BOMBOCLAT

BOMBOCLAT — CS2 Stats

FI76561198403248438[U:1:442982710]Steam profile ↗✓ No bans

1,407Tracked matches52%Win rate2025Tracked since
1,371Hours in CS7Hrs last 2 wks
CSDB Rating3.0 LearningSupport
Premier CS Rating6,676Light Blue band · top ~70.8% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 30 days played since 13 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 6,676 -45 1 Sept20 Sept · 4 days played
6,6196,721peak 6,7211 Sept20 Sept
7,289Peak Premier in tracked matches
30Days played since 2026-07-13

Premier CS Rating

  • 45 below peak (6,721)
  • Next: Blue band at 10,000 3,324 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-20

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,337), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLight Blue band medianBlue band medianvs Blue band
Headshot rate33.3%39.9%41.9%8.6% short
Shot accuracy0.1%6.9%9.6%9.5% short
Kill/death ratio0.800.920.980.18 short
Match win rate43.9%42.3%43.8%meets

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBOMBOCLATPREMIER6,676 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim33
Positioning35
Utility48

0–100 skill scores via Leetify.

Recent form

COLD42553Last 10042%Win rateLLWLWLLWLL

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +0.4pp headshot accuracy · −36ms reaction

Win rate down 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

  • 23 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 600ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 624ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 641ms

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: SupportUtility contribution stands above the rest of this profile (+1.9 against its own average).

Aim3.3
Utility4.8
Positioning3.5
Opening Duels0.0
Clutch3.2

Limited utility dependence

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 67% 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. 614ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim3.3
Positioning3.5
Utility4.8
Mechanics2.4
Opening Duels0.4
Win Impact5.6

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time612ms−45ms
first ⅓ avg 656ms → last ⅓ avg 612ms
Headshot accuracy14.5%+2.9%
first ⅓ avg 11.6% → last ⅓ avg 14.5%

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

0.21Best match rating · 10–1 · nuke, 1 Sept
32%Best headshot accuracy · 13–8 · mirage, 3 Sept
398msFastest reaction time · 11–13 · office, 6 Aug
13–1Biggest win · italy, 10 Aug

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
15In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 67% over 6officeWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB1991047%-0.01
ancientB136746%-0.00
nukeC135838%-0.02
cacheD103730%-0.02
infernoD81713%-0.03
anubisS64267%-0.05
overpassS64267%0.01
officeD6060%-0.00
vertigo4040%-0.07
dust241325%-0.02
italy32167%-0.06
shelter330100%-0.03
train21150%-0.02
fachwerk110100%-0.00
boulder110100%-0.01
eldorado110100%0.12

Across the last 100 tracked matches.

Lifetime stats

24,418Lifetime kills
0.80K/D
2,087Matches
43.9%Match win rate · Top 50% of Light Blue band
33.3%Headshot %
0.1%Shot accuracy
3,860MVPs
689Hours (in match)
2,742Bombs planted
425Bombs defused

Most-used weapons

Lifetime map wins

2,816nuke
1,998inferno
1,109vertigo
986dust2
911office
620train
456italy
21cbble

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

Faceit stats

Combat

93Matches
45%Win rate
0.77Avg K/D
65.9ADR
40%Headshot %

Clutches & streaks

36%1v1 clutch win
5%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3238%0.7310.8
Cache2143%0.6711.7
Ancient1457%0.9715.0
Nuke1233%0.6510.7
Anubis1060%0.9112.3
Inferno250%0.7612.5
Dust21100%1.0014.0
Vertigo1100%1.0014.0

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.

