Mur-diddly-urdler

Mur-diddly-urdler — CS2 Stats

GB76561198272254047[U:1:311988319]Steam profile ↗✓ No bans

4,427Tracked matches31%Win rate2020Tracked since
CSDB Rating2.3 LearningClutch Specialist
Premier CS Rating2,384Grey band · top ~89.9% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (7 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 26 days played since 10 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 2,384 -1,196 10 Aug13 Sept · 14 days played
2,3843,706peak 3,70610 Aug13 Sept
3,706Peak Premier in tracked matches
482Highest Faceit ELO seen on CSDB
26Days played since 2026-08-10

Faceit ELO

  • At peak — 482
  • Next: Level 2 at 501 19 to go

Premier CS Rating

  • 1,322 below peak (3,706)
  • -1,322 over 30 days · declining
  • Next: Light Blue band at 5,000 2,616 to go

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGMur-diddly-urdlerPREMIER2,384 · Grey bandPEAK ELO482csdb.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

Aim19
Positioning50
Utility43

0–100 skill scores via Leetify.

Recent form

COLD34615Last 10034%Win rateLLLLLWLWLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −2.9pp headshot accuracy · +71ms reaction

Win rate −10pp 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

  • 05 · 0% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 9%
  • Avg reaction 797ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 832ms

Last 20

  • 515 · 25% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 797ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+1.6 against its own average).

Aim1.9
Utility4.3
Positioning5.0
Opening Duels2.2
Clutch6.0

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 54% 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. 760ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 50% 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

Aim1.9
Positioning5.0
Utility4.3
Mechanics0.1
Opening Duels3.1
Win Impact0.0

Composite 2.3/10 (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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time765ms−33ms
first ⅓ avg 798ms → last ⅓ avg 765ms
Headshot accuracy15.1%+2.0%
first ⅓ avg 13.1% → last ⅓ avg 15.1%

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

0.16Best match rating · 6–1 · dust2, 16 Aug
33%Best headshot accuracy · 13–1 · nuke, 23 Aug
445msFastest reaction time · 5–9 · inferno, 31 Aug
13–0Biggest win · vertigo, 14 Aug

Across the last 100 tracked matches.

Highlights

2Longest win streak
L5Current streak
211In matches decided by ≤2 rounds
7Overtime games

Map breakdown

boulderBest map · 63% over 8mirageWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
officeD2061430%-0.02
dust2D1851328%0.01
nukeC146843%-0.01
mirageD112918%-0.03
boulderA85363%-0.05
cacheD72529%-0.03
inferno4040%-0.07
overpass31233%-0.02
anubis32167%-0.05
vertigo32167%-0.02
poseidon220100%-0.00
italy21150%-0.00
fachwerk2020%-0.03
ancient1010%-0.08
shelter1010%-0.10
train1010%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

21Matches
48%Win rate
0.66Avg K/D
67.8ADR
37%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage633%0.6011.2
Dust2425%0.7310.3
Ancient367%0.559.7
Train367%0.8312.7
Nuke1100%0.738.0
Overpass1100%0.9624.0
Inferno10%0.6712.0

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.

15.1%Headshot accuracy
33.6%Accuracy (enemy spotted)
36.2%Spray accuracy
50.3%Counter-strafing
12.4°Preaim
760msReaction time
43.7%T opening success
41.1%CT opening success
0.51Enemies flashed / flash
7.4%Flash assists
12.82HE damage / grenade
5.94Flashes / 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 12.3599° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 760.289ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Mirage

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
office10–13-0.100%18 Sept
office3–13-0.0512%17 Sept
dust25–13-0.096%13 Sept
mirage9–13-0.0316%13 Sept
mirage10–13-0.0411%12 Sept
cache13–10-0.0115%12 Sept
dust26–130.0214%12 Sept
poseidon9–6-0.0719%12 Sept
mirage4–130.0526%12 Sept
cache9–13-0.0514%11 Sept
nuke10–13-0.0721%11 Sept
overpass3–13-0.0320%11 Sept
office6–13-0.0517%11 Sept
nuke13–11-0.0616%11 Sept
nuke13–10-0.069%8 Sept
dust210–130.027%8 Sept
dust211–13-0.0414%8 Sept
boulder13–5-0.0818%7 Sept
nuke11–130.0119%7 Sept
office11–130.0221%7 Sept
boulder13–3-0.0217%6 Sept
office13–50.0220%6 Sept
office9–13-0.0311%6 Sept
office8–110.0218%6 Sept
office13–90.0210%5 Sept
office12–12-0.0217%5 Sept
ancient9–13-0.0811%3 Sept
anubis13–4-0.096%3 Sept
office13–3-0.0510%3 Sept
inferno7–9-0.1219%3 Sept
office6–13-0.0118%3 Sept
nuke11–130.0226%2 Sept
office8–130.0218%2 Sept
office13–20.0712%2 Sept
office8–130.028%2 Sept
anubis13–100.0019%2 Sept
nuke8–130.0018%1 Sept
italy10–130.0210%1 Sept
anubis6–13-0.0513%31 Aug
nuke13–9-0.0613%31 Aug
cache8–13-0.0520%31 Aug
cache11–13-0.089%31 Aug
mirage12–12-0.0713%31 Aug
office5–13-0.0411%31 Aug
nuke13–70.0219%31 Aug
nuke3–5-0.0014%31 Aug
vertigo13–40.0314%31 Aug
poseidon9–30.0729%31 Aug
inferno5–9-0.086%31 Aug
office13–6-0.0213%31 Aug
office6–13-0.096%31 Aug
boulder13–10.028%31 Aug
boulder5–13-0.0915%30 Aug
boulder12–12-0.087%30 Aug
boulder9–13-0.0216%30 Aug
boulder13–10-0.0810%30 Aug
shelter1–13-0.1017%30 Aug
fachwerk9–130.0315%30 Aug
boulder13–4-0.062%30 Aug
italy13–8-0.0215%29 Aug
mirage13–16-0.0413%23 Aug
mirage14–16-0.0612%23 Aug
nuke13–10.0133%23 Aug
dust214–160.0214%23 Aug
dust215–150.0813%22 Aug
office13–5-0.0211%22 Aug
vertigo11–13-0.0515%22 Aug
nuke13–60.0010%22 Aug
nuke14–160.0610%21 Aug
dust213–8-0.0113%21 Aug
mirage13–8-0.0614%21 Aug
dust28–130.0311%20 Aug
nuke6–13-0.0118%20 Aug
inferno7–130.0018%20 Aug
mirage4–130.065%20 Aug
dust213–110.0412%19 Aug
dust213–160.027%19 Aug
dust27–13-0.0113%18 Aug
mirage13–4-0.1020%16 Aug
dust26–10.1625%16 Aug
mirage5–130.0118%16 Aug
overpass13–80.003%16 Aug
inferno6–13-0.0913%16 Aug
cache10–13-0.0213%16 Aug
mirage2–13-0.0613%16 Aug
dust22–13-0.0333%16 Aug
nuke8–13-0.0315%16 Aug
office12–12-0.0217%16 Aug
dust213–5-0.0211%16 Aug
fachwerk4–13-0.084%15 Aug
train2–13-0.0521%15 Aug
cache13–30.0914%15 Aug
dust210–13-0.0615%15 Aug
cache1–13-0.0714%14 Aug
vertigo13–0-0.050%14 Aug
office4–13-0.078%14 Aug
overpass4–11-0.040%14 Aug
dust216–120.0013%11 Aug
dust28–13-0.0211%11 Aug
dust24–13-0.0218%10 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 →