Dinge

Dinge — CS2 Stats

DK76561197988491075[U:1:28225347]Steam profile ↗✓ No bans

1,458Tracked matches33%Win rate2020Tracked since
CSDB Rating3.4 LearningSupport
Premier CS Rating14,910Blue band · top ~28.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (2 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: 14,910 -387 9 Sept – 25 Oct · 15 days played
14,55016,007peak 16,0079 Sept25 Oct
16,100Peak Premier in tracked matches
31Days played since 2026-08-30

Premier CS Rating

  • 1,097 below peak (16,007)
  • -883 over 30 days · declining
  • Next: Purple band at 15,000 — 90 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-23
  • Blue band first seen 2026-09-23

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

Share this profile

CSDB.GGDingePREMIER14,910 · Blue bandcsdb.gg/stats

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Performance scores

Aim44
Positioning46
Utility55

0–100 skill scores via Leetify.

Recent form

COLD39–50–11Last 10039%Win rateWTTLWLLTLL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −5.6pp headshot accuracy · −54ms reaction

Win rate down 20pp 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

  • 2–1–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 578ms

Last 10

  • 2–5–3 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 573ms

Last 20

  • 6–9–5 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 600ms

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 (+2.7 against its own average).

Aim4.4
Utility5.5
Positioning4.6
Opening Duels1.0
Clutch0.0

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

Twistzz

Plays most like Twistzz 70% 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

CT openings. Opening success drops from 53% on T to 29% on CT — first contacts on the defending side are being lost.

Reaction time. 578ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim4.4
Positioning4.6
Utility5.5
Mechanics1.3
Opening Duels2.8
Win Impact0.0

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time578ms+0ms
first ⅓ avg 578ms → last ⅓ avg 578ms
Headshot accuracy14.4%−0.6%
first ⅓ avg 15.0% → last ⅓ avg 14.4%

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.

Personal bests

0.13Best match rating · 13–4 · nuke, 19 Sept →
35%Best headshot accuracy · 5–13 · cache, 19 Sept →
375msFastest reaction time · 1–13 · inferno, 7 Oct →
13–2Biggest win · cache, 27 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–4In matches decided by ≤2 rounds

Map breakdown

boulderBest map · 67% over 6infernoWeakest map · 25% over 20
MapGradePlayedRecordWin rateAvg rating
infernoD205–1525%-0.02
ancientC188–1044%-0.02
nukeA1811–761%0.00
cacheC145–936%-0.01
anubisD72–529%-0.03
boulderS64–267%-0.03
mirage—41–325%-0.02
train—41–325%-0.01
dust2—31–233%-0.02
office—21–150%-0.04
overpass—20–20%0.01
vertigo—10–10%0.04
fachwerk—10–10%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

24Matches
54%Win rate
0.92Avg K/D
66.9ADR
35%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke367%1.0017.0
Ancient20%0.7313.0
Inferno250%0.8814.5
Anubis10%0.8126.0
Cache10%0.335.0

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.

14.6%Headshot accuracy
34.8%Accuracy (enemy spotted)
39.8%Spray accuracy
56.0%Counter-strafing
11.7°Preaim
578msReaction time
52.6%T opening success
29.2%CT opening success
0.52Enemies flashed / flash
8.1%Flash assists
11.17HE damage / grenade
6.33Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.6112% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 29.2211% — 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.

25% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0511%25 Oct →
nuke12–12-0.0213%25 Oct →
cache12–120.0010%25 Oct →
inferno9–13-0.0211%20 Oct →
cache13–7-0.0216%20 Oct →
mirage4–13-0.0712%20 Oct →
anubis5–13-0.0612%18 Oct →
cache12–12-0.074%18 Oct →
dust26–13-0.0212%17 Oct →
ancient7–13-0.025%16 Oct →
mirage12–12-0.0214%16 Oct →
inferno3–13-0.088%14 Oct →
cache6–13-0.0127%14 Oct →
dust213–7-0.0118%14 Oct →
anubis13–10-0.066%14 Oct →
mirage13–3-0.0011%14 Oct →
train4–13-0.0514%11 Oct →
inferno13–9-0.0220%9 Oct →
boulder3–13-0.1015%9 Oct →
inferno12–120.0229%8 Oct →
nuke13–9-0.0512%8 Oct →
train13–11-0.0322%8 Oct →
inferno2–13-0.0315%7 Oct →
train12–12-0.0313%7 Oct →
inferno1–13-0.0525%7 Oct →
office2–13-0.069%7 Oct →
nuke11–13-0.0111%5 Oct →
ancient9–13-0.0231%5 Oct →
inferno6–13-0.0822%4 Oct →
overpass11–130.0112%4 Oct →
ancient9–130.0119%4 Oct →
nuke13–9-0.015%3 Oct →
ancient13–90.0312%3 Oct →
ancient13–6-0.008%3 Oct →
ancient13–8-0.0519%3 Oct →
nuke13–100.0713%3 Oct →
cache3–13-0.0717%3 Oct →
ancient13–10-0.0218%3 Oct →
inferno9–130.0714%3 Oct →
mirage10–130.0018%2 Oct →
cache10–13-0.0115%2 Oct →
cache13–110.0313%1 Oct →
ancient8–13-0.038%1 Oct →
boulder13–9-0.0123%1 Oct →
anubis2–13-0.0219%28 Sept →
ancient10–13-0.0413%28 Sept →
train12–120.0610%28 Sept →
boulder9–20.040%27 Sept →
nuke5–130.0410%27 Sept →
ancient2–13-0.0511%27 Sept →
anubis13–11-0.0215%27 Sept →
cache13–20.0313%27 Sept →
overpass5–130.009%25 Sept →
dust25–13-0.0219%25 Sept →
ancient13–80.0415%24 Sept →
anubis5–130.0425%24 Sept →
boulder13–9-0.0713%23 Sept →
nuke13–9-0.0115%22 Sept →
cache10–130.0323%22 Sept →
nuke13–30.0111%22 Sept →
inferno2–13-0.0714%21 Sept →
nuke13–70.024%21 Sept →
ancient4–13-0.0114%21 Sept →
anubis10–13-0.049%20 Sept →
ancient6–13-0.069%20 Sept →
cache13–10-0.0612%20 Sept →
inferno13–60.0214%20 Sept →
inferno11–13-0.0616%19 Sept →
nuke13–30.0710%19 Sept →
boulder12–12-0.0113%19 Sept →
vertigo2–130.0411%19 Sept →
cache5–13-0.0235%19 Sept →
nuke13–40.1320%19 Sept →
ancient8–13-0.0027%19 Sept →
nuke13–9-0.055%19 Sept →
inferno9–13-0.0614%14 Sept →
nuke4–13-0.0617%14 Sept →
inferno7–130.0017%13 Sept →
inferno9–13-0.0018%13 Sept →
nuke12–12-0.0217%13 Sept →
ancient13–10-0.0217%13 Sept →
inferno10–13-0.0613%13 Sept →
cache12–12-0.0217%13 Sept →
inferno8–130.0119%13 Sept →
nuke13–90.0910%13 Sept →
ancient13–10-0.012%12 Sept →
inferno13–80.0112%12 Sept →
nuke5–13-0.0615%12 Sept →
nuke13–9-0.0517%10 Sept →
ancient12–12-0.027%10 Sept →
inferno13–50.0318%10 Sept →
cache13–30.0722%10 Sept →
inferno13–2-0.0416%9 Sept →
boulder13–3-0.0519%9 Sept →
nuke6–13-0.017%9 Sept →
anubis3–13-0.043%9 Sept →
inferno4–13-0.0515%9 Sept →
cache11–13-0.0321%7 Sept →
fachwerk5–13-0.0516%7 Sept →
office13–8-0.029%6 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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