Thrak Bungulus

Thrak Bungulus — CS2 Stats

US76561198040838761[U:1:80573033]Steam profile ↗✓ No bans

464Tracked matches52%Win rate2021Tracked since
851Hours in CS2Hrs last 2 wks
CSDB Rating4.7 DevelopingSupport
Premier CS Rating20,000Pink band · top ~8.5% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGThrak BungulusPREMIER20,000 · Pink bandcsdb.gg/stats

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Performance scores

Aim53
Positioning42
Utility43

0–100 skill scores via Leetify.

Recent form

COLD46–49–5Last 10046%Win rateWWLLLWLLLL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −0.8pp headshot accuracy · −81ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 560ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 21%
  • Avg reaction 583ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 624ms

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: Support — Utility contribution stands above the rest of this profile (+1.7 against its own average).

Aim5.3
Utility4.3
Positioning4.2
Opening Duels0.0
Clutch1.8

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

iM

Plays most like iM 84% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 620ms 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

Aim5.3
Positioning4.2
Utility4.3
Mechanics5.6
Opening Duels1.0
Win Impact5.6

Composite 4.7/10 (Developing), 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-0.04−0.03
first ⅓ avg -0.00 → last ⅓ avg -0.04
Reaction time642ms−19ms
first ⅓ avg 661ms → last ⅓ avg 642ms
Headshot accuracy19.9%+5.4%
first ⅓ avg 14.5% → last ⅓ avg 19.9%

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

0.18Best match rating · 9–5 · overpass, 7 Sept →
67%Best headshot accuracy · 5–9 · vertigo, 14 Oct →
453msFastest reaction time · 5–13 · inferno, 24 Oct →
13–1Biggest win · ancient, 13 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
7–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 67% over 6dust2Weakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
nukeB2411–1346%-0.03
infernoD217–1433%-0.03
dust2D134–931%-0.01
overpassA74–357%0.03
ancientS64–267%-0.01
mirageB63–350%-0.05
cacheS64–267%-0.01
trainA53–260%0.00
vertigo—42–250%0.02
poseidon—32–167%-0.01
eldorado—21–150%0.05
anubis—21–150%-0.01
debris—10–10%-0.14

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,798Lifetime kills
1.03K/D
1,800Matches
37.3%Match win rate
42.2%Headshot %
17.8%Shot accuracy
3,131MVPs
1,273Hours (in match)
1,214Bombs planted
378Bombs defused

Most-used weapons

Lifetime map wins

2,099inferno
1,251vertigo
1,137nuke
1,119dust2
478train
163cbble
88office
82lake

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

Faceit stats

Combat

48Matches
62%Win rate
0.98Avg K/D
67.3ADR
35%Headshot %

Clutches & streaks

29%1v1 clutch win
0%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo20%0.589.0
Cache1100%1.1820.0
Inferno10%0.8814.0
Mirage10%0.5910.0
Nuke1100%0.9313.0
Dust210%0.8012.0
Overpass1100%0.8113.0
Ancient10%0.5910.0

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.

