Muhv

Muhv — CS2 Stats

76561199149874555[U:1:1189608827]Steam profile ↗✓ No bans

127Tracked matches47%Win rate2026Tracked since
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating13,264Blue band · top ~37.6% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 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: 13,264 -2,296 1 Sept – 30 Sept · 21 days played
12,24615,648peak 15,6481 Sept30 Sept
15,797Peak Premier in tracked matches
24Days played since 2026-08-31

Premier CS Rating

  • 2,384 below peak (15,648)
  • -2,296 over 30 days · declining
  • Next: Purple band at 15,000 — 1,736 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

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

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CSDB.GGMuhvPREMIER13,264 · Blue bandcsdb.gg/stats

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Performance scores

Aim58
Positioning55
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY45–49–6Last 10045%Win rateLLLWLWWWLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +1.4pp headshot accuracy · −20ms 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 -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 584ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 569ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 578ms

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).

Aim5.8
Utility2.4
Positioning5.5
Opening Duels2.9

Limited utility dependence

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

donk

Plays most like donk 84% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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 →

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.

Reaction time. 571ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim5.8
Positioning5.5
Utility2.4
Mechanics3.5
Opening Duels4.3
Win Impact3.9

Composite 4.3/10 (Developing), 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 rating-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time557ms+9ms
first ⅓ avg 549ms → last ⅓ avg 557ms
Headshot accuracy9.9%+0.0%
first ⅓ avg 9.8% → last ⅓ avg 9.9%

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 · 13–6 · mirage, 15 Sept →
29%Best headshot accuracy · 7–13 · train, 17 Sept →
375msFastest reaction time · 5–13 · anubis, 2 Sept →
13–0Biggest win · ancient, 6 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
7–12In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 56% over 16anubisWeakest map · 35% over 26
MapGradePlayedRecordWin rateAvg rating
anubisC269–1735%-0.02
ancientB199–1047%0.03
infernoA169–756%-0.02
nukeB115–645%-0.02
cacheA116–555%0.00
mirageA95–456%-0.00
vertigoC52–340%0.03
dust2—20–20%-0.01
train—10–10%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (35% over 26). 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.

9.8%Headshot accuracy
38.4%Accuracy (enemy spotted)
44.1%Spray accuracy
65.9%Counter-strafing
10.9°Preaim
571msReaction time
51.2%T opening success
42.8%CT opening success
0.33Enemies flashed / flash
3.9%Flash assists
2.70HE damage / grenade
3.88Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.8326% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3275 — below the 0.5 mark we flag

    Grenade Lineups →
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.

35% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–13-0.078%30 Sept →
cache11–13-0.0013%30 Sept →
anubis8–13-0.0419%30 Sept →
inferno13–70.039%30 Sept →
ancient12–16-0.017%30 Sept →
ancient13–80.0317%26 Sept →
cache13–100.0114%26 Sept →
anubis16–13-0.015%26 Sept →
ancient11–130.064%25 Sept →
anubis9–13-0.0611%25 Sept →
cache13–40.0410%25 Sept →
cache14–16-0.0115%25 Sept →
mirage10–13-0.150%24 Sept →
anubis0–13-0.0312%24 Sept →
ancient8–130.0015%24 Sept →
inferno13–20.0115%24 Sept →
mirage13–11-0.0211%24 Sept →
ancient11–13-0.014%24 Sept →
mirage13–6-0.014%24 Sept →
vertigo6–13-0.026%23 Sept →
vertigo10–13-0.0110%23 Sept →
vertigo13–50.0717%23 Sept →
nuke11–13-0.0613%22 Sept →
anubis13–5-0.020%22 Sept →
anubis13–100.0810%22 Sept →
nuke13–60.025%20 Sept →
anubis9–13-0.025%20 Sept →
cache14–16-0.0210%20 Sept →
anubis13–30.044%20 Sept →
nuke13–3-0.0119%19 Sept →
ancient13–20.0615%19 Sept →
inferno13–60.038%19 Sept →
ancient9–13-0.0312%19 Sept →
cache13–8-0.017%19 Sept →
nuke8–130.0410%18 Sept →
anubis9–130.0312%18 Sept →
nuke2–13-0.039%18 Sept →
inferno8–80.1616%18 Sept →
nuke9–130.0417%17 Sept →
cache11–13-0.0314%17 Sept →
anubis3–13-0.016%17 Sept →
cache15–150.0216%17 Sept →
ancient13–50.0311%17 Sept →
anubis11–13-0.023%17 Sept →
ancient13–70.0211%17 Sept →
mirage13–20.0515%17 Sept →
train7–130.0129%17 Sept →
vertigo7–20.0516%17 Sept →
anubis6–13-0.0120%17 Sept →
ancient13–6-0.016%16 Sept →
inferno14–160.0013%16 Sept →
anubis16–140.0118%16 Sept →
nuke13–11-0.085%16 Sept →
dust27–13-0.0319%16 Sept →
vertigo12–120.067%16 Sept →
anubis12–120.018%16 Sept →
inferno13–7-0.0010%15 Sept →
anubis12–16-0.008%15 Sept →
inferno13–8-0.0015%15 Sept →
ancient13–7-0.0210%15 Sept →
anubis13–50.0211%15 Sept →
anubis9–13-0.0211%15 Sept →
ancient12–120.126%15 Sept →
mirage13–60.168%15 Sept →
mirage3–13-0.038%15 Sept →
anubis11–13-0.029%14 Sept →
cache13–11-0.005%14 Sept →
mirage8–13-0.0012%14 Sept →
anubis13–7-0.0021%13 Sept →
inferno4–13-0.033%13 Sept →
inferno13–7-0.0211%13 Sept →
ancient11–13-0.025%13 Sept →
inferno5–90.056%11 Sept →
inferno1–9-0.196%11 Sept →
inferno14–16-0.077%10 Sept →
inferno13–11-0.064%8 Sept →
ancient5–130.0115%8 Sept →
dust212–120.017%8 Sept →
inferno7–13-0.0521%7 Sept →
nuke8–13-0.0516%6 Sept →
ancient10–130.043%6 Sept →
anubis13–10-0.058%6 Sept →
ancient13–00.0524%6 Sept →
mirage3–13-0.0811%6 Sept →
mirage13–30.0411%6 Sept →
ancient13–30.1214%4 Sept →
ancient13–10.016%3 Sept →
anubis5–13-0.115%2 Sept →
cache13–110.006%2 Sept →
anubis3–13-0.108%2 Sept →
cache13–80.038%1 Sept →
anubis10–13-0.0310%1 Sept →
inferno13–10-0.0411%1 Sept →
nuke13–110.016%1 Sept →
ancient12–160.057%1 Sept →
anubis10–13-0.056%1 Sept →
inferno13–4-0.0613%31 Aug →
anubis10–130.0114%31 Aug →
nuke13–8-0.0214%31 Aug →
anubis13–9-0.027%31 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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