Murph

Murph — CS2 Stats

US76561198324714595[U:1:364448867]Steam profile ↗✓ No bans

801Tracked matches56%Win rate2023Tracked since
983Hours in CS107Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating19,883Top 50% of 204,316 CSDB-tracked playersPurple band · top ~9% of ranked players (population est.)
CSDB Leaderboard#84768 of 251459 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
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: 19,883 -232 1 Oct – 13 Oct · 4 days played
19,88320,115peak 20,1151 Oct13 Oct
20,115Peak Premier in tracked matches
11Days played since 2026-10-01

Premier CS Rating

  • 232 below peak (20,115)
  • Next: Pink band at 20,000 — 117 to go
  • Reached: Pink band · 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 8 among CSDB-tracked players (n=14,773), 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 8 medianLevel 9 medianvs Level 9
Headshot rate55.6%46.8%48.2%above
Shot accuracy5.6%13.0%13.3%7.7% short
Kill/death ratio1.241.061.07above
Match win rate41.9%46.3%46.9%5.0% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMurphFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER19,883 · Purple 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

Aim83
Positioning53
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateLTWWLLTLWW

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · −1.5pp headshot accuracy · −96ms reaction

Win rate down 30pp 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 469ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 469ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 516ms

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 (+1.3 against its own average).

Aim8.3
Utility4.7
Positioning5.3
Opening Duels2.1
Clutch4.0

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

b1t

Plays most like b1t 93% playstyle similarity

Most alike: opening-duel success, positioning 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.3
Positioning5.3
Utility4.7
Mechanics6.6
Opening Duels2.9
Win Impact6.9

Composite 6.2/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time528ms+7ms
first ⅓ avg 521ms → last ⅓ avg 528ms
Headshot accuracy18.5%+2.4%
first ⅓ avg 16.1% → last ⅓ avg 18.5%

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 · 10–13 · dust2, 10 Oct →
34%Best headshot accuracy · 9–13 · dust2, 10 Oct →
375msFastest reaction time · 8–13 · anubis, 3 Oct →
13–2Biggest win · ancient, 11 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
14–3In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 71% over 7ancientWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B3114–1745%-0.00
mirageS1510–567%-0.00
cacheB136–746%0.02
ancientC135–838%0.00
anubisB126–650%0.01
nukeA95–456%-0.00
infernoS75–271%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,071Lifetime kills
1.24K/D · Top 25% of Level 8 players
1,389Matches
41.9%Match win rate
55.6%Headshot % · Top 25% of Level 8 players
5.6%Shot accuracy
2,259MVPs
1,285Hours (in match)
1,339Bombs planted
342Bombs defused

Most-used weapons

AK-4719,115
AWP2,446
MP9507
Knife463
MP7378

Lifetime map wins

3,590dust2
1,050nuke
892inferno
129train
76vertigo
53safehouse
50lake
46ar_shoots

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

Faceit stats

Combat

488Matches
51%Win rate
1.06Avg K/D
78.1ADR
44%Headshot %

Clutches & streaks

40%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust212050%1.0915.4
Ancient10351%0.9915.5
Anubis8149%1.1215.7
Mirage6346%0.9414.9
Nuke4558%1.1517.6
Inferno3551%0.9917.1
Cache2055%1.2518.9
Train1136%0.9514.4

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.

