MR STEAL UR KILL

MR STEAL UR KILL — CS2 Stats

BH76561198004246026[U:1:43980298]Steam profile ↗✓ No bans

4,199Tracked matches30%Win rate2022Tracked since
3,002Hours in CS
CSDB Rating2.9 LearningPositional Player
Premier CS Rating2,574Grey band · top ~89.1% of ranked players (population est.)
FaceitLevel 7 · 1,504 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (2 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.

Rating over time

Premier CS Rating: 2,574 -65 6 Oct – 13 Nov · 6 days played
2,5743,712peak 3,7126 Oct13 Nov
3,865Peak Premier in tracked matches
1,504Highest Faceit ELO seen on CSDB
23Days played since 2026-09-05

Faceit ELO

  • At peak — 1,504
  • Next: Level 8 at 1,531 — 27 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-13
  • Level 6 first seen 2026-09-13

Premier CS Rating

  • 1,138 below peak (3,712)
  • -905 over 30 days · declining
  • Next: Light Blue band at 5,000 — 2,426 to go

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,948), 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 rate42.9%45.7%46.8%3.9% short
Shot accuracy5.9%12.7%13.0%7.1% short
Kill/death ratio1.051.051.06meets
Match win rate45.4%45.7%46.3%0.9% short

This profile matches the typical Level 8 player on 1 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.GGMR STEAL UR KILLFACEITLevel 7 · 1,504 ELOSTANDINGTop 42.3% of rankedPREMIER2,574 · Grey bandPEAK ELO1,504csdb.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

Aim26
Positioning57
Utility36

0–100 skill scores via Leetify.

Recent form

COLD25–67–8Last 10025%Win rateLLLLLLLLWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +4.0pp headshot accuracy · +64ms reaction

Win rate down 20pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 26%
  • Avg reaction 736ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 683ms

Last 20

  • 4–16 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 651ms

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 (+1.9 against its own average).

Aim2.6
Utility3.6
Positioning5.7
Opening Duels2.8
Clutch3.0

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 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. 675ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim2.6
Positioning5.7
Utility3.6
Mechanics2.1
Opening Duels4.5
Win Impact0.0

Composite 2.9/10 (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 rating-0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time685ms+81ms
first ⅓ avg 604ms → last ⅓ avg 685ms
Headshot accuracy21.5%+5.1%
first ⅓ avg 16.4% → last ⅓ avg 21.5%

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

0.19Best match rating · 13–0 · dust2, 19 Sept →
60%Best headshot accuracy · 3–13 · inferno, 13 Nov →
406msFastest reaction time · 9–13 · office, 8 Sept →
13–0Biggest win · dust2, 19 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L8Current streak
3–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 39% over 28cacheWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C2811–1739%-0.00
mirageD196–1332%-0.01
ancientD152–1313%-0.02
infernoD122–1017%-0.04
nukeD102–820%-0.01
anubisD61–517%-0.02
cacheD50–50%-0.03
office—41–325%0.04
vertigo—10–10%-0.06

Across the last 100 tracked matches.

Lifetime stats

125,682Lifetime kills
1.05K/D · Top 50% of Level 7 players
7,289Matches
45.4%Match win rate
42.9%Headshot %
5.9%Shot accuracy
12,419MVPs
3,002Hours (in match)
6,330Bombs planted
1,233Bombs defused

Most-used weapons

Lifetime map wins

23,037dust2
6,712inferno
4,607nuke
2,307vertigo
1,626train
1,120office
250italy
195cbble

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

Faceit stats

Combat

228Matches
54%Win rate
0.92Avg K/D
73.4ADR
42%Headshot %

Clutches & streaks

35%1v1 clutch win
26%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient5866%1.0114.9
Dust25758%0.9714.6
Inferno3549%0.9114.3
Nuke3250%0.8212.6
Mirage1942%0.8314.2
Train1839%0.8112.8
Overpass633%0.8612.5
Vertigo1100%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.

