Murr

Murr — CS2 Stats

US76561198254226091[U:1:293960363]Steam profile ↗✓ No bans

1,646Tracked matches45%Win rate2022Tracked since
CSDB Rating5.9 SolidPositional Player
Premier CS Rating13,164Blue band · top ~38.1% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (19 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: 13,164 -8,152 11 Jul – 19 Oct · 31 days played
13,16421,316peak 21,31611 Jul19 Oct
21,436Peak Premier in tracked matches
36Days played since 2026-07-11

Premier CS Rating

  • 8,152 below peak (21,316)
  • -2,519 over 30 days · declining
  • -7,731 over 90 days
  • Next: Purple band at 15,000 — 1,836 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.

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CSDB.GGMurrPREMIER13,164 · Blue bandcsdb.gg/stats

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Performance scores

Aim75
Positioning66
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateLLLLWLLWWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −2.3pp headshot accuracy · +26ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 592ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 588ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 575ms

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 (+1.5 against its own average).

Aim7.5
Utility5.2
Positioning6.6
Opening Duels3.6

Effective flashes

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 89% 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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 560ms 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

Aim7.5
Positioning6.6
Utility5.2
Mechanics7.4
Opening Duels4.1
Win Impact3.3

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time564ms−66ms
first ⅓ avg 630ms → last ⅓ avg 564ms
Headshot accuracy15.3%+0.0%
first ⅓ avg 15.3% → last ⅓ avg 15.3%

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

0.11Best match rating · 13–10 · dust2, 2 Oct →
42%Best headshot accuracy · 3–13 · anubis, 29 Jul →
438msFastest reaction time · 13–16 · anubis, 21 Sept →
13–1Biggest win · dust2, 11 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
12–12In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 64% over 14anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A2011–955%0.00
mirageB209–1145%-0.02
infernoA149–564%-0.02
nukeD133–1023%-0.02
cacheB136–746%-0.01
ancientC114–736%-0.00
anubisD71–614%0.00
vertigo—10–10%0.05
shelter—10–10%0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.3%Headshot accuracy
36.4%Accuracy (enemy spotted)
37.8%Spray accuracy
83.3%Counter-strafing
9.6°Preaim
560msReaction time
42.8%T opening success
49.7%CT opening success
0.78Enemies flashed / flash
7.0%Flash assists
13.88HE damage / grenade
5.43Flashes / match

Recommended for you

Spend your practice time on Anubis

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.049%27 Oct →
dust212–160.0216%19 Oct →
dust210–13-0.0516%8 Oct →
dust210–13-0.0616%8 Oct →
nuke13–7-0.017%8 Oct →
ancient5–130.0111%6 Oct →
dust214–16-0.0115%6 Oct →
dust213–10-0.0516%5 Oct →
cache13–6-0.0226%5 Oct →
cache13–70.0416%5 Oct →
nuke7–130.0130%5 Oct →
dust213–100.1125%2 Oct →
nuke5–13-0.1017%29 Sept →
mirage13–60.0116%28 Sept →
cache10–13-0.017%28 Sept →
ancient13–70.0218%27 Sept →
anubis6–13-0.0411%27 Sept →
mirage11–13-0.0615%24 Sept →
inferno4–13-0.0514%24 Sept →
dust213–70.0217%24 Sept →
anubis13–160.0117%21 Sept →
nuke13–11-0.0310%21 Sept →
vertigo12–120.0513%13 Sept →
inferno13–30.0416%13 Sept →
ancient13–110.007%13 Sept →
mirage9–130.0212%12 Sept →
inferno13–90.0322%12 Sept →
nuke9–130.0520%9 Sept →
mirage13–11-0.029%9 Sept →
anubis4–130.0616%8 Sept →
ancient13–110.0614%3 Sept →
cache11–13-0.0016%3 Sept →
nuke15–15-0.0114%3 Sept →
ancient9–13-0.0020%2 Sept →
ancient13–60.1017%27 Aug →
ancient3–13-0.0512%23 Aug →
cache0–13-0.107%23 Aug →
mirage13–10-0.0233%21 Aug →
dust212–12-0.0330%21 Aug →
inferno10–13-0.0416%16 Aug →
mirage5–13-0.0212%9 Aug →
nuke4–13-0.0411%9 Aug →
nuke10–13-0.0621%5 Aug →
cache11–13-0.0919%3 Aug →
mirage13–110.0315%3 Aug →
mirage5–13-0.113%3 Aug →
dust213–10-0.0214%2 Aug →
inferno16–14-0.0417%31 Jul →
mirage13–110.0422%31 Jul →
dust213–80.0213%31 Jul →
dust211–130.0119%31 Jul →
mirage8–130.0525%31 Jul →
nuke11–130.0116%30 Jul →
mirage3–13-0.047%30 Jul →
nuke13–40.0110%30 Jul →
ancient7–130.0020%30 Jul →
cache13–90.0829%30 Jul →
anubis3–13-0.0042%29 Jul →
mirage10–13-0.0811%29 Jul →
cache6–13-0.0220%29 Jul →
dust213–100.0324%29 Jul →
cache13–8-0.0318%29 Jul →
cache7–13-0.0121%28 Jul →
mirage13–90.0322%28 Jul →
inferno13–11-0.0813%28 Jul →
anubis13–110.0715%27 Jul →
dust213–10-0.0020%27 Jul →
inferno14–16-0.0913%26 Jul →
mirage14–16-0.0910%26 Jul →
inferno11–13-0.0321%26 Jul →
dust213–6-0.0018%26 Jul →
mirage14–160.019%25 Jul →
ancient13–16-0.0210%25 Jul →
mirage14–160.0019%25 Jul →
dust213–10-0.0020%25 Jul →
mirage9–13-0.068%24 Jul →
dust29–13-0.0115%24 Jul →
ancient2–13-0.0711%24 Jul →
mirage13–10-0.0327%24 Jul →
nuke10–13-0.0116%23 Jul →
anubis11–13-0.0511%23 Jul →
shelter4–130.0731%22 Jul →
anubis8–13-0.0316%22 Jul →
ancient4–13-0.0612%22 Jul →
inferno13–80.0920%22 Jul →
nuke3–13-0.0522%22 Jul →
dust23–13-0.024%22 Jul →
nuke8–130.0024%11 Jul →
dust213–10.106%11 Jul →
mirage16–12-0.0915%11 Jul →
inferno13–11-0.0218%11 Jul →
dust213–70.0010%11 Jul →
inferno7–13-0.0720%11 Jul →
inferno13–9-0.0016%11 Jul →
cache16–12-0.0511%11 Jul →
cache13–60.0324%11 Jul →
cache9–130.0311%11 Jul →
inferno13–100.0515%11 Jul →
inferno13–11-0.096%11 Jul →
mirage13–11-0.0316%11 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 →

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