short
Match win rate33.6%45.2%45.7%12.1% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDirk DigglerFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER16,935 · 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
Positioning63
Utility63

0–100 skill scores via Leetify.

Recent form

COLD41–56–3Last 10041%Win rateLLLWLLLLTW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −4.3pp headshot accuracy · −4ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 589ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 577ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 579ms

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 (+1.3 against its own average).

Aim6.3
Utility6.3
Positioning6.3
Opening Duels2.9
Clutch4.6

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

iM

Plays most like iM 78% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

CT openings. Opening success drops from 53% on T to 37% on CT — first contacts on the defending side are being lost.

Reaction time. 564ms 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
Positioning6.3
Utility6.3
Mechanics7.0
Opening Duels3.8
Win Impact3.3

Composite 5.9/10 (Solid), 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 time569ms−12ms
first ⅓ avg 582ms → last ⅓ avg 569ms
Headshot accuracy17.6%+1.4%
first ⅓ avg 16.2% → last ⅓ avg 17.6%

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

0.11Best match rating · 9–13 · anubis, 25 Jul →
34%Best headshot accuracy · 9–13 · nuke, 12 Oct →
359msFastest reaction time · 9–13 · inferno, 31 Aug →
13–1Biggest win · cache, 17 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
7–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 67% over 15dust2Weakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC197–1237%-0.02
infernoC166–1038%-0.01
anubisD155–1033%0.00
cacheS1510–567%0.03
nukeD124–833%-0.01
dust2D92–722%-0.01
ancientA74–357%-0.00
vertigo—41–325%0.02
train—32–167%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,909Lifetime kills
0.74K/D
2,830Matches
33.6%Match win rate
53.9%Headshot % · Top 25% of Level 6 players
10.8%Shot accuracy
4,251MVPs
2,797Hours (in match)
2,369Bombs planted
544Bombs defused

Most-used weapons

AK-4727,132
AWP8,410
UMP-452,069
MAC-101,597
MP91,512
SSG 081,401

Lifetime map wins

4,681inferno
3,376dust2
1,696train
1,589nuke
1,580cbble
691vertigo
127lake
49bank

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

Faceit stats

Combat

221Matches
52%Win rate
1.02Avg K/D
77.0ADR
42%Headshot %

Clutches & streaks

43%1v1 clutch win
20%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2365%1.0315.0
Dust21644%1.0513.9
Anubis862%1.0015.5
Nuke520%0.7611.4
Cache475%0.598.3
Inferno367%1.0617.0
Ancient333%1.0613.0
Vertigo10%1.1721.0

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.

17.4%Headshot accuracy
32.9%Accuracy (enemy spotted)
36.1%Spray accuracy
81.5%Counter-strafing
11.6°Preaim
564msReaction time
52.9%T opening success
37.4%CT opening success
0.59Enemies flashed / flash
7.8%Flash assists
9.30HE damage / grenade
11.92Flashes / 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

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

    CT opening duels 37.3852% — below the 40% mark we flag

Spend your practice time on Dust 2

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis8–13-0.0310%14 Oct →
dust26–13-0.042%13 Oct →
nuke9–130.0034%12 Oct →
cache13–7-0.0121%12 Oct →
mirage11–13-0.0512%12 Oct →
anubis3–13-0.0616%12 Oct →
nuke11–130.0017%12 Oct →
nuke11–130.0018%12 Oct →
anubis15–15-0.059%6 Oct →
inferno13–90.0012%29 Sept →
anubis7–130.0218%25 Sept →
mirage11–130.0118%24 Sept →
mirage13–8-0.0912%23 Sept →
mirage13–11-0.0420%23 Sept →
nuke5–13-0.0632%22 Sept →
inferno13–50.0124%22 Sept →
ancient6–13-0.0415%22 Sept →
ancient13–11-0.0114%20 Sept →
dust28–13-0.0513%17 Sept →
cache13–10.0929%17 Sept →
ancient13–110.0313%17 Sept →
inferno13–80.0117%16 Sept →
anubis13–110.0614%10 Sept →
ancient11–130.0420%9 Sept →
mirage13–7-0.0416%9 Sept →
train13–40.0123%6 Sept →
anubis10–130.0122%6 Sept →
mirage9–130.0424%1 Sept →
mirage14–16-0.0411%1 Sept →
mirage13–110.0625%31 Aug →
inferno9–130.0112%31 Aug →
mirage6–13-0.0120%31 Aug →
mirage5–130.0117%28 Aug →
cache13–40.0916%28 Aug →
dust26–13-0.0120%28 Aug →
nuke13–80.0011%28 Aug →
dust213–10-0.0326%28 Aug →
inferno13–80.0313%25 Aug →
anubis10–13-0.0222%22 Aug →
nuke8–130.0122%22 Aug →
vertigo6–130.0522%22 Aug →
anubis13–50.0110%22 Aug →
inferno0–13-0.065%22 Aug →
mirage6–13-0.0811%20 Aug →
cache13–20.1024%20 Aug →
dust210–130.0420%20 Aug →
anubis13–60.0620%20 Aug →
nuke9–13-0.0214%20 Aug →
vertigo13–110.0831%20 Aug →
ancient1–13-0.0510%20 Aug →
ancient16–13-0.0219%19 Aug →
mirage10–13-0.0419%19 Aug →
cache13–70.0724%19 Aug →
inferno4–13-0.0126%19 Aug →
anubis8–130.0017%19 Aug →
nuke13–9-0.0113%19 Aug →
cache13–7-0.0116%19 Aug →
inferno9–13-0.0420%19 Aug →
mirage6–13-0.0914%19 Aug →
mirage9–130.0125%19 Aug →
inferno7–13-0.0124%18 Aug →
cache13–40.0421%18 Aug →
ancient13–70.0313%18 Aug →
inferno4–13-0.0725%18 Aug →
dust24–130.0316%18 Aug →
anubis8–13-0.049%16 Aug →
train6–130.0318%16 Aug →
mirage7–13-0.0018%14 Aug →
inferno9–130.0126%14 Aug →
mirage13–10-0.0315%14 Aug →
nuke4–13-0.0620%14 Aug →
nuke13–4-0.0014%14 Aug →
anubis13–7-0.0411%14 Aug →
inferno13–4-0.047%14 Aug →
dust213–70.0227%12 Aug →
cache9–130.0112%12 Aug →
inferno10–13-0.0111%29 Jul →
anubis13–4-0.0412%29 Jul →
cache13–30.028%29 Jul →
inferno9–13-0.0423%29 Jul →
anubis9–130.1116%25 Jul →
inferno15–15-0.0217%24 Jul →
cache5–13-0.0716%24 Jul →
cache11–130.0532%22 Jul →
vertigo1–13-0.0614%22 Jul →
nuke13–80.1011%22 Jul →
mirage16–130.0117%21 Jul →
dust211–13-0.0223%21 Jul →
vertigo4–130.0127%21 Jul →
inferno13–90.0216%15 Jul →
train13–110.0318%15 Jul →
dust215–150.0014%15 Jul →
mirage9–13-0.0214%13 Jul →
anubis6–130.057%13 Jul →
cache1–13-0.0619%13 Jul →
nuke2–13-0.118%12 Jul →
cache13–30.016%12 Jul →
cache13–90.0412%12 Jul →
mirage13–10-0.0214%9 Jul →
cache8–130.0128%8 Jul →

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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