Bunta

Bunta — CS2 Stats

76561198274546740[U:1:314281012]Steam profile ↗✓ No bans

596Tracked matches46%Win rate2020Tracked since
678Hours in CS3Hrs last 2 wks
CSDB Rating6.5 SolidPositional Player
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

+17Tracked matches · now 596
−6.9ppWin rate · 53.3% → 46.4%

Rating over time

43Days played since 2026-04-16

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

Performance scores

Aim81
Positioning61
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY47–44–9Last 10047%Win rateTWWTLWWLLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −1.3pp headshot accuracy · +14ms 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

  • 2–1–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 556ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 572ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 565ms

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 (+1 against its own average).

Aim8.1
Utility4.4
Positioning6.1
Opening Duels4.9

Strong CT-side opener

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

m0NESY

Plays most like m0NESY 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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. 572ms 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

Aim8.1
Positioning6.1
Utility4.4
Mechanics7.6
Opening Duels6.4
Win Impact3.8

Composite 6.5/10 (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 rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time580ms−10ms
first ⅓ avg 590ms → last ⅓ avg 580ms
Headshot accuracy20.4%−1.8%
first ⅓ avg 22.2% → last ⅓ avg 20.4%

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.

Personal bests

0.20Best match rating · 13–2 · cache, 20 May →
57%Best headshot accuracy · 13–3 · inferno, 22 Apr →
391msFastest reaction time · 13–11 · inferno, 22 Apr →
13–1Biggest win · mirage, 22 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 55% over 22trainWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC229–1341%0.03
dust2A2212–1055%0.04
cacheB179–853%0.04
mirageD93–633%0.00
trainD82–625%0.01
nukeC52–340%0.05
anubisC52–340%0.03
ancient—43–175%0.07
overpass—43–175%0.06
fachwerk—21–150%-0.01
vertigo—21–150%0.01

Across the last 100 tracked matches.

Lifetime stats

24,657Lifetime kills
1.38K/D · Top 10% of tracked players
1,175Matches
49.6%Match win rate · Top 25% of tracked players
43.7%Headshot % · Top 50% of tracked players
14.1%Shot accuracy · Top 50% of tracked players
3,238MVPs
395Hours (in match)
1,075Bombs planted
260Bombs defused

Most-used weapons

AK-476,722
AWP2,776
MP91,165
Knife491
P250442

Lifetime map wins

1,950inferno
1,410dust2
431train
416vertigo
366nuke
253cbble
106lake
22safehouse

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.

19.9%Headshot accuracy
35.5%Accuracy (enemy spotted)
37.7%Spray accuracy
84.0%Counter-strafing
8.4°Preaim
572msReaction time
49.8%T opening success
61.6%CT opening success
0.34Enemies flashed / flash
5.7%Flash assists
10.35HE damage / grenade
7.63Flashes / 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 0.3419 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Train

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.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient15–150.0517%20 Oct →
cache13–3-0.0219%15 Oct →
ancient13–60.0825%15 Oct →
inferno12–120.0221%15 Oct →
mirage7–13-0.0711%11 Oct →
dust213–40.0815%11 Oct →
cache13–6-0.046%10 Oct →
dust210–13-0.0412%10 Oct →
nuke6–130.1021%10 Oct →
anubis13–110.0333%8 Oct →
inferno13–9-0.0226%6 Oct →
cache11–130.0323%24 Sept →
inferno13–60.1019%23 Sept →
mirage12–60.0219%21 Sept →
inferno9–13-0.0329%21 Sept →
cache5–130.0318%21 Sept →
anubis1–130.0221%21 Sept →
train10–130.0415%4 Sept →
dust213–4-0.0311%2 Sept →
mirage3–13-0.0813%22 Aug →
mirage4–13-0.067%22 Aug →
train3–13-0.0641%22 Aug →
train4–13-0.0631%22 Aug →
cache8–130.0735%9 Aug →
fachwerk5–13-0.0611%3 Aug →
dust213–100.0713%30 Jul →
dust213–30.069%30 Jul →
dust28–130.0420%30 Jul →
fachwerk13–40.0428%26 Jul →
cache13–90.0926%26 Jul →
dust213–110.0525%19 Jul →
inferno1–13-0.0716%19 Jul →
cache13–80.0239%15 Jul →
cache13–5-0.0529%15 Jul →
cache11–130.0625%15 Jul →
cache13–9-0.0118%13 Jul →
overpass13–100.1219%13 Jul →
inferno13–20.0344%8 Jul →
dust213–90.0526%8 Jul →
dust211–130.0020%1 Jul →
dust210–130.1322%30 Jun →
inferno9–130.0923%30 Jun →
dust213–50.0313%28 Jun →
inferno13–60.1325%28 Jun →
dust213–100.0319%27 Jun →
inferno3–13-0.0115%27 Jun →
overpass13–80.1315%27 Jun →
dust29–8-0.029%23 Jun →
inferno8–130.009%23 Jun →
inferno5–130.0517%22 Jun →
cache12–120.1723%16 Jun →
dust26–13-0.0332%16 Jun →
inferno5–130.0511%15 Jun →
dust28–130.0514%15 Jun →
inferno11–130.0427%15 Jun →
inferno12–120.0617%10 Jun →
dust213–80.0827%10 Jun →
cache12–120.0525%31 May →
mirage13–80.0224%30 May →
dust24–130.0114%30 May →
anubis8–13-0.0133%21 May →
train0–13-0.0742%21 May →
inferno8–13-0.0116%21 May →
dust213–8-0.0116%21 May →
cache13–20.2036%20 May →
overpass13–30.0417%20 May →
inferno13–60.0042%19 May →
dust213–20.1419%19 May →
inferno3–13-0.0521%18 May →
vertigo13–40.0119%18 May →
train9–13-0.0215%18 May →
inferno13–50.1127%18 May →
nuke11–130.0417%18 May →
cache9–13-0.0523%18 May →
mirage12–120.0529%18 May →
cache13–40.0832%16 May →
inferno5–50.0746%16 May →
dust212–120.0724%16 May →
train2–13-0.0215%15 May →
ancient13–50.1421%12 May →
anubis7–130.0514%12 May →
mirage12–120.1530%12 May →
cache13–2-0.0327%12 May →
dust27–130.0313%12 May →
cache10–130.0818%5 May →
mirage5–130.0117%5 May →
nuke13–30.1217%22 Apr →
mirage13–1-0.0027%22 Apr →
train13–50.1719%22 Apr →
inferno13–3-0.0157%22 Apr →
inferno13–110.0617%22 Apr →
dust210–13-0.0117%22 Apr →
overpass1–13-0.0614%22 Apr →
nuke13–4-0.0022%20 Apr →
train13–50.0622%20 Apr →
anubis13–90.0914%20 Apr →
nuke11–13-0.0221%20 Apr →
inferno9–13-0.0622%17 Apr →
ancient13–20.0218%16 Apr →
vertigo12–120.0117%16 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

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