Dingle The Dang™

Dingle The Dang™ — CS2 Stats

US76561198068008876[U:1:107743148]Steam profile ↗✓ No bans

3,551Tracked matches57%Win rate2023Tracked since
2,995Hours in CS35Hrs last 2 wks
CSDB Rating3.9 LearningClutch Specialist
Premier CS Rating6,125Light Blue band · top ~73.4% of ranked players (population est.)
CSDB Leaderboard#25057 of 32853 tracked
WingmanSilver Elite Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate40.1%40.1%41.7%1.6% short
Shot accuracy1.0%7.6%8.8%7.8% short
Kill/death ratio1.040.920.97above
Match win rate35.3%42.2%43.8%8.5% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGDingle The Dang™PREMIER6,125 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim52
Positioning41
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY57367Last 10057%Win rateLWLWTLWWWW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim5.2
Aggression3.5
Utility4.1
Positioning4.1
Opening Duels0.0
Clutch10.0

Strong CT-side openerReliable in 1v1s

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 77% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 41% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 65% 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

Aim5.2
Positioning4.1
Utility4.1
Mechanics3.4
Opening Duels1.3
Win Impact7.4

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time551ms−54ms
first ⅓ avg 605ms → last ⅓ avg 551ms
Headshot accuracy17.7%+1.5%
first ⅓ avg 16.2% → last ⅓ avg 17.7%

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.

Highlights

0.17Best rating — nuke 13–6
131Biggest win — cache
11Longest win streak
83In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 77% over 13ancientWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B22101245%0.02
infernoA2112957%0.03
mirageA1610663%0.04
nukeS1310377%0.04
ancientC94544%0.04
anubisA95456%0.01
cache42250%0.02
train32167%0.04
overpass21150%-0.02
shelter110100%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,803Lifetime kills
1.04K/D · Top 25% of Light Blue band
4,891Matches
35.3%Match win rate
40.1%Headshot %
1.0%Shot accuracy
11,208MVPs
1,561Hours (in match)
5,459Bombs planted
1,650Bombs defused

Most-used weapons

AK-4719,084
MP95,365
MAC-105,139
AWP3,887
MP73,058
P902,412

Lifetime map wins

8,025inferno
7,094dust2
5,112nuke
1,574office
1,292vertigo
972train
37italy
28ar_shoots

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

Faceit stats

Combat

4Matches
0%Win rate
0.72Avg K/D
39.7ADR
43%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.8117.0
Anubis10%0.6710.0
Ancient10%0.314.0

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
31.1%Accuracy (enemy spotted)
36.1%Spray accuracy
65.4%Counter-strafing
10.9°Preaim
542msReaction time
16.8%T opening success
40.8%CT opening success
0.37Enemies flashed / flash
2.0%Flash assists
5.52HE damage / grenade
8.09Flashes / 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 0.3695 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 16.8025% — 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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust23–13-0.0112%29 Aug
nuke13–100.0315%29 Aug
mirage8–130.0116%28 Aug
mirage13–40.0513%28 Aug
inferno15–150.0420%28 Aug
mirage7–130.0117%27 Aug
dust216–120.0117%27 Aug
ancient13–70.1121%27 Aug
inferno13–90.0818%26 Aug
inferno13–60.0821%25 Aug
dust213–50.0816%25 Aug
train13–90.0814%24 Aug
cache13–11-0.0123%24 Aug
inferno4–13-0.0117%24 Aug
ancient7–130.0515%23 Aug
dust26–130.0219%23 Aug
nuke13–60.1717%23 Aug
cache13–10.1516%23 Aug
anubis10–130.0224%23 Aug
inferno10–13-0.0110%23 Aug
mirage8–130.0838%23 Aug
mirage13–11-0.0310%23 Aug
ancient8–13-0.0521%22 Aug
nuke15–15-0.0514%22 Aug
inferno11–13-0.0518%22 Aug
nuke13–80.0317%22 Aug
dust28–13-0.018%22 Aug
dust213–70.1226%22 Aug
dust213–70.0814%21 Aug
mirage13–80.0014%21 Aug
ancient3–00.0940%21 Aug
inferno13–30.018%21 Aug
dust213–80.1417%20 Aug
inferno13–80.0216%20 Aug
nuke13–100.008%19 Aug
mirage13–90.0522%19 Aug
nuke13–3-0.0019%18 Aug
ancient13–60.0311%18 Aug
anubis3–13-0.0915%16 Aug
dust29–13-0.0016%16 Aug
mirage13–80.0619%1 Aug
anubis13–40.0212%1 Aug
nuke5–130.0321%1 Aug
inferno13–70.1628%31 Jul
ancient13–160.038%28 Jul
anubis8–7-0.0013%27 Jul
nuke13–90.0617%25 Jul
dust213–40.0523%25 Jul
mirage2–13-0.005%24 Jul
inferno6–13-0.0216%21 Jul
dust28–13-0.068%19 Jul
dust27–13-0.0015%19 Jul
dust213–110.0122%18 Jul
inferno13–40.1722%18 Jul
anubis13–40.0814%18 Jul
mirage5–130.0523%18 Jul
mirage13–100.0514%17 Jul
dust213–60.0325%17 Jul
inferno13–20.097%17 Jul
nuke3–13-0.0210%16 Jul
ancient7–130.047%16 Jul
mirage10–40.1215%15 Jul
inferno13–50.0514%15 Jul
dust213–40.1223%15 Jul
dust21–13-0.0317%13 Jul
mirage0–2-0.1250%13 Jul
cache12–120.0216%11 Jul
anubis8–13-0.0515%11 Jul
dust27–13-0.0413%11 Jul
inferno13–6-0.0319%11 Jul
inferno9–13-0.0211%10 Jul
shelter13–70.0513%10 Jul
cache9–13-0.0816%9 Jul
inferno3–13-0.068%9 Jul
train13–80.026%7 Jul
inferno10–13-0.0318%6 Jul
inferno13–30.0523%6 Jul
nuke13–110.0612%6 Jul
mirage13–90.1126%6 Jul
dust215–15-0.056%5 Jul
nuke16–140.0821%5 Jul
anubis11–130.0515%5 Jul
inferno13–60.1230%5 Jul
anubis13–30.0524%5 Jul
ancient13–80.1218%4 Jul
mirage13–50.0317%4 Jul
overpass6–13-0.0211%4 Jul
dust213–70.0322%4 Jul
nuke13–110.048%4 Jul
train12–120.0319%4 Jul
ancient9–13-0.0312%3 Jul
dust215–15-0.0512%2 Jul
overpass13–11-0.0217%2 Jul
inferno15–15-0.018%1 Jul
dust25–13-0.0411%30 Jun
nuke13–80.057%30 Jun
mirage13–20.1116%29 Jun
inferno13–40.0328%29 Jun
dust213–16-0.0227%29 Jun
anubis13–90.0129%28 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →