バケモノ

バケモノ — CS2 Stats

WF76561198981780576[U:1:1021514848]Steam profile ↗✓ No bans

2,055Tracked matches47%Win rate2022Tracked since
1,957Hours in CS9Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating16,654Purple band · top ~21.8% of ranked players (population est.)
FaceitLevel 7 · 1,457 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

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

Rating over time

Premier CS Rating: 16,654 +1,761 22 Aug – 13 Oct · 26 days played
13,53816,654peak 16,65422 Aug13 Oct
16,654Peak Premier in tracked matches
1,457Highest Faceit ELO seen on CSDB
28Days played since 2026-08-22

Faceit ELO

  • At peak — 1,457
  • Next: Level 8 at 1,531 — 74 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • At peak — 16,654
  • +1,267 over 30 days · improving
  • Next: Pink band at 20,000 — 3,346 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Level 7 among CSDB-tracked players (n=14,138), 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 playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate36.7%45.7%46.8%10.1% short
Shot accuracy8.4%12.7%13.0%4.6% short
Kill/death ratio1.071.051.06meets
Match win rate46.1%45.7%46.3%meets

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGバケモノFACEITLevel 7 · 1,457 ELOSTANDINGTop 42.3% of rankedPREMIER16,654 · Purple bandPEAK ELO1,457csdb.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

Aim68
Positioning63
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY43–50–7Last 10043%Win rateWLWWLLWWLW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +0.4pp headshot accuracy · +38ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 602ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 587ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 568ms

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).

Aim6.8
Utility5.4
Positioning6.3
Opening Duels4.8
Clutch4.6

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

jL

Plays most like jL 88% 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. 583ms 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

Aim6.8
Positioning6.3
Utility5.4
Mechanics5.3
Opening Duels6.4
Win Impact3.9

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-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time581ms+2ms
first ⅓ avg 579ms → last ⅓ avg 581ms
Headshot accuracy17.1%+1.4%
first ⅓ avg 15.7% → last ⅓ avg 17.1%

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 · 9–4 · debris, 8 Sept →
42%Best headshot accuracy · 7–13 · ancient, 14 Sept →
188msFastest reaction time · 0–13 · boulder, 8 Sept →
13–4Biggest win · nuke, 7 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 55% over 11infernoWeakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
infernoC207–1335%-0.01
ancientB178–947%0.01
nukeB136–746%-0.04
mirageB126–650%0.00
cacheA116–555%0.01
anubisC104–640%-0.04
dust2—40–40%-0.02
fachwerk—21–150%-0.01
boulder—21–150%0.01
vertigo—21–150%0.01
office—20–20%-0.07
train—10–10%-0.06
poseidon—10–10%-0.05
overpass—11–0100%-0.00
shelter—11–0100%-0.04
debris—11–0100%0.21

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,384Lifetime kills
1.07K/D · Top 50% of Level 7 players
2,865Matches
46.1%Match win rate · Top 50% of Level 7 players
36.7%Headshot %
8.4%Shot accuracy
6,550MVPs
1,154Hours (in match)
3,037Bombs planted
701Bombs defused

Most-used weapons

Lifetime map wins

4,320inferno
4,002nuke
1,855dust2
1,829vertigo
1,016train
431office
87cbble
54italy

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

Faceit stats

Combat

166Matches
51%Win rate
1.39Avg K/D
93.8ADR
34%Headshot %

Clutches & streaks

43%1v1 clutch win
27%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient3967%1.6320.1
Nuke2650%1.5319.6
Mirage1937%1.3019.5
Inferno1833%1.0618.6
Anubis1650%1.4320.2
Dust21553%1.5723.3
Overpass956%1.2418.8
Train617%0.9813.7

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.

16.9%Headshot accuracy
35.4%Accuracy (enemy spotted)
36.8%Spray accuracy
73.9%Counter-strafing
9.0°Preaim
583msReaction time
54.9%T opening success
56.5%CT opening success
0.48Enemies flashed / flash
5.1%Flash assists
10.72HE damage / grenade
7.28Flashes / 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 0.4833 — below the 0.5 mark we flag

    Grenade Lineups →
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.

