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Bango ⋆.˚

Bango ⋆.˚ — CS2 Stats

DE76561198442092906[U:1:481827178]Steam profile ↗✓ No bans

335Tracked matches50%Win rate2021Tracked since
657Hours in CS56Hrs last 2 wks
CSDB Rating2.8 LearningClutch Specialist
WingmanSilver III
Ladder ranks via Leetify

Performance scores

Aim28
Positioning40
Utility11

0–100 skill scores via Leetify.

Recent form

STEADY35–55–10Last 10035%Win rateLWWLWTWLLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +2.5pp headshot accuracy · +1ms reaction

Win rate −10pp 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 -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 639ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 672ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 672ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.6 against its own average).

Aim2.8
Utility1.1
Positioning4.0
Opening Duels0.7
Clutch8.0

Limited utility dependenceReliable 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.

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 81% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 686ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim2.8
Positioning4.0
Utility1.1
Mechanics2.1
Opening Duels1.9
Win Impact5.0

Composite 2.8/10 (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-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time699ms+29ms
first ⅓ avg 670ms → last ⅓ avg 699ms
Headshot accuracy12.3%+1.8%
first ⅓ avg 10.5% → last ⅓ avg 12.3%

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

0.30Best match rating · 9–1 · inferno, 14 Sept →
67%Best headshot accuracy · 0–5 · inferno, 18 Sept →
391msFastest reaction time · 4–13 · ancient, 10 Sept →
13–0Biggest win · nuke, 29 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
2–7In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 50% over 10mirageWeakest map · 19% over 27
MapGradePlayedRecordWin rateAvg rating
infernoB2913–1645%0.01
mirageD275–2219%-0.02
dust2C146–843%-0.02
ancientB105–550%-0.04
nukeD92–722%-0.06
cache—22–0100%-0.07
vertigo—10–10%-0.05
train—10–10%0.01
fachwerk—11–0100%0.05
italy—10–10%-0.10
shelter—10–10%0.02
boulder—11–0100%0.10
anubis—10–10%0.01
office—10–10%-0.09
overpass—10–10%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (19% over 27). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,907Lifetime kills
0.70K/D
984Matches
42.9%Match win rate
33.5%Headshot %
10.2%Shot accuracy
1,340MVPs
293Hours (in match)
870Bombs planted
112Bombs defused

Most-used weapons

AK-472,319
M4A4 / M4A1-S2,132
Desert Eagle1,220
MP7734
P2000 / USP-S627
MAC-10388
Glock-18377
XM1014355
AWP351
MP9290

Lifetime map wins

2,158dust2
1,294inferno
636nuke
305cbble
251vertigo
98train
63office
24lake

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

Faceit stats

Combat

11Matches
73%Win rate
0.50Avg K/D
39.5ADR
63%Headshot %

Clutches & streaks

60%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3100%0.637.3
Inferno367%0.213.7
Ancient2100%0.427.0
Dust21100%1.1714.0
Nuke10%0.6712.0
Cache10%0.356.0

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.

12.1%Headshot accuracy
35.2%Accuracy (enemy spotted)
35.2%Spray accuracy
59.6%Counter-strafing
12.7°Preaim
686msReaction time
36.0%T opening success
39.2%CT opening success
0.29Enemies flashed / flash
0.7%Flash assists
3.31HE damage / grenade
1.56Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.7162° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.1313% — below the 15% mark we flag

    Aim Training →
  3. 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 0.2873 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

19% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.0714%14 Oct →
dust213–10-0.0421%14 Oct →
inferno13–5-0.1014%12 Oct →
dust29–13-0.0413%7 Oct →
dust213–9-0.0012%7 Oct →
mirage12–12-0.0523%7 Oct →
ancient13–9-0.1212%6 Oct →
inferno4–9-0.037%5 Oct →
mirage11–13-0.075%5 Oct →
mirage7–13-0.048%5 Oct →
mirage9–13-0.0511%5 Oct →
mirage6–13-0.057%5 Oct →
mirage13–4-0.046%5 Oct →
dust213–60.0314%5 Oct →
dust211–13-0.0412%5 Oct →
ancient13–8-0.1012%5 Oct →
cache13–8-0.0816%4 Oct →
inferno13–5-0.0212%4 Oct →
mirage12–12-0.076%4 Oct →
inferno11–13-0.047%30 Sept →
nuke13–00.0220%29 Sept →
mirage13–60.0513%29 Sept →
inferno13–11-0.0118%29 Sept →
inferno1–13-0.0120%27 Sept →
mirage13–80.0317%27 Sept →
nuke7–13-0.045%24 Sept →
nuke3–13-0.0911%23 Sept →
mirage8–13-0.028%23 Sept →
nuke13–9-0.059%23 Sept →
mirage11–130.006%20 Sept →
mirage5–130.0217%20 Sept →
mirage4–13-0.0320%19 Sept →
mirage0–13-0.0311%18 Sept →
inferno0–5-0.0567%18 Sept →
dust23–13-0.0612%17 Sept →
ancient3–13-0.073%16 Sept →
vertigo5–13-0.050%16 Sept →
train12–120.018%16 Sept →
fachwerk13–10.0517%16 Sept →
italy3–13-0.1010%15 Sept →
shelter3–130.026%15 Sept →
boulder13–90.1014%15 Sept →
dust24–13-0.0216%15 Sept →
anubis5–130.0110%15 Sept →
office5–13-0.099%15 Sept →
cache13–5-0.050%15 Sept →
mirage12–12-0.0010%15 Sept →
mirage1–13-0.0811%15 Sept →
dust213–7-0.0411%14 Sept →
ancient13–90.059%14 Sept →
mirage12–120.009%14 Sept →
inferno12–120.0411%14 Sept →
inferno4–13-0.036%14 Sept →
ancient12–12-0.0210%14 Sept →
nuke5–90.022%14 Sept →
inferno9–50.2311%14 Sept →
inferno8–80.1011%14 Sept →
inferno4–90.029%14 Sept →
inferno5–90.1220%14 Sept →
inferno9–10.3017%14 Sept →
inferno9–40.132%14 Sept →
inferno9–60.055%14 Sept →
inferno8–80.0311%14 Sept →
inferno1–9-0.1619%14 Sept →
inferno9–5-0.038%14 Sept →
inferno9–70.074%13 Sept →
inferno7–9-0.045%13 Sept →
nuke6–9-0.197%13 Sept →
nuke7–9-0.048%13 Sept →
mirage4–13-0.005%13 Sept →
mirage8–13-0.0514%13 Sept →
dust21–13-0.0111%13 Sept →
inferno4–9-0.0310%13 Sept →
inferno6–9-0.0915%13 Sept →
overpass7–9-0.0511%13 Sept →
ancient8–13-0.0416%12 Sept →
mirage5–13-0.008%12 Sept →
dust212–60.0113%12 Sept →
mirage9–130.0012%12 Sept →
dust24–13-0.0012%12 Sept →
inferno4–13-0.0410%12 Sept →
inferno0–13-0.0614%11 Sept →
mirage13–3-0.0212%11 Sept →
mirage13–60.0116%11 Sept →
ancient13–6-0.0010%10 Sept →
inferno13–8-0.047%10 Sept →
mirage5–13-0.046%10 Sept →
inferno13–7-0.0312%10 Sept →
inferno13–60.0510%10 Sept →
ancient4–13-0.064%10 Sept →
mirage10–13-0.025%10 Sept →
dust21–13-0.0721%10 Sept →
dust21–110.0310%10 Sept →
inferno13–10-0.0310%10 Sept →
dust213–4-0.0221%10 Sept →
mirage3–130.0415%9 Sept →
nuke2–9-0.075%9 Sept →
ancient13–00.010%9 Sept →
mirage12–12-0.026%9 Sept →
ancient9–130.0011%9 Sept →

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 →

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