Bunge

Bunge — CS2 Stats

AU76561198076376700[U:1:116110972]Steam profile ↗✓ No bans

3,657Tracked matches42%Win rate2021Tracked since
4,484Hours in CS38Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (29 days ago). Ranks are recorded once per day this page is viewed.

+85Tracked matches · now 3,657
−17.7ppWin rate · 60.0% → 42.3%

Rating over time

30Days played since 2026-09-09

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches9238+54
Win rate37%47%−10pp
K/D0.940.87+0.08
Headshot %40%40%+0pp

Measured 26 Sep 2026 → 25 Oct 2026; previous 28 Aug 2026 → 26 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim71
Positioning56
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY40–51–9Last 10040%Win rateWLLTWLLWWW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · +2.1pp headshot accuracy · +28ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 592ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 606ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 592ms

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 (+0.9 against its own average).

Aim7.1
Utility5.5
Positioning5.6
Opening Duels3.0

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

Twistzz

Plays most like Twistzz 93% 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. 584ms 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

Aim7.1
Positioning5.6
Utility5.5
Mechanics7.1
Opening Duels5.1
Win Impact2.4

Composite 5.9/10 (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 rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time578ms+34ms
first ⅓ avg 544ms → last ⅓ avg 578ms
Headshot accuracy14.7%−1.1%
first ⅓ avg 15.8% → last ⅓ avg 14.7%

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.

Personal bests

0.16Best match rating · 13–7 · dust2, 24 Oct →
30%Best headshot accuracy · 13–3 · overpass, 24 Sept →
391msFastest reaction time · 4–13 · train, 5 Oct →
13–2Biggest win · ancient, 25 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

vertigoBest map · 56% over 9nukeWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2D196–1332%-0.02
infernoB168–850%-0.01
mirageC145–936%-0.02
cacheB115–645%0.03
ancientC104–640%0.02
vertigoA95–456%0.04
nukeD82–625%-0.01
anubisD72–529%-0.02
train—31–233%-0.03
office—21–150%0.04
overpass—11–0100%0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

106,318Lifetime kills
0.98K/D
6,621Matches
35.1%Match win rate
36.5%Headshot %
6.4%Shot accuracy
10,723MVPs
2,088Hours (in match)
5,695Bombs planted
2,653Bombs defused

Most-used weapons

AK-4728,816
AWP14,928
SSG 082,863
MP92,445
P902,381
MAC-102,353

Lifetime map wins

7,524dust2
7,245nuke
5,271inferno
4,125vertigo
1,931train
964office
217cbble
157italy

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.

15.0%Headshot accuracy
35.3%Accuracy (enemy spotted)
37.8%Spray accuracy
81.8%Counter-strafing
9.2°Preaim
584msReaction time
54.0%T opening success
46.6%CT opening success
0.59Enemies flashed / flash
5.7%Flash assists
9.58HE damage / grenade
7.21Flashes / 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. 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 14.984% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Nuke

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.0117%25 Oct →
dust27–130.0422%25 Oct →
nuke8–130.004%25 Oct →
cache12–120.0620%25 Oct →
mirage13–70.1323%25 Oct →
inferno2–13-0.084%25 Oct →
dust23–13-0.0817%25 Oct →
ancient13–20.0515%25 Oct →
mirage13–4-0.0414%24 Oct →
dust213–70.1617%24 Oct →
anubis6–130.028%24 Oct →
cache12–120.0620%24 Oct →
nuke3–13-0.036%24 Oct →
vertigo13–100.0113%24 Oct →
inferno4–13-0.0510%24 Oct →
dust213–6-0.0213%24 Oct →
cache8–13-0.0519%24 Oct →
mirage13–16-0.0815%23 Oct →
dust29–13-0.0124%23 Oct →
vertigo3–13-0.043%23 Oct →
ancient9–130.0116%23 Oct →
anubis13–4-0.0210%23 Oct →
mirage6–13-0.099%23 Oct →
cache12–120.0613%22 Oct →
inferno13–11-0.0418%22 Oct →
dust213–10-0.0422%22 Oct →
dust212–12-0.0113%21 Oct →
nuke9–13-0.0318%21 Oct →
mirage5–13-0.0420%21 Oct →
cache13–6-0.0112%21 Oct →
mirage13–50.1023%20 Oct →
ancient13–7-0.035%19 Oct →
inferno8–13-0.0720%19 Oct →
train13–70.0516%19 Oct →
dust23–13-0.0417%18 Oct →
mirage6–13-0.1024%18 Oct →
cache11–13-0.0116%18 Oct →
inferno13–90.0320%17 Oct →
mirage8–13-0.015%17 Oct →
dust210–13-0.0111%16 Oct →
inferno13–8-0.0118%15 Oct →
dust212–12-0.1213%15 Oct →
vertigo12–12-0.0811%14 Oct →
mirage10–13-0.0311%14 Oct →
vertigo13–20.1114%14 Oct →
ancient10–130.0412%14 Oct →
dust23–7-0.033%14 Oct →
inferno13–70.0314%14 Oct →
vertigo13–80.1412%14 Oct →
dust27–13-0.0621%13 Oct →
nuke0–13-0.0714%13 Oct →
vertigo7–130.0712%12 Oct →
inferno6–13-0.0211%12 Oct →
nuke7–13-0.0312%12 Oct →
cache9–30.0224%12 Oct →
dust213–7-0.048%12 Oct →
anubis9–13-0.0412%11 Oct →
inferno13–50.084%11 Oct →
cache13–110.0620%10 Oct →
dust28–10.0412%10 Oct →
nuke11–13-0.0216%10 Oct →
ancient3–13-0.0215%10 Oct →
mirage12–12-0.0816%10 Oct →
inferno12–12-0.048%8 Oct →
ancient13–110.0815%8 Oct →
ancient2–11-0.0020%6 Oct →
vertigo10–130.0416%6 Oct →
office13–100.0215%5 Oct →
nuke13–70.0711%5 Oct →
mirage4–13-0.0018%5 Oct →
vertigo12–20.1517%5 Oct →
train4–13-0.0313%5 Oct →
ancient5–13-0.0128%5 Oct →
mirage13–90.0310%5 Oct →
dust27–13-0.0220%4 Oct →
cache13–9-0.0113%4 Oct →
office11–130.0621%2 Oct →
ancient9–130.0220%2 Oct →
inferno12–120.0421%2 Oct →
dust21–13-0.1029%2 Oct →
ancient13–50.0311%30 Sept →
inferno4–13-0.0217%30 Sept →
anubis5–13-0.0315%30 Sept →
nuke13–90.0310%29 Sept →
dust28–13-0.0219%29 Sept →
inferno13–8-0.058%25 Sept →
overpass13–30.0830%24 Sept →
anubis11–13-0.0713%24 Sept →
vertigo13–8-0.0326%23 Sept →
cache13–40.1119%23 Sept →
inferno13–100.0815%20 Sept →
anubis13–110.0314%20 Sept →
inferno13–10-0.049%19 Sept →
anubis10–13-0.0615%19 Sept →
cache9–130.0113%19 Sept →
mirage5–13-0.074%19 Sept →
dust213–50.0014%19 Sept →
train5–13-0.096%13 Sept →
dust27–13-0.0418%13 Sept →
inferno3–130.0111%9 Sept →

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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