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–6-0.0315%13 Oct →
mirage7–13-0.0819%13 Oct →
mirage13–9-0.0616%8 Oct →
mirage13–80.0816%8 Oct →
anubis8–130.0115%8 Oct →
train9–13-0.0612%7 Oct →
nuke13–4-0.0723%7 Oct →
anubis13–4-0.0315%7 Oct →
dust23–13-0.0119%6 Oct →
inferno13–110.0411%6 Oct →
inferno11–13-0.0121%5 Oct →
dust26–13-0.0418%5 Oct →
inferno11–130.0418%5 Oct →
mirage10–13-0.0010%30 Sept →
ancient13–100.069%30 Sept →
cache13–40.0013%30 Sept →
anubis8–13-0.0410%26 Sept →
inferno9–13-0.0321%26 Sept →
nuke13–11-0.0313%24 Sept →
inferno13–50.0324%24 Sept →
ancient10–13-0.0611%24 Sept →
ancient13–40.0714%24 Sept →
nuke10–13-0.0319%22 Sept →
inferno9–130.0736%22 Sept →
fachwerk6–13-0.0216%22 Sept →
boulder13–50.0220%22 Sept →
cache6–13-0.0229%21 Sept →
ancient9–130.0018%21 Sept →
inferno13–60.1019%21 Sept →
mirage13–100.0612%21 Sept →
ancient2–130.0213%18 Sept →
inferno4–130.0427%18 Sept →
nuke0–13-0.1213%18 Sept →
inferno13–100.0115%18 Sept →
ancient13–8-0.0221%18 Sept →
inferno15–15-0.074%15 Sept →
anubis9–13-0.0627%15 Sept →
ancient4–13-0.0414%15 Sept →
ancient13–7-0.0216%15 Sept →
cache13–110.0921%14 Sept →
ancient7–130.0542%14 Sept →
dust25–130.0126%14 Sept →
nuke2–9-0.2013%13 Sept →
inferno8–8-0.1219%13 Sept →
mirage14–160.0118%12 Sept →
inferno1–13-0.1022%12 Sept →
ancient13–100.0616%12 Sept →
anubis7–20.0124%12 Sept →
vertigo5–90.0321%12 Sept →
poseidon8–8-0.0515%12 Sept →
inferno8–80.0512%12 Sept →
nuke2–9-0.1517%12 Sept →
nuke13–11-0.0110%11 Sept →
nuke13–80.0914%11 Sept →
inferno3–13-0.0910%11 Sept →
cache5–13-0.0415%10 Sept →
inferno13–5-0.064%10 Sept →
ancient13–6-0.026%10 Sept →
anubis13–9-0.0314%10 Sept →
ancient13–4-0.018%10 Sept →
cache11–13-0.0315%9 Sept →
overpass13–11-0.0023%9 Sept →
ancient4–13-0.0126%9 Sept →
anubis13–6-0.0716%9 Sept →
mirage6–13-0.0322%9 Sept →
boulder0–13-0.0110%8 Sept →
vertigo13–4-0.0114%8 Sept →
fachwerk13–100.0018%8 Sept →
office2–13-0.0514%8 Sept →
shelter13–7-0.0420%8 Sept →
debris9–40.2121%8 Sept →
nuke9–50.0422%8 Sept →
office12–12-0.0916%7 Sept →
inferno11–13-0.0414%7 Sept →
cache13–70.088%7 Sept →
mirage13–50.0721%7 Sept →
inferno11–13-0.0613%7 Sept →
anubis10–130.003%7 Sept →
nuke8–130.0315%6 Sept →
cache13–110.0115%6 Sept →
ancient9–13-0.0217%6 Sept →
mirage13–110.027%5 Sept →
ancient11–130.1112%5 Sept →
cache12–120.1414%5 Sept →
cache13–9-0.0221%4 Sept →
nuke13–60.0512%4 Sept →
mirage10–130.0819%4 Sept →
anubis8–13-0.0613%31 Aug →
inferno8–13-0.0924%31 Aug →
inferno13–7-0.0513%26 Aug →
dust210–13-0.0412%26 Aug →
cache3–13-0.0424%24 Aug →
nuke15–15-0.0114%24 Aug →
ancient13–160.0611%24 Aug →
anubis11–13-0.099%23 Aug →
ancient13–100.0122%23 Aug →
mirage7–13-0.0720%23 Aug →
nuke9–13-0.0624%22 Aug →
cache16–13-0.0312%22 Aug →
inferno7–10.0516%22 Aug →

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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