18.6%Headshot accuracy
37.1%Accuracy (enemy spotted)
41.6%Spray accuracy
79.5%Counter-strafing
9.0°Preaim
524msReaction time
41.2%T opening success
41.9%CT opening success
0.50Enemies flashed / flash
5.0%Flash assists
5.10HE damage / grenade
9.00Flashes / 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 0.4979 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis8–130.0317%14 Oct →
nuke12–120.0328%13 Oct →
dust213–100.0319%13 Oct →
dust29–20.0721%13 Oct →
anubis7–130.0913%13 Oct →
mirage5–13-0.0723%13 Oct →
inferno15–150.0724%13 Oct →
cache6–13-0.1014%13 Oct →
nuke13–10-0.0416%13 Oct →
anubis13–50.0210%13 Oct →
nuke13–10-0.0511%13 Oct →
dust213–3-0.0517%13 Oct →
nuke13–110.0512%13 Oct →
dust26–130.0312%13 Oct →
dust29–130.0020%13 Oct →
cache13–7-0.0123%11 Oct →
dust213–6-0.0229%11 Oct →
dust22–13-0.1021%11 Oct →
ancient13–20.0628%11 Oct →
dust213–80.0529%11 Oct →
mirage6–00.0418%11 Oct →
dust212–120.0012%11 Oct →
dust24–13-0.0620%11 Oct →
ancient12–16-0.0210%11 Oct →
inferno16–140.0213%11 Oct →
dust213–160.0226%11 Oct →
mirage13–110.0713%11 Oct →
dust29–130.0822%11 Oct →
dust29–13-0.0129%10 Oct →
mirage16–13-0.0416%10 Oct →
mirage8–130.0112%10 Oct →
cache13–60.0617%10 Oct →
nuke13–90.0619%10 Oct →
dust210–13-0.0424%10 Oct →
dust213–8-0.0315%10 Oct →
anubis9–13-0.0619%10 Oct →
ancient13–90.0915%10 Oct →
anubis12–160.0116%10 Oct →
mirage13–70.0816%10 Oct →
dust210–130.2117%10 Oct →
dust25–13-0.0414%10 Oct →
dust29–13-0.0434%10 Oct →
mirage8–13-0.068%10 Oct →
cache13–50.0212%10 Oct →
cache11–130.0824%10 Oct →
anubis10–130.0912%10 Oct →
dust219–170.0521%10 Oct →
ancient6–13-0.0211%10 Oct →
anubis19–17-0.056%10 Oct →
ancient9–13-0.0512%9 Oct →
dust216–13-0.0314%9 Oct →
ancient13–9-0.0023%9 Oct →
mirage13–100.0212%9 Oct →
dust23–13-0.0226%9 Oct →
ancient9–13-0.0418%6 Oct →
anubis13–110.0129%6 Oct →
anubis13–100.0114%6 Oct →
inferno13–110.0219%6 Oct →
mirage13–9-0.0222%6 Oct →
dust23–130.0112%6 Oct →
inferno13–9-0.028%6 Oct →
cache13–50.0911%6 Oct →
mirage13–110.0212%6 Oct →
anubis13–9-0.0121%5 Oct →
ancient13–50.0927%5 Oct →
dust28–13-0.097%5 Oct →
dust24–13-0.0517%5 Oct →
cache10–130.0216%5 Oct →
nuke12–16-0.0114%5 Oct →
mirage13–70.0114%5 Oct →
cache9–130.0419%5 Oct →
ancient10–13-0.0213%5 Oct →
ancient8–13-0.066%5 Oct →
dust213–90.0011%5 Oct →
cache13–50.0123%5 Oct →
cache23–25-0.0218%5 Oct →
dust213–8-0.0320%4 Oct →
dust213–70.009%4 Oct →
mirage13–110.0216%4 Oct →
anubis8–13-0.0431%3 Oct →
dust213–110.0112%2 Oct →
cache6–13-0.0515%2 Oct →
nuke13–7-0.0117%2 Oct →
mirage7–13-0.0321%2 Oct →
mirage13–11-0.0412%2 Oct →
mirage4–13-0.0515%2 Oct →
anubis16–120.0427%2 Oct →
ancient11–13-0.0115%2 Oct →
dust213–110.0320%2 Oct →
ancient13–11-0.0019%2 Oct →
dust210–4-0.0511%2 Oct →
inferno13–110.0315%2 Oct →
cache9–130.0317%2 Oct →
dust25–13-0.0615%2 Oct →
nuke16–19-0.0612%2 Oct →
inferno5–130.0213%2 Oct →
nuke6–13-0.0114%2 Oct →
cache13–80.0515%2 Oct →
ancient10–130.019%2 Oct →
inferno13–6-0.0432%1 Oct →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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