14.6%Headshot accuracy
30.9%Accuracy (enemy spotted)
35.9%Spray accuracy
60.8%Counter-strafing
12.2°Preaim
614msReaction time
33.5%T opening success
27.5%CT opening success
0.58Enemies flashed / flash
1.4%Flash assists
11.87HE damage / grenade
4.74Flashes / 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 12.2204° — 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 14.6144% — below the 15% mark we flag

    Aim Training
Spend your practice time on Inferno

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0115%17 Sept
ancient10–13-0.0211%17 Sept
mirage13–90.0118%16 Sept
ancient10–13-0.0112%16 Sept
anubis13–3-0.008%16 Sept
nuke8–130.0516%16 Sept
ancient10–13-0.0418%10 Sept
overpass13–50.0916%10 Sept
vertigo7–13-0.0927%3 Sept
inferno11–13-0.0120%3 Sept
ancient3–130.0321%3 Sept
ancient13–50.0420%3 Sept
cache8–13-0.0613%3 Sept
mirage13–8-0.0432%3 Sept
nuke13–70.0115%2 Sept
anubis13–8-0.104%2 Sept
mirage7–130.0414%2 Sept
inferno16–13-0.039%1 Sept
cache13–90.0614%1 Sept
dust23–130.0414%1 Sept
mirage13–40.0613%1 Sept
anubis3–13-0.057%1 Sept
mirage13–50.0316%1 Sept
nuke10–10.216%1 Sept
overpass13–10-0.048%25 Aug
inferno4–130.0118%25 Aug
ancient13–70.049%25 Aug
fachwerk13–9-0.0021%24 Aug
inferno1–13-0.0710%24 Aug
office12–120.0012%20 Aug
ancient13–90.0112%20 Aug
cache6–130.0013%20 Aug
train7–13-0.0118%20 Aug
mirage13–8-0.0132%18 Aug
train13–6-0.047%18 Aug
italy13–9-0.109%18 Aug
boulder13–8-0.019%18 Aug
overpass8–00.037%18 Aug
shelter2–0-0.080%18 Aug
nuke13–10-0.080%18 Aug
mirage9–13-0.0315%17 Aug
nuke8–13-0.0612%17 Aug
cache5–13-0.035%16 Aug
overpass13–70.0215%16 Aug
inferno7–13-0.0119%16 Aug
office9–13-0.048%13 Aug
nuke13–8-0.095%13 Aug
cache9–13-0.0812%10 Aug
shelter13–90.0110%10 Aug
italy13–10.0313%10 Aug
office7–130.1112%6 Aug
vertigo3–13-0.114%6 Aug
office11–13-0.043%6 Aug
anubis13–10-0.0721%4 Aug
nuke6–13-0.0510%4 Aug
dust213–9-0.0210%4 Aug
vertigo8–13-0.0413%4 Aug
overpass12–12-0.0213%4 Aug
italy1–13-0.118%4 Aug
cache13–7-0.070%3 Aug
mirage15–15-0.036%3 Aug
nuke5–13-0.0715%30 Jul
mirage13–5-0.0215%29 Jul
office11–13-0.0118%29 Jul
inferno5–13-0.0715%29 Jul
mirage7–130.018%29 Jul
ancient9–13-0.046%27 Jul
mirage0–13-0.0716%27 Jul
nuke6–13-0.045%26 Jul
vertigo2–13-0.0414%26 Jul
mirage13–2-0.0011%26 Jul
nuke9–130.017%23 Jul
mirage11–13-0.069%23 Jul
ancient19–160.0320%22 Jul
cache10–13-0.029%22 Jul
mirage16–120.038%22 Jul
cache4–13-0.036%21 Jul
ancient7–13-0.0210%21 Jul
overpass8–130.0116%21 Jul
inferno7–13-0.068%21 Jul
nuke13–60.0214%20 Jul
anubis13–6-0.037%20 Jul
mirage13–40.009%20 Jul
office9–13-0.0413%19 Jul
ancient12–9-0.042%16 Jul
ancient0–13-0.0425%16 Jul
nuke8–13-0.0510%16 Jul
eldorado9–50.129%16 Jul
cache8–13-0.0317%15 Jul
dust210–13-0.0519%15 Jul
shelter13–7-0.0116%14 Jul
nuke6–13-0.078%14 Jul
mirage6–13-0.027%14 Jul
dust28–13-0.0411%14 Jul
mirage13–16-0.0310%14 Jul
anubis12–16-0.0511%13 Jul
cache13–80.0514%13 Jul
mirage8–13-0.0311%13 Jul
inferno11–13-0.0217%13 Jul
ancient13–30.0010%13 Jul

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 →