DangleMeBallsonYa4head — CS2 Stats

76561198274175480[U:1:313909752]

1,627Tracked matches54%Win rate2020Tracked since
CSDB Rating6.2 SolidHybrid Rifler
Premier CS Rating22,739Top 50% of 819 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#5555 of 20424 tracked
Ladder ranks via Leetify

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CSDB.GGDangleMeBallsonYa4headPREMIER22,739 · Pink bandcsdb.gg/stats

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Performance scores

Aim76
Positioning41
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY46513Last 10046%Win rateWLWLWTWLLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.6
Aggression4.7
Utility6.3
Positioning4.1
Opening Duels0.8
Clutch0.0

Excellent counter-strafing

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 90% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Reaction time. 631ms 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

Aim7.6
Positioning4.1
Utility6.3
Mechanics8.7
Opening Duels1.2
Win Impact6.2

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time637ms+14ms
first ⅓ avg 623ms → last ⅓ avg 637ms
Headshot accuracy22.7%−1.5%
first ⅓ avg 24.2% → last ⅓ avg 22.7%

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

0.16Best rating — mirage 13–8
131Biggest win — anubis
4Longest win streak
128In matches decided by ≤2 rounds
13Overtime games

Map breakdown

overpassBest map · 80% over 5infernoWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
nukeC2591636%-0.01
anubisA169756%-0.01
infernoD1551033%-0.01
dust2B136746%-0.03
ancientB115645%0.01
mirageB84450%0.00
cacheS64267%0.00
overpassS54180%0.01
train1010%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

203Matches
52%Win rate
0.99Avg K/D
81.1ADR
45%Headshot %

Clutches & streaks

17%1v1 clutch win
33%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient333%0.8415.3
Nuke1100%1.0022.0
Anubis1100%1.0814.0
Overpass1100%2.2011.0
Cache10%0.8618.0

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.

22.5%Headshot accuracy
34.2%Accuracy (enemy spotted)
37.4%Spray accuracy
89.0%Counter-strafing
10.0°Preaim
631msReaction time
26.9%T opening success
39.2%CT opening success
0.54Enemies flashed / flash
12.2%Flash assists
10.38HE damage / grenade
9.88Flashes / 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

    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 26.9034% — 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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0212%26 Aug
nuke8–130.0318%26 Aug
inferno13–100.0724%22 Aug
cache4–13-0.0327%22 Aug
dust213–7-0.0614%20 Aug
dust212–12-0.0122%18 Aug
mirage13–5-0.0229%18 Aug
train7–13-0.0136%18 Aug
cache1–13-0.0118%17 Aug
nuke11–13-0.0212%17 Aug
anubis13–110.0420%17 Aug
cache13–110.0316%16 Aug
inferno13–20.0633%16 Aug
dust24–13-0.0615%14 Aug
dust213–8-0.0219%14 Aug
inferno2–13-0.0813%12 Aug
nuke7–13-0.0922%8 Aug
cache13–110.0232%8 Aug
anubis13–80.0128%8 Aug
mirage9–130.1036%6 Aug
ancient13–30.1137%5 Aug
inferno15–15-0.0121%5 Aug
nuke14–16-0.0419%2 Aug
nuke13–110.0428%2 Aug
nuke13–90.0223%2 Aug
ancient12–16-0.0227%2 Aug
anubis13–8-0.0226%29 Jul
anubis5–13-0.0719%26 Jul
ancient13–11-0.0316%26 Jul
nuke7–130.0122%25 Jul
inferno13–110.0124%25 Jul
nuke13–11-0.0224%25 Jul
anubis14–16-0.0221%15 Jul
nuke6–110.0621%15 Jul
anubis5–13-0.1020%13 Jul
dust213–8-0.0022%13 Jul
nuke4–13-0.0511%12 Jul
cache13–100.0017%9 Jul
cache13–50.0012%9 Jul
nuke11–13-0.0020%1 Jul
overpass13–90.0118%1 Jul
ancient13–40.0832%1 Jul
inferno9–13-0.0623%24 Jun
nuke7–13-0.0516%24 Jun
ancient7–13-0.0126%23 Jun
inferno9–13-0.065%23 Jun
inferno9–13-0.0124%22 Jun
dust26–13-0.0916%20 Jun
anubis13–20.0329%20 Jun
anubis13–11-0.0217%16 Jun
nuke16–14-0.0114%16 Jun
inferno13–100.0034%16 Jun
nuke3–13-0.0129%15 Jun
inferno1–13-0.050%12 Jun
nuke11–13-0.0124%11 Jun
overpass13–60.0431%11 Jun
ancient13–50.0716%11 Jun
nuke4–13-0.0527%11 Jun
anubis8–130.0127%10 Jun
nuke15–150.0125%8 Jun
mirage11–130.0119%7 Jun
dust23–13-0.1114%7 Jun
nuke13–60.0517%6 Jun
ancient10–13-0.0616%6 Jun
overpass13–40.0523%6 Jun
anubis13–10-0.0318%6 Jun
ancient6–13-0.0222%5 Jun
ancient9–13-0.0210%5 Jun
nuke13–10-0.0125%5 Jun
dust213–80.1029%5 Jun
dust29–13-0.0227%4 Jun
nuke13–16-0.0324%4 Jun
nuke13–16-0.0212%4 Jun
mirage13–8-0.0117%4 Jun
inferno13–16-0.0126%4 Jun
anubis13–16-0.0426%4 Jun
mirage1–13-0.0428%4 Jun
inferno11–130.0426%4 Jun
nuke13–10-0.0136%4 Jun
ancient10–13-0.0411%4 Jun
dust21–13-0.0221%4 Jun
mirage1–13-0.0725%4 Jun
inferno11–130.0112%3 Jun
anubis13–110.0928%3 Jun
overpass13–10-0.0517%3 Jun
nuke2–13-0.0717%3 Jun
mirage13–80.1616%3 Jun
inferno3–13-0.0027%3 Jun
mirage13–6-0.1121%3 Jun
dust29–13-0.0235%3 Jun
dust216–14-0.0122%3 Jun
ancient16–130.0327%3 Jun
nuke13–9-0.0020%3 Jun
anubis16–13-0.0124%2 Jun
overpass6–130.0126%1 Jun
anubis10–130.0426%1 Jun
anubis10–13-0.0320%31 May
inferno13–10-0.0430%31 May
nuke13–60.0639%31 May
anubis13–10.0250%31 May

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 →