Dinkleberg

Dinkleberg — CS2 Stats

76561198891626233[U:1:931360505]Steam profile ↗✓ No bans

693Tracked matches38%Win rate2020Tracked since
1,053Hours in CS12Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (62 days ago). Ranks are recorded once per day this page is viewed.

+14Tracked matches · now 693
+9.4ppWin rate · 28.6% → 37.9%

Rating over time

Premier CS Rating: 7,831 -1,057 17 Feb – 5 Jul · 17 days played
6,6108,888peak 8,88817 Feb5 Jul
9,164Peak Premier in tracked matches
43Days played since 2026-02-17

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

Performance scores

Aim58
Positioning59
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY42–55–3Last 10042%Win rateWLWLWLLLWL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −1.5pp headshot accuracy · −22ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 591ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 595ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 606ms

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 (+2.4 against its own average).

Aim5.8
Utility1.3
Positioning5.9
Opening Duels3.2

Limited utility dependence

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

donk

Plays most like donk 78% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 55% on T to 38% on CT — first contacts on the defending side are being lost.

Reaction time. 617ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.8
Positioning5.9
Utility1.3
Mechanics4.3
Opening Duels4.1
Win Impact1.0

Composite 4.3/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time620ms−68ms
first ⅓ avg 688ms → last ⅓ avg 620ms
Headshot accuracy19.0%−1.8%
first ⅓ avg 20.9% → last ⅓ avg 19.0%

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

0.15Best match rating · 13–2 · overpass, 12 Mar →
38%Best headshot accuracy · 13–2 · dust2, 23 Feb →
422msFastest reaction time · 9–6 · inferno, 12 Mar →
13–2Biggest win · vertigo, 17 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 54% over 28ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
nukeB2815–1354%0.02
dust2D206–1430%-0.02
mirageC167–944%0.00
infernoD134–931%-0.02
ancientD71–614%-0.02
cacheD62–433%-0.04
anubis—32–167%0.03
train—21–150%0.05
overpass—22–0100%0.08
vertigo—11–0100%0.02
poseidon—10–10%-0.24
office—11–0100%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,683Lifetime kills
1.07K/D · Top 50% of tracked players
1,175Matches
46.0%Match win rate · Top 50% of tracked players
44.0%Headshot % · Top 50% of tracked players
9.9%Shot accuracy
3,274MVPs
565Hours (in match)
1,054Bombs planted
224Bombs defused

Most-used weapons

Lifetime map wins

2,333nuke
1,683dust2
960vertigo
937inferno
361train
231cbble
102office
19lake

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.

18.8%Headshot accuracy
33.3%Accuracy (enemy spotted)
39.6%Spray accuracy
69.3%Counter-strafing
10.6°Preaim
617msReaction time
54.5%T opening success
38.0%CT opening success
0.32Enemies flashed / flash
1.0%Flash assists
4.96HE damage / grenade
1.67Flashes / 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 0.3164 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 38.0155% — below the 40% mark we flag

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–6-0.0116%3 Nov →
cache7–130.0218%3 Nov →
dust213–90.0315%3 Nov →
dust26–8-0.0320%2 Nov →
mirage13–50.0816%2 Nov →
ancient7–13-0.079%2 Nov →
nuke11–130.0433%1 Nov →
nuke12–16-0.0512%1 Nov →
anubis13–100.0219%29 Oct →
ancient8–13-0.0517%18 Oct →
nuke13–40.0630%18 Oct →
nuke10–3-0.0516%20 Sept →
dust213–16-0.0118%20 Sept →
cache9–13-0.0430%6 Sept →
anubis8–130.0415%15 Aug →
inferno13–11-0.0219%11 Aug →
mirage9–130.0315%11 Aug →
dust213–16-0.0120%10 Aug →
dust29–13-0.0713%30 Jul →
nuke13–80.0814%28 Jul →
mirage15–15-0.0012%25 Jul →
inferno13–80.0624%24 Jul →
cache13–7-0.0414%24 Jul →
mirage5–13-0.0326%19 Jul →
nuke10–13-0.0716%19 Jul →
cache6–13-0.1024%19 Jul →
train9–130.0225%17 Jul →
dust23–13-0.0320%17 Jul →
vertigo13–20.0217%17 Jul →
cache6–13-0.0526%17 Jul →
nuke10–13-0.0718%11 Jul →
dust212–120.0225%11 Jul →
dust213–16-0.0817%10 Jul →
dust214–160.0024%5 Jul →
dust213–110.0224%5 Jul →
overpass13–80.0112%5 Jul →
inferno9–13-0.0515%5 Jul →
inferno6–13-0.1018%5 Jul →
mirage7–13-0.0111%5 Jul →
ancient11–13-0.018%5 Jul →
nuke13–70.0322%5 Jul →
ancient3–13-0.0215%4 Jul →
mirage4–80.0812%4 Jul →
mirage11–13-0.0120%27 Jun →
nuke13–110.0424%27 Jun →
dust213–9-0.029%27 Jun →
train13–60.0715%21 Jun →
nuke7–130.012%30 May →
nuke13–70.0514%30 May →
nuke11–13-0.0312%16 May →
mirage13–110.0122%16 May →
dust21–13-0.078%16 May →
dust213–90.0011%9 May →
cache13–5-0.0414%9 May →
inferno2–13-0.0510%21 Mar →
inferno7–9-0.0717%18 Mar →
poseidon7–9-0.240%12 Mar →
inferno9–60.1316%12 Mar →
overpass13–20.1524%12 Mar →
inferno9–130.0324%8 Mar →
inferno4–13-0.0525%7 Mar →
nuke13–60.0531%6 Mar →
nuke13–8-0.0430%2 Mar →
nuke12–120.0222%1 Mar →
nuke2–13-0.0138%1 Mar →
nuke9–130.0123%28 Feb →
anubis16–120.0427%28 Feb →
mirage13–60.0222%28 Feb →
ancient7–130.0220%27 Feb →
mirage13–40.0724%27 Feb →
nuke8–13-0.0326%27 Feb →
nuke13–80.0523%27 Feb →
nuke13–20.0526%27 Feb →
nuke13–100.0826%25 Feb →
nuke13–50.1224%24 Feb →
mirage13–4-0.0415%23 Feb →
inferno9–13-0.0216%23 Feb →
ancient13–9-0.0319%23 Feb →
dust213–2-0.0038%23 Feb →
dust213–2-0.0117%23 Feb →
dust26–130.0417%23 Feb →
nuke13–90.0228%22 Feb →
ancient5–130.0117%22 Feb →
mirage7–13-0.0024%22 Feb →
nuke13–110.0010%21 Feb →
nuke5–130.0216%21 Feb →
inferno2–9-0.1325%21 Feb →
nuke6–90.1225%21 Feb →
dust28–13-0.0410%21 Feb →
dust29–13-0.0514%21 Feb →
office13–110.0218%21 Feb →
inferno5–13-0.1130%21 Feb →
nuke13–5-0.0212%19 Feb →
dust29–13-0.0633%19 Feb →
inferno9–60.108%18 Feb →
mirage10–13-0.076%18 Feb →
dust210–130.0120%18 Feb →
mirage13–5-0.0325%17 Feb →
nuke5–13-0.0335%17 Feb →
mirage1–13-0.0520%17 Feb →

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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