15.3%Headshot accuracy
34.3%Accuracy (enemy spotted)
33.4%Spray accuracy
75.1%Counter-strafing
10.8°Preaim
620msReaction time
38.2%T opening success
27.9%CT opening success
0.53Enemies flashed / flash
1.8%Flash assists
8.01HE damage / grenade
6.80Flashes / 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 38.2428% — 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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–2-0.0325%15 Nov →
ancient13–6-0.0115%13 Nov →
dust27–13-0.0323%7 Nov →
mirage6–11-0.0319%1 Nov →
mirage2–13-0.0721%1 Nov →
nuke13–60.0121%31 Oct →
inferno5–13-0.0324%24 Oct →
inferno3–9-0.1713%14 Oct →
nuke1–9-0.2033%14 Oct →
inferno4–9-0.0315%14 Oct →
nuke6–9-0.0022%14 Oct →
vertigo5–9-0.0667%14 Oct →
inferno7–90.0127%14 Oct →
cache13–11-0.0112%9 Oct →
nuke13–9-0.0223%9 Oct →
dust210–13-0.0413%9 Oct →
nuke5–13-0.0624%6 Oct →
inferno13–10-0.018%6 Oct →
dust28–13-0.0212%4 Oct →
mirage13–11-0.0312%4 Oct →
nuke7–9-0.0731%4 Oct →
inferno9–7-0.0033%4 Oct →
mirage7–13-0.088%4 Oct →
inferno7–130.0013%4 Oct →
cache16–130.0317%4 Oct →
ancient9–13-0.035%4 Oct →
vertigo11–13-0.0515%4 Oct →
dust27–13-0.0217%3 Oct →
nuke13–7-0.0613%3 Oct →
overpass13–9-0.049%3 Oct →
nuke1–9-0.2310%3 Oct →
nuke9–50.0825%3 Oct →
eldorado9–20.1231%3 Oct →
inferno2–9-0.1315%3 Oct →
dust23–13-0.0813%1 Oct →
dust212–12-0.0020%1 Oct →
vertigo9–10.1436%30 Sept →
poseidon9–20.0712%30 Sept →
inferno6–9-0.064%30 Sept →
inferno8–8-0.1418%30 Sept →
nuke8–13-0.0413%20 Sept →
nuke13–90.0316%20 Sept →
nuke13–10-0.0212%16 Sept →
inferno13–9-0.0119%16 Sept →
anubis13–11-0.058%8 Sept →
nuke13–60.0319%8 Sept →
ancient13–80.039%8 Sept →
debris5–9-0.1417%7 Sept →
overpass9–50.1827%7 Sept →
overpass4–9-0.0327%7 Sept →
eldorado8–8-0.025%7 Sept →
vertigo9–70.0415%7 Sept →
poseidon9–40.0519%7 Sept →
poseidon4–9-0.1313%7 Sept →
nuke9–4-0.0112%7 Sept →
inferno9–20.1427%7 Sept →
inferno4–9-0.1317%7 Sept →
nuke3–9-0.1018%7 Sept →
cache8–13-0.0317%6 Sept →
ancient13–10-0.0118%3 Sept →
inferno13–100.0217%2 Sept →
cache7–13-0.0314%2 Sept →
cache13–11-0.048%30 Aug →
nuke16–14-0.0216%28 Aug →
dust211–130.0121%25 Aug →
cache16–130.0210%8 Aug →
nuke4–13-0.0410%19 Oct →
mirage10–4-0.0520%25 Sept →
dust29–13-0.0612%25 Sept →
inferno8–13-0.0421%4 Aug →
train13–80.0217%4 Aug →
overpass11–130.0715%2 Aug →
nuke15–150.0419%2 Aug →
dust213–70.0318%28 Jul →
train13–70.0317%28 Jul →
ancient9–13-0.0610%28 Jul →
inferno6–13-0.0213%27 Jul →
mirage13–7-0.0317%26 Jul →
overpass8–130.0414%26 Jul →
nuke6–13-0.084%25 Jul →
overpass13–5-0.0112%25 Jul →
nuke13–40.0111%20 Jul →
inferno13–100.0220%20 Jul →
train9–130.019%20 Jul →
train6–13-0.0513%20 Jul →
train13–4-0.018%20 Jul →
dust23–13-0.0810%20 Jul →
nuke10–13-0.0412%20 Jul →
nuke9–30.0224%18 Jul →
inferno7–90.028%18 Jul →
inferno15–15-0.0213%17 Jul →
nuke12–16-0.0315%17 Jul →
overpass13–10-0.0012%17 Jul →
dust213–70.0920%13 Jul →
ancient13–10.0113%13 Jul →
inferno11–13-0.0113%13 Jul →
nuke4–130.0021%13 Jul →
inferno13–60.0716%12 Jul →
anubis7–130.029%12 Jul →
dust213–10.0427%6 Jul →

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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