20.8%Headshot accuracy
30.9%Accuracy (enemy spotted)
27.9%Spray accuracy
59.6%Counter-strafing
13.2°Preaim
675msReaction time
47.6%T opening success
48.6%CT opening success
0.53Enemies flashed / flash
3.0%Flash assists
8.83HE damage / grenade
8.34Flashes / 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 13.1959° — above the 12° mark we flag

    Aim Training →
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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke3–13-0.0811%13 Nov →
ancient6–13-0.0124%13 Nov →
mirage2–13-0.0525%13 Nov →
dust26–13-0.0412%13 Nov →
inferno3–13-0.1560%13 Nov →
ancient3–130.117%10 Nov →
mirage8–13-0.0421%10 Nov →
mirage11–130.0318%10 Nov →
dust213–40.026%10 Nov →
nuke10–13-0.0728%10 Nov →
dust26–130.0422%7 Nov →
dust210–13-0.0122%7 Nov →
anubis10–13-0.0514%25 Oct →
mirage13–40.0121%25 Oct →
nuke13–50.0217%25 Oct →
inferno10–13-0.0419%25 Oct →
dust25–13-0.074%25 Oct →
dust210–13-0.0325%25 Oct →
inferno5–13-0.089%18 Oct →
ancient13–110.0419%13 Oct →
mirage13–110.1118%13 Oct →
dust213–20.0527%6 Oct →
cache10–130.0127%6 Oct →
dust25–130.0924%6 Oct →
mirage5–130.0520%6 Oct →
nuke13–70.0236%6 Oct →
dust213–60.0719%4 Oct →
nuke11–13-0.0110%4 Oct →
dust22–13-0.0822%4 Oct →
dust213–10-0.0234%4 Oct →
dust215–15-0.0450%3 Oct →
mirage12–12-0.0019%30 Sept →
anubis13–40.0322%24 Sept →
inferno7–13-0.076%24 Sept →
inferno2–80.028%23 Sept →
mirage13–110.0714%23 Sept →
vertigo7–13-0.0616%23 Sept →
dust28–13-0.0019%22 Sept →
dust22–13-0.0813%21 Sept →
anubis12–12-0.028%21 Sept →
dust213–00.1929%19 Sept →
inferno13–70.0310%19 Sept →
nuke12–12-0.0118%19 Sept →
anubis7–130.0211%16 Sept →
inferno3–8-0.0013%16 Sept →
cache15–15-0.0926%16 Sept →
mirage0–11-0.064%16 Sept →
inferno13–2-0.0422%16 Sept →
mirage11–13-0.190%16 Sept →
mirage13–16-0.0717%16 Sept →
ancient8–13-0.0414%16 Sept →
cache6–13-0.0315%16 Sept →
ancient5–13-0.0712%16 Sept →
anubis13–16-0.0315%16 Sept →
ancient11–13-0.0617%16 Sept →
nuke5–130.0521%16 Sept →
dust25–130.018%16 Sept →
dust29–13-0.0018%15 Sept →
mirage15–150.0650%15 Sept →
dust213–90.0150%15 Sept →
inferno0–13-0.060%15 Sept →
anubis2–13-0.067%15 Sept →
inferno1–9-0.0450%15 Sept →
ancient1–130.0229%15 Sept →
nuke2–130.0020%14 Sept →
inferno4–13-0.0431%14 Sept →
ancient2–130.0224%14 Sept →
mirage13–10-0.0433%13 Sept →
cache2–13-0.0729%13 Sept →
ancient2–13-0.054%13 Sept →
ancient5–13-0.0611%13 Sept →
ancient13–16-0.047%13 Sept →
dust26–13-0.0113%13 Sept →
mirage13–40.0620%11 Sept →
mirage11–13-0.019%11 Sept →
nuke6–130.0819%11 Sept →
mirage7–13-0.0213%11 Sept →
dust213–60.0117%11 Sept →
ancient11–13-0.0810%8 Sept →
office4–130.0710%8 Sept →
office9–130.0415%8 Sept →
dust213–5-0.0211%8 Sept →
dust214–16-0.0220%8 Sept →
cache8–130.0119%8 Sept →
dust213–16-0.0219%8 Sept →
office8–130.0211%7 Sept →
mirage12–12-0.0713%7 Sept →
office13–80.0422%7 Sept →
inferno3–13-0.0130%7 Sept →
mirage9–13-0.0727%7 Sept →
ancient10–13-0.0335%7 Sept →
dust212–12-0.0115%7 Sept →
dust213–9-0.0712%7 Sept →
nuke4–13-0.0726%7 Sept →
dust213–3-0.050%7 Sept →
ancient2–13-0.0614%7 Sept →
dust213–50.0312%7 Sept →
mirage13–20.0816%5 Sept →
ancient13–10-0.0212%5 Sept →
dust211–13-0.0320%5 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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