mud9

mud9 — CS2 Stats

HK76561198280566229[U:1:320300501]Steam profile ↗✓ No bans

2,036Tracked matches61%Win rate2020Tracked since
CSDB Rating6.8 SolidPositional Player
Premier CS Rating23,504Top 25% of 175,286 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)
CSDB Leaderboard#33327 of 220797 tracked
FaceitLevel 9 · 1,840 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (17 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. 36 days played since 7 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 23,504 +3,612 14 Aug31 Aug · 4 days played
19,89223,504peak 23,50414 Aug31 Aug
23,504Peak Premier in tracked matches
1,840Highest Faceit ELO seen on CSDB
36Days played since 2026-05-07

Faceit ELO

  • At peak — 1,840
  • Next: Level 10 at 2,001 161 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier CS Rating

  • At peak — 23,504
  • Next: Red band at 25,000 1,496 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. 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.

Share this profile

CSDB.GGmud9FACEITLevel 9 · 1,840 ELOSTANDINGTop 20.7% of rankedPREMIER23,504 · Pink bandPEAK ELO1,840csdb.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

Aim84
Positioning59
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY47476Last 10047%Win rateWLWWTWWLLW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +1.3pp headshot accuracy · +102ms reaction

Win rate down 20pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 311 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 539ms

Last 10

  • 631 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 566ms

Last 20

  • 1442 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 515ms

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 PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim8.4
Utility5.4
Positioning5.9
Opening Duels2.8
Clutch3.4

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

sh1ro

Plays most like sh1ro 93% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Aim8.4
Positioning5.9
Utility5.4
Mechanics7.1
Opening Duels2.4
Win Impact8.6

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time539ms−46ms
first ⅓ avg 585ms → last ⅓ avg 539ms
Headshot accuracy23.3%+1.9%
first ⅓ avg 21.4% → last ⅓ avg 23.3%

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

0.12Best match rating · 9–13 · dust2, 20 Jul
80%Best headshot accuracy · 3–0 · inferno, 16 Aug
383msFastest reaction time · 13–8 · dust2, 15 Sept
13–0Biggest win · dust2, 31 Aug

Across the last 100 tracked matches.

Highlights

9Longest win streak
511In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 80% over 5ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B51262551%0.01
mirageB189950%-0.01
cacheC73443%-0.01
anubisD72529%-0.00
ancientD71614%0.01
nukeC52340%-0.01
infernoS54180%0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

1,932Matches
50%Win rate
1.06Avg K/D
76.0ADR
53%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage44150%0.9714.6
Dust229253%1.1216.1
Ancient17849%1.0415.4
Inferno16743%0.9614.3
Anubis15945%1.0415.9
Nuke5450%1.0216.3
Vertigo3345%1.0415.8
Overpass2536%1.0215.6

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.

21.1%Headshot accuracy
35.7%Accuracy (enemy spotted)
40.4%Spray accuracy
82.0%Counter-strafing
8.3°Preaim
545msReaction time
35.4%T opening success
44.2%CT opening success
0.54Enemies flashed / flash
4.2%Flash assists
10.94HE damage / grenade
11.72Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 35.3817% — below the 40% mark we flag

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.

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

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–8-0.0213%15 Sept
dust28–130.0519%15 Sept
mirage13–11-0.0228%6 Sept
dust213–80.0217%6 Sept
dust212–120.0729%6 Sept
dust213–30.0528%6 Sept
dust213–50.0920%6 Sept
cache8–130.0429%1 Sept
anubis2–13-0.0113%1 Sept
mirage13–9-0.0212%31 Aug
dust213–1-0.000%31 Aug
dust213–00.000%31 Aug
mirage13–60.0030%31 Aug
dust213–30.0520%31 Aug
dust213–70.0543%31 Aug
ancient16–130.0212%31 Aug
cache19–17-0.0218%31 Aug
dust213–20.0520%31 Aug
dust212–12-0.0021%25 Aug
dust27–13-0.0231%25 Aug
dust27–13-0.0015%25 Aug
dust22–13-0.0513%22 Aug
dust213–50.0310%22 Aug
dust24–130.0224%22 Aug
nuke17–190.0122%20 Aug
dust213–7-0.0337%20 Aug
mirage11–13-0.0617%20 Aug
anubis6–130.0433%19 Aug
dust210–13-0.0927%17 Aug
dust213–7-0.0023%17 Aug
dust213–90.0529%16 Aug
anubis13–90.0238%16 Aug
inferno3–00.1080%16 Aug
nuke13–9-0.0627%16 Aug
mirage13–5-0.0213%16 Aug
mirage13–50.0519%16 Aug
ancient11–130.0323%16 Aug
inferno10–5-0.079%16 Aug
inferno6–13-0.0234%16 Aug
dust211–13-0.0116%16 Aug
mirage13–60.0014%14 Aug
dust213–8-0.0211%14 Aug
dust29–130.0135%14 Aug
dust22–13-0.0421%14 Aug
cache13–8-0.0320%14 Aug
mirage14–16-0.0410%11 Aug
dust213–50.0428%11 Aug
ancient7–13-0.0711%11 Aug
dust213–90.0623%11 Aug
mirage13–110.0016%10 Aug
mirage11–130.048%10 Aug
mirage6–13-0.0718%4 Aug
dust21–130.0231%2 Aug
dust215–150.0730%2 Aug
inferno13–60.0528%2 Aug
cache13–10-0.0619%30 Jul
cache7–13-0.0026%30 Jul
mirage13–100.0231%29 Jul
dust27–130.0318%29 Jul
dust212–120.0220%29 Jul
dust213–9-0.0219%27 Jul
dust212–12-0.0225%27 Jul
dust212–120.0120%27 Jul
ancient10–13-0.0118%27 Jul
mirage10–13-0.0416%27 Jul
cache8–13-0.0127%23 Jul
mirage10–13-0.0325%23 Jul
dust29–130.1229%20 Jul
dust213–110.0236%20 Jul
anubis13–70.0222%20 Jul
dust21–13-0.089%17 Jul
ancient10–13-0.0319%17 Jul
dust24–13-0.0616%17 Jul
dust213–1-0.0613%17 Jul
nuke13–8-0.0138%17 Jul
anubis8–13-0.0116%15 Jul
dust213–90.0520%15 Jul
mirage4–13-0.0419%15 Jul
dust29–13-0.0510%12 Jul
dust213–80.0314%12 Jul
dust213–2-0.0212%12 Jul
nuke11–13-0.0025%12 Jul
dust213–7-0.0338%9 Jul
dust213–80.0621%9 Jul
dust213–70.0214%23 Jun
anubis11–13-0.0615%23 Jun
anubis8–13-0.0024%18 Jun
nuke7–130.0336%18 Jun
ancient0–20.000%14 Jun
dust27–13-0.0816%10 Jun
mirage10–13-0.0223%8 Jun
dust213–60.0926%4 Jun
dust210–130.0226%27 May
mirage11–13-0.0524%27 May
cache11–130.0330%16 May
mirage13–100.0421%12 May
inferno13–11-0.0224%10 May
dust210–130.0117%9 May
ancient7–130.1029%7 May
dust28–13-0.0224%7 May

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 →