MSM

MSM — CS2 Stats

OM76561198040420054[U:1:80154326]Steam profile ↗✓ No bans

746Tracked matches64%Win rate2022Tracked since
3,445Hours in CS31Hrs last 2 wks
CSDB Rating7.3 StrongPositional Player
Premier CS Rating22,799Top 25% of 215,386 CSDB-tracked playersPink band · top ~5.4% of ranked players (population est.)
CSDB Leaderboard#46505 of 261517 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (8 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: 22,799 +995 3 Apr – 6 Nov · 16 days played
18,54622,909peak 22,9093 Apr6 Nov
22,909Peak Premier in tracked matches
52Days played since 2026-04-03

Premier CS Rating

  • 110 below peak (22,909)
  • +2,312 over 30 days · improving
  • Next: Red band at 25,000 — 2,201 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-10-02
  • Purple band first seen 2026-10-02

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=15,525), 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 rate57.4%46.8%48.2%above
Shot accuracy11.0%13.0%13.2%2.2% short
Kill/death ratio1.021.061.070.05 short
Match win rate40.1%46.3%46.9%6.9% short

This profile matches the typical Level 9 player on 1 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.GGMSMFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER22,799 · Pink 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
Positioning65
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY45–46–9Last 10045%Win rateLLWWLWWLLW

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +3.1pp headshot accuracy · +18ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 28%
  • Avg reaction 630ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 581ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 572ms

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 (+1.6 against its own average).

Aim8.3
Utility5.0
Positioning6.5
Opening Duels5.2
Clutch2.8

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 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

T openings. 74% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 74% on T to 49% on CT — first contacts on the defending side are being lost.

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
Positioning6.5
Utility5.0
Mechanics5.8
Opening Duels7.4
Win Impact9.8

Composite 7.3/10 (Strong), 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 rating0.03+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time558ms+27ms
first ⅓ avg 531ms → last ⅓ avg 558ms
Headshot accuracy26.4%+0.9%
first ⅓ avg 25.5% → last ⅓ avg 26.4%

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 · 13–4 · ancient, 3 Oct →
87%Best headshot accuracy · 3–13 · dust2, 16 Apr →
375msFastest reaction time · 13–7 · inferno, 22 Sept →
13–0Biggest win · anubis, 23 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
2–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 64% over 11cacheWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B2311–1248%0.02
cacheD153–1220%0.00
ancientA138–562%0.04
anubisA117–464%0.02
mirageC114–736%-0.02
nukeB115–645%0.00
infernoB84–450%0.02
office—31–233%-0.03
vertigo—31–233%0.03
train—10–10%0.01
overpass—11–0100%0.02

Across the last 100 tracked matches.

Lifetime stats

141,522Lifetime kills
1.02K/D
5,549Matches
40.1%Match win rate
57.4%Headshot % · Top 25% of Level 8 players
11.0%Shot accuracy
11,355MVPs
2,337Hours (in match)
3,305Bombs planted
1,037Bombs defused

Most-used weapons

AK-4755,639
AWP15,557
P2501,545
FAMAS1,486
SSG 081,270

Lifetime map wins

14,770dust2
7,424inferno
4,146nuke
1,316vertigo
1,271train
988dust
387aztec
231office

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

Faceit stats

Combat

480Matches
50%Win rate
1.01Avg K/D
83.8ADR
55%Headshot %

Clutches & streaks

34%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust211053%1.0415.9
Mirage9548%1.0215.3
Ancient7253%1.0116.3
Inferno6650%1.0716.0
Anubis5847%0.9414.8
Nuke2941%1.0118.3
Vertigo1560%1.0415.5
Cache933%0.9017.1

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.

