dingle

dingle — CS2 Stats

VG76561198993126742[U:1:1032861014]Steam profile ↗✓ No bans

2,768Tracked matches67%Win rate2020Tracked since
CSDB Rating5.7 SolidPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (27 days ago). Ranks are recorded once per day this page is viewed.

+27Tracked matches · now 2,768
+14.9ppWin rate · 51.7% → 66.7%

Rating over time

27Days played since 2026-07-25

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGdingleFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning46
Utility24

0–100 skill scores via Leetify.

Recent form

HOT51–37–12Last 10051%Win rateWWWTTWWWWL

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · −1.8pp headshot accuracy · −2ms reaction

Win rate up 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

  • 3–0–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 611ms

Last 10

  • 7–1–2 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 638ms

Last 20

  • 11–6–3 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 639ms

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 (+2.3 against its own average).

Aim6.6
Utility2.4
Positioning4.6
Opening Duels2.3
Clutch0.0

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 94% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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.

Reaction time. 625ms 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

Aim6.6
Positioning4.6
Utility2.4
Mechanics6.2
Opening Duels5.1
Win Impact10.0

Composite 5.7/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time618ms−34ms
first ⅓ avg 652ms → last ⅓ avg 618ms
Headshot accuracy18.5%+2.0%
first ⅓ avg 16.5% → last ⅓ avg 18.5%

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

0.16Best match rating · 13–9 · cache, 26 Sept →
50%Best headshot accuracy · 1–7 · mirage, 15 Sept →
391msFastest reaction time · 13–2 · mirage, 31 Aug →
13–0Biggest win · nuke, 26 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
8–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 71% over 7infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
nukeA2514–1156%0.01
mirageB2110–1148%-0.01
dust2B137–654%0.01
infernoC83–538%0.01
cacheA85–363%0.02
ancientS75–271%-0.00
poseidonC52–340%-0.07
anubis—30–30%0.01
train—21–150%-0.03
overpass—22–0100%-0.03
shelter—21–150%-0.03
vertigo—11–0100%-0.01
office—10–10%0.01
boulder—10–10%0.05
fachwerk—10–10%-0.00

Across the last 100 tracked matches.

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

Faceit stats

Combat

54Matches
56%Win rate
0.96Avg K/D
65.2ADR
26%Headshot %

Clutches & streaks

0%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo2100%1.0015.5
Anubis10%1.5323.0
Nuke1100%1.0715.0
Inferno10%0.8815.0
Dust21100%1.0912.0
Mirage10%0.326.0

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
36.5%Accuracy (enemy spotted)
39.2%Spray accuracy
78.0%Counter-strafing
10.7°Preaim
625msReaction time
55.5%T opening success
45.1%CT opening success
0.25Enemies flashed / flash
1.3%Flash assists
4.73HE damage / grenade
2.14Flashes / 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 0.2511 — below the 0.5 mark we flag

    Grenade Lineups →
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.

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–110.1310%15 Oct →
dust216–14-0.0518%15 Oct →
nuke13–11-0.0425%14 Oct →
mirage12–12-0.0015%10 Oct →
dust212–120.0814%10 Oct →
mirage13–100.1219%10 Oct →
nuke13–80.1125%10 Oct →
dust213–80.0024%8 Oct →
train13–8-0.055%8 Oct →
nuke5–13-0.0216%8 Oct →
nuke13–9-0.0111%6 Oct →
ancient3–13-0.0613%6 Oct →
poseidon2–9-0.1115%6 Oct →
mirage13–110.039%6 Oct →
nuke7–130.0420%6 Oct →
inferno12–12-0.0112%5 Oct →
mirage1–13-0.0844%29 Sept →
nuke13–10-0.0226%29 Sept →
dust213–100.1616%28 Sept →
mirage8–13-0.0021%28 Sept →
dust213–90.0123%26 Sept →
cache13–90.1637%26 Sept →
nuke13–00.094%26 Sept →
inferno7–90.0823%26 Sept →
inferno6–13-0.0427%23 Sept →
nuke11–13-0.077%23 Sept →
cache13–110.007%23 Sept →
mirage13–90.019%15 Sept →
mirage1–7-0.0150%15 Sept →
dust213–11-0.0115%15 Sept →
overpass13–9-0.0516%14 Sept →
train5–13-0.0116%14 Sept →
vertigo9–3-0.0120%14 Sept →
office5–130.0127%12 Sept →
nuke13–90.1216%12 Sept →
dust213–6-0.0226%12 Sept →
ancient13–70.0220%12 Sept →
nuke9–130.0418%12 Sept →
mirage13–8-0.0518%10 Sept →
dust210–130.0125%9 Sept →
nuke12–120.0414%9 Sept →
mirage7–130.0520%9 Sept →
dust210–130.0018%9 Sept →
mirage10–13-0.0337%8 Sept →
nuke4–13-0.049%8 Sept →
cache5–13-0.0412%8 Sept →
mirage13–90.0916%8 Sept →
anubis11–13-0.0410%5 Sept →
overpass13–3-0.0112%5 Sept →
nuke13–110.0010%5 Sept →
dust28–13-0.0620%5 Sept →
nuke8–8-0.0513%5 Sept →
mirage13–90.0011%5 Sept →
cache13–90.0121%5 Sept →
nuke9–130.0122%5 Sept →
poseidon8–8-0.1629%5 Sept →
nuke13–8-0.0427%5 Sept →
inferno9–13-0.0219%2 Sept →
nuke13–60.0627%31 Aug →
cache13–4-0.014%31 Aug →
mirage13–20.0512%31 Aug →
nuke13–9-0.0213%31 Aug →
ancient11–7-0.0315%31 Aug →
inferno3–13-0.0429%31 Aug →
shelter5–13-0.0835%27 Aug →
nuke12–120.0128%27 Aug →
mirage5–13-0.0410%27 Aug →
poseidon9–7-0.0125%6 Aug →
poseidon4–9-0.1217%6 Aug →
nuke13–70.010%6 Aug →
ancient13–60.0418%6 Aug →
ancient13–10-0.0315%4 Aug →
nuke13–20.0616%4 Aug →
anubis10–130.0620%4 Aug →
cache12–120.0310%4 Aug →
mirage5–13-0.0517%4 Aug →
dust213–4-0.0225%4 Aug →
ancient11–130.0219%3 Aug →
anubis12–120.0217%3 Aug →
nuke13–90.0315%3 Aug →
dust27–13-0.0012%3 Aug →
mirage5–13-0.049%3 Aug →
nuke13–7-0.0125%2 Aug →
mirage4–13-0.1236%2 Aug →
mirage13–90.0420%2 Aug →
mirage10–13-0.0118%1 Aug →
nuke12–120.0119%1 Aug →
mirage13–70.0016%1 Aug →
ancient13–80.0311%1 Aug →
poseidon9–30.0228%1 Aug →
nuke6–13-0.0319%30 Jul →
inferno13–9-0.0312%30 Jul →
cache9–13-0.027%30 Jul →
dust212–120.0314%30 Jul →
mirage13–7-0.085%30 Jul →
boulder12–120.0522%25 Jul →
shelter13–70.0310%25 Jul →
fachwerk8–13-0.0020%25 Jul →
inferno10–10.0515%25 Jul →
cache13–70.0215%25 Jul →

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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