Butcher

Butcher — CS2 Stats

CL76561198074632332[U:1:114366604]Steam profile ↗✓ No bans

2,036Tracked matches60%Win rate2020Tracked since
3,717Hours in CS14Hrs last 2 wks
CSDB Rating5.9 SolidSupport
Premier CS Rating27,510Top 5% of 213,399 CSDB-tracked playersRed band · top ~1.8% of ranked players (population est.)
CSDB Leaderboard#4356 of 260010 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

+962Premier CS Rating · 26,548 → 27,510

Rating over time

Premier CS Rating: 27,510 -64 28 Aug – 5 Nov · 30 days played
19,51027,574peak 27,57428 Aug5 Nov
27,800Peak Premier in tracked matches
22Days played since 2026-08-28

Premier CS Rating

  • 64 below peak (27,574)
  • +1,889 over 30 days · improving
  • Next: Gold band at 30,000 — 2,490 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-28
  • Pink band first seen 2026-08-28

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 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate59.6%48.2%50.9%above
Shot accuracy11.7%13.2%13.7%2.0% short
Kill/death ratio1.691.071.09above
Match win rate48.7%46.9%48.4%meets

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGButcherFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER27,510 · Red 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

Aim71
Positioning49
Utility57

0–100 skill scores via Leetify.

Recent form

HOT55–40–5Last 10055%Win rateWWWWLLWWLW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · −2.2pp headshot accuracy · −31ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 492ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 518ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 534ms

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 (+2.4 against its own average).

Aim7.1
Utility5.7
Positioning4.9
Opening Duels0.1
Clutch2.6

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

iM

Plays most like iM 77% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.1
Positioning4.9
Utility5.7
Mechanics4.9
Opening Duels0.7
Win Impact8.3

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time501ms−3ms
first ⅓ avg 504ms → last ⅓ avg 501ms
Headshot accuracy16.1%−2.0%
first ⅓ avg 18.1% → last ⅓ avg 16.1%

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

0.15Best match rating · 13–6 · vertigo, 23 Sept →
43%Best headshot accuracy · 1–13 · mirage, 21 Sept →
375msFastest reaction time · 13–4 · ancient, 16 Oct →
13–1Biggest win · ancient, 7 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
10–5In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 100% over 6cacheWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageA2011–955%-0.01
nukeC198–1142%-0.01
dust2B158–753%-0.01
cacheC145–936%0.01
anubisS1311–285%0.02
ancientC114–736%-0.01
infernoS66–0100%0.01
vertigo—22–0100%0.07

Across the last 100 tracked matches.

Lifetime stats

148,748Lifetime kills
1.69K/D · Top 5% of Level 9 players
4,918Matches
48.7%Match win rate · Top 50% of Level 9 players
59.6%Headshot % · Top 25% of Level 9 players
11.7%Shot accuracy
11,408MVPs
2,097Hours (in match)
4,978Bombs planted
1,161Bombs defused

Most-used weapons

AK-4777,146
AWP7,730
MP94,277
MAC-103,461
FAMAS2,547
P902,364

Lifetime map wins

9,291dust2
6,850nuke
2,974inferno
937vertigo
837lake
596train
453office
280cbble

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

Faceit stats

Combat

460Matches
54%Win rate
0.99Avg K/D
78.2ADR
42%Headshot %

Clutches & streaks

33%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage9948%0.9114.2
Dust24854%0.9313.3
Anubis3855%1.0515.0
Nuke3171%1.0317.0
Inferno1747%0.8813.9
Ancient1450%1.1716.4
Overpass475%1.4218.3
Vertigo425%1.0220.0

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.