26.2%Headshot accuracy
35.3%Accuracy (enemy spotted)
37.7%Spray accuracy
75.9%Counter-strafing
8.6°Preaim
547msReaction time
74.0%T opening success
49.4%CT opening success
0.50Enemies flashed / flash
10.1%Flash assists
9.94HE damage / grenade
6.68Flashes / 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 0.4995 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient10–130.0321%11 Nov →
dust24–13-0.0940%7 Nov →
dust213–20.0129%6 Nov →
anubis13–40.0019%6 Nov →
mirage3–13-0.1230%6 Nov →
nuke13–3-0.0513%6 Nov →
anubis13–10.1322%6 Nov →
nuke6–13-0.0043%6 Nov →
dust26–130.0317%6 Nov →
dust213–50.1128%4 Nov →
mirage13–7-0.0322%4 Nov →
anubis13–60.0625%4 Nov →
dust213–100.1120%4 Nov →
office13–100.0425%28 Oct →
dust26–13-0.0423%26 Oct →
nuke13–80.0327%26 Oct →
mirage13–40.0627%26 Oct →
office3–13-0.0616%24 Oct →
dust213–9-0.0213%24 Oct →
nuke7–13-0.0331%24 Oct →
inferno13–20.1330%21 Oct →
anubis13–40.0826%21 Oct →
ancient13–30.0231%21 Oct →
cache13–80.0846%12 Oct →
dust24–130.0321%12 Oct →
train12–120.0132%9 Oct →
dust213–10.0832%7 Oct →
dust29–130.0220%3 Oct →
dust212–120.1127%3 Oct →
ancient13–40.2135%3 Oct →
dust213–80.0339%3 Oct →
cache8–130.0520%3 Oct →
dust25–130.0224%3 Oct →
cache12–12-0.0438%30 Sept →
mirage7–13-0.1131%30 Sept →
dust213–40.0631%30 Sept →
mirage13–40.0326%29 Sept →
cache11–130.0424%28 Sept →
nuke8–13-0.0127%28 Sept →
inferno13–70.1619%22 Sept →
inferno13–9-0.0633%15 Sept →
cache12–120.0021%14 Sept →
ancient13–20.0841%14 Sept →
inferno12–120.0628%9 Sept →
mirage13–4-0.0425%9 Sept →
inferno2–13-0.0626%5 Sept →
cache6–13-0.0224%5 Sept →
ancient13–110.0126%4 Sept →
mirage0–8-0.0750%3 Sept →
dust212–120.0525%3 Sept →
anubis1–130.0722%2 Sept →
dust213–7-0.0621%31 Aug →
inferno6–13-0.0617%31 Aug →
ancient13–70.0035%20 Aug →
dust25–130.0219%19 Aug →
cache4–13-0.0333%13 Aug →
ancient3–13-0.0025%13 Aug →
nuke5–13-0.0621%13 Aug →
anubis13–9-0.0525%13 Aug →
dust213–10-0.0932%12 Aug →
ancient13–60.0320%12 Aug →
anubis9–130.0315%10 Aug →
cache7–130.0319%10 Aug →
vertigo12–120.0332%10 Aug →
overpass13–40.0241%10 Aug →
nuke6–130.0139%10 Aug →
dust213–4-0.0338%9 Aug →
ancient6–13-0.0018%9 Aug →
anubis5–13-0.0220%2 Aug →
mirage11–130.0325%2 Aug →
ancient13–30.0528%2 Aug →
inferno12–120.0123%1 Aug →
cache13–100.0135%29 Jul →
anubis13–3-0.0320%26 Jul →
anubis13–0-0.0319%23 Jul →
anubis3–13-0.0318%23 Jul →
cache4–13-0.0535%13 Jul →
cache5–13-0.0214%1 Jul →
cache4–13-0.0033%1 Jul →
ancient13–70.0719%10 Jun →
mirage5–13-0.0131%10 Jun →
dust213–4-0.0238%9 Jun →
nuke13–3-0.0334%9 Jun →
vertigo6–130.0332%5 Jun →
vertigo13–50.0424%5 Jun →
mirage6–130.0621%4 Jun →
dust21–13-0.0621%1 Jun →
ancient7–130.0112%26 May →
nuke13–90.1824%26 May →
dust24–130.0520%25 May →
inferno13–7-0.0031%20 May →
office3–5-0.050%13 May →
cache13–100.0318%6 May →
cache9–130.0030%6 May →
cache1–13-0.0318%29 Apr →
ancient8–130.0126%17 Apr →
dust23–130.0487%16 Apr →
nuke13–110.0133%7 Apr →
nuke12–12-0.0213%7 Apr →
mirage12–16-0.0623%3 Apr →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.