BlingBong — CS2 Stats

76561199068944999[U:1:1108679271]✓ No bans

342Tracked matches30%Win rate2025Tracked since
299Hours in CS10Hrs last 2 wks
CSDB Rating3.1 Learning
Ladder ranks via Leetify

Performance scores

Aim46
Positioning30
Utility9

0–100 skill scores via Leetify.

Recent form

COLD31663Last 10031%Win rateWLLLLLLLLL

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

Player DNA

Aim4.6
Aggression3.7
Utility0.9
Positioning3.0
Opening Duels0.0

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 67% playstyle similarity

Most alike: opening-fight frequency, 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.

Reaction time. 699ms 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

Aim4.6
Positioning3.0
Utility0.9
Mechanics6.6
Opening Duels0.0
Win Impact0.0

Composite 3.1/10 (Learning), 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-0.07+0.01
first ⅓ avg -0.08 → last ⅓ avg -0.07
Reaction time707ms−3ms
first ⅓ avg 711ms → last ⅓ avg 707ms
Headshot accuracy18.4%+1.1%
first ⅓ avg 17.3% → last ⅓ avg 18.4%

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.

Highlights

0.09Best rating — mirage 13–2
130Biggest win — ancient
4Longest win streak
56In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 67% over 6dust2Weakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoD1961332%-0.09
mirageD1651131%-0.07
nukeD1431121%-0.06
cacheD1221017%-0.09
anubisD91811%-0.08
trainA74357%-0.07
vertigoA74357%-0.10
ancientS64267%-0.04
dust2D5050%-0.05
overpass110100%-0.07
fachwerk1010%-0.07
debris1010%-0.20
shelter110100%-0.08
office1010%-0.16

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

6,105Lifetime kills
0.79K/D
467Matches
42.4%Match win rate
68.9%Headshot % · Top 5% of tracked players
0.1%Shot accuracy
294MVPs
161Hours (in match)
552Bombs planted
135Bombs defused

Most-used weapons

Lifetime map wins

571nuke
493inferno
338dust2
332train
259vertigo
45office

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.

18.3%Headshot accuracy
28.0%Accuracy (enemy spotted)
28.8%Spray accuracy
79.9%Counter-strafing
8.8°Preaim
699msReaction time
26.3%T opening success
27.3%CT opening success
0.20Enemies flashed / flash
0.0%Flash assists
6.18HE damage / grenade
1.09Flashes / 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 0.202 — 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 26.2527% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–4-0.0317%21 Aug
nuke4–9-0.1727%21 Aug
inferno3–9-0.146%21 Aug
inferno4–13-0.1018%21 Aug
anubis7–13-0.0629%21 Aug
nuke3–13-0.0622%18 Aug
cache7–13-0.1120%18 Aug
nuke10–130.0224%18 Aug
mirage9–13-0.107%17 Aug
inferno10–13-0.0811%17 Aug
nuke3–13-0.0917%17 Aug
inferno2–13-0.0818%17 Aug
mirage13–11-0.135%17 Aug
train10–13-0.0919%17 Aug
anubis13–11-0.0838%16 Aug
cache11–13-0.1113%16 Aug
vertigo2–13-0.1018%16 Aug
ancient1–13-0.0625%16 Aug
train13–9-0.0713%13 Aug
mirage8–13-0.1019%13 Aug
dust27–130.0117%11 Aug
mirage13–20.0927%11 Aug
dust26–13-0.0917%10 Aug
mirage13–11-0.0712%10 Aug
inferno13–9-0.0223%10 Aug
nuke13–50.0221%10 Aug
nuke6–13-0.0530%10 Aug
vertigo13–8-0.0519%10 Aug
anubis5–13-0.0513%10 Aug
cache4–13-0.1013%9 Aug
anubis11–13-0.0811%9 Aug
mirage10–13-0.0918%9 Aug
mirage13–80.0216%9 Aug
train10–13-0.0816%4 Aug
nuke7–13-0.1114%4 Aug
overpass13–10-0.070%3 Aug
mirage7–13-0.127%3 Aug
cache12–12-0.0714%2 Aug
vertigo13–5-0.1112%31 Jul
inferno10–13-0.1027%31 Jul
inferno8–13-0.1014%29 Jul
anubis8–13-0.1523%27 Jul
dust27–13-0.0829%27 Jul
mirage1–13-0.0821%27 Jul
dust212–12-0.0919%27 Jul
cache4–13-0.0717%26 Jul
fachwerk6–13-0.0715%26 Jul
anubis1–13-0.056%23 Jul
cache6–13-0.1135%23 Jul
vertigo1–9-0.157%23 Jul
debris1–9-0.2021%23 Jul
inferno1–9-0.300%23 Jul
shelter13–9-0.0817%22 Jul
inferno11–13-0.0716%22 Jul
nuke3–13-0.065%17 Jul
mirage13–8-0.028%17 Jul
vertigo9–6-0.1413%17 Jul
nuke9–60.0413%17 Jul
inferno9–20.0314%17 Jul
cache7–13-0.113%15 Jul
inferno5–13-0.1023%13 Jul
mirage10–13-0.096%13 Jul
cache6–13-0.105%11 Jul
cache13–5-0.127%11 Jul
dust29–13-0.028%11 Jul
ancient13–2-0.0223%10 Jul
train13–3-0.0420%10 Jul
nuke5–13-0.0811%9 Jul
anubis8–13-0.1015%7 Jul
train7–0-0.0517%7 Jul
train9–13-0.0615%6 Jul
nuke11–13-0.0613%6 Jul
anubis0–2-0.000%6 Jul
cache7–13-0.0430%5 Jul
mirage9–13-0.1110%5 Jul
inferno4–13-0.1120%4 Jul
inferno0–9-0.090%4 Jul
anubis8–13-0.1215%4 Jul
mirage5–13-0.1313%4 Jul
mirage5–13-0.1218%4 Jul
vertigo13–2-0.0527%4 Jul
ancient11–13-0.0615%2 Jul
ancient13–11-0.1115%2 Jul
vertigo4–13-0.129%2 Jul
cache13–10-0.0919%1 Jul
nuke6–13-0.1229%1 Jul
inferno13–6-0.0617%1 Jul
ancient13–3-0.0335%1 Jul
mirage8–13-0.1215%1 Jul
nuke3–9-0.1025%1 Jul
ancient13–00.0129%30 Jun
inferno13–10-0.085%19 Jun
cache8–12-0.0710%19 Jun
inferno13–6-0.0523%19 Jun
inferno12–12-0.078%17 Jun
office4–13-0.1633%17 Jun
mirage6–13-0.0229%17 Jun
nuke13–9-0.0311%17 Jun
inferno5–13-0.1330%17 Jun
train13–11-0.0812%17 Jun

Match data via Leetify.

Recent teammates

Milestones

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