15.9%Headshot accuracy
35.0%Accuracy (enemy spotted)
38.6%Spray accuracy
72.2%Counter-strafing
10.0°Preaim
493msReaction time
35.5%T opening success
30.3%CT opening success
0.44Enemies flashed / flash
4.9%Flash assists
5.97HE damage / grenade
9.68Flashes / 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 0.4396 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 35.4655% — below the 40% mark we flag

Spend your practice time on Cache

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis13–8-0.0115%5 Nov →
mirage16–14-0.0113%5 Nov →
anubis13–80.0314%5 Nov →
dust213–80.0615%5 Nov →
mirage3–13-0.036%3 Nov →
dust26–130.0014%3 Nov →
ancient13–60.0015%30 Oct →
dust213–5-0.0119%30 Oct →
cache13–16-0.0213%27 Oct →
inferno13–50.0126%27 Oct →
nuke7–13-0.0319%27 Oct →
nuke7–13-0.0619%26 Oct →
mirage9–13-0.0520%26 Oct →
dust25–13-0.0215%26 Oct →
nuke10–13-0.048%20 Oct →
cache7–130.0028%20 Oct →
mirage13–7-0.0713%20 Oct →
cache2–00.1420%20 Oct →
cache13–3-0.0318%20 Oct →
ancient8–13-0.0212%20 Oct →
ancient13–6-0.0320%16 Oct →
nuke13–100.0411%16 Oct →
cache13–10-0.0513%16 Oct →
inferno13–9-0.0217%16 Oct →
anubis13–7-0.0315%16 Oct →
ancient13–40.0817%16 Oct →
nuke3–13-0.0819%16 Oct →
mirage13–30.0318%15 Oct →
nuke13–50.0824%15 Oct →
anubis14–160.0114%15 Oct →
anubis13–70.0314%14 Oct →
nuke13–6-0.0417%14 Oct →
mirage9–13-0.0313%14 Oct →
mirage3–13-0.087%14 Oct →
dust211–13-0.0122%14 Oct →
mirage13–60.0228%14 Oct →
cache11–13-0.0512%14 Oct →
dust215–15-0.065%14 Oct →
dust213–100.0116%13 Oct →
dust23–130.044%9 Oct →
ancient8–130.0112%9 Oct →
anubis13–110.0118%9 Oct →
mirage5–30.0213%9 Oct →
nuke13–90.0615%9 Oct →
mirage13–90.1323%9 Oct →
nuke5–13-0.039%7 Oct →
ancient8–13-0.067%7 Oct →
anubis13–50.039%7 Oct →
ancient13–10.0417%7 Oct →
inferno13–11-0.0515%7 Oct →
nuke13–4-0.0116%7 Oct →
inferno13–30.0317%7 Oct →
dust213–2-0.0324%7 Oct →
mirage9–130.0113%6 Oct →
nuke8–13-0.048%6 Oct →
cache4–13-0.0517%6 Oct →
nuke16–140.0213%3 Oct →
cache15–150.0314%3 Oct →
ancient15–15-0.0116%2 Oct →
cache13–70.0418%2 Oct →
dust213–9-0.0421%2 Oct →
anubis13–50.029%2 Oct →
anubis13–4-0.0117%2 Oct →
mirage14–16-0.0016%2 Oct →
ancient8–130.0118%28 Sept →
cache13–110.0111%28 Sept →
mirage13–20.0523%28 Sept →
mirage10–13-0.0113%28 Sept →
anubis10–13-0.0216%28 Sept →
cache8–13-0.0223%28 Sept →
nuke13–90.0724%28 Sept →
mirage13–110.0016%28 Sept →
mirage13–60.0121%26 Sept →
mirage6–13-0.0712%26 Sept →
cache15–15-0.0019%26 Sept →
dust24–13-0.0920%26 Sept →
inferno13–90.0222%25 Sept →
dust213–60.0914%25 Sept →
nuke8–13-0.0712%25 Sept →
ancient7–13-0.037%25 Sept →
mirage13–1-0.0013%25 Sept →
nuke11–130.0217%24 Sept →
nuke13–100.0113%24 Sept →
anubis16–130.0214%24 Sept →
nuke5–13-0.0410%24 Sept →
dust25–13-0.0518%24 Sept →
anubis13–70.0520%24 Sept →
ancient10–13-0.0622%24 Sept →
cache7–130.0525%24 Sept →
nuke9–130.0320%23 Sept →
cache15–150.0214%23 Sept →
vertigo13–60.1525%23 Sept →
vertigo13–8-0.0121%23 Sept →
mirage16–140.0515%22 Sept →
dust213–9-0.0022%22 Sept →
anubis13–40.0816%21 Sept →
nuke2–13-0.0611%21 Sept →
mirage1–13-0.0743%21 Sept →
inferno13–90.0521%21 Sept →
dust213–11-0.0319%21 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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