Messu_gee

Messu_gee — CS2 Stats

76561198037601571[U:1:77335843]Steam profile ↗✓ No bans

1,632Tracked matches42%Win rate2020Tracked since
CSDB Rating4.5 DevelopingSupport
Ladder ranks via Leetify

Performance scores

Aim58
Positioning50
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY46–44–10Last 10046%Win rateLTWWWLLWWW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −1.5pp headshot accuracy · −8ms reaction

Win rate up 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 9%
  • Avg reaction 436ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 453ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 457ms

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: Support — Utility contribution stands above the rest of this profile (+2.7 against its own average).

Aim5.8
Utility7.0
Positioning5.0
Opening Duels0.8

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

Twistzz

Plays most like Twistzz 71% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Counter-strafing. Only 58% 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
Positioning5.0
Utility7.0
Mechanics1.9
Opening Duels2.0
Win Impact2.4

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 time474ms−77ms
first ⅓ avg 551ms → last ⅓ avg 474ms
Headshot accuracy15.7%+0.1%
first ⅓ avg 15.6% → last ⅓ avg 15.7%

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

0.17Best match rating · 8–13 · office, 4 Apr →
38%Best headshot accuracy · 13–3 · office, 13 Apr →
305msFastest reaction time · 13–11 · office, 11 Oct →
13–1Biggest win · office, 3 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–5In matches decided by ≤2 rounds

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 2 maps qualify so far.

MapGradePlayedRecordWin rateAvg rating
officeB9946–5346%0.01
inferno—10–10%0.01

Across the last 100 tracked matches.

Skill profile

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

16.4%Headshot accuracy
29.8%Accuracy (enemy spotted)
33.0%Spray accuracy
58.4%Counter-strafing
8.0°Preaim
471msReaction time
39.3%T opening success
36.8%CT opening success
0.61Enemies flashed / flash
1.9%Flash assists
13.44HE damage / grenade
11.28Flashes / 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 39.2739% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
office5–13-0.047%17 Oct →
office12–12-0.014%17 Oct →
office13–5-0.0417%16 Oct →
office13–90.056%15 Oct →
office4–10.0211%14 Oct →
office9–13-0.0324%13 Oct →
office9–13-0.0119%12 Oct →
office13–110.0613%11 Oct →
office13–90.0423%11 Oct →
office13–6-0.0230%10 Oct →
office13–100.0620%10 Oct →
office10–130.0225%10 Oct →
office12–12-0.0518%9 Oct →
office9–13-0.0114%9 Oct →
office2–13-0.0215%8 Oct →
office11–130.0412%8 Oct →
office13–60.0313%7 Oct →
office13–10-0.028%7 Oct →
office4–13-0.0120%7 Oct →
office13–90.0224%6 Oct →
office6–13-0.0417%6 Oct →
office8–13-0.0211%5 Oct →
office7–13-0.0335%4 Oct →
office12–120.0014%4 Oct →
office8–13-0.067%4 Oct →
office12–12-0.0021%4 Oct →
office13–110.0312%3 Oct →
office3–13-0.0530%3 Oct →
office3–100.0113%2 Oct →
office5–130.0210%1 Oct →
office13–8-0.019%1 Oct →
office13–10-0.009%30 Sept →
office7–13-0.077%24 Sept →
office13–4-0.0310%24 Sept →
office8–130.0212%24 Sept →
office4–130.0213%23 Sept →
office7–13-0.035%22 Sept →
office13–60.007%22 Sept →
office1–13-0.0329%21 Sept →
office12–120.0117%4 May →
office13–5-0.0517%26 Apr →
office13–10-0.0421%26 Apr →
office3–00.0711%26 Apr →
office7–130.0212%26 Apr →
office13–50.0621%24 Apr →
office12–120.0314%24 Apr →
office4–130.0223%24 Apr →
office13–100.0414%24 Apr →
inferno11–130.0121%23 Apr →
office7–13-0.0210%23 Apr →
office13–40.016%23 Apr →
office8–130.1015%22 Apr →
office13–40.1430%22 Apr →
office13–100.028%22 Apr →
office11–130.0114%21 Apr →
office13–9-0.0320%21 Apr →
office13–100.0421%21 Apr →
office10–130.0531%20 Apr →
office13–90.0417%20 Apr →
office13–9-0.0133%20 Apr →
office13–30.1424%19 Apr →
office13–9-0.0119%19 Apr →
office13–40.0215%18 Apr →
office12–120.1610%18 Apr →
office11–130.0813%17 Apr →
office9–13-0.005%17 Apr →
office5–13-0.0619%16 Apr →
office1–7-0.100%16 Apr →
office13–9-0.044%16 Apr →
office9–13-0.0024%16 Apr →
office13–4-0.0113%15 Apr →
office13–50.0424%14 Apr →
office13–80.0418%14 Apr →
office13–30.0738%13 Apr →
office3–13-0.100%13 Apr →
office13–9-0.0611%13 Apr →
office8–130.0217%13 Apr →
office13–100.0017%12 Apr →
office13–100.0011%12 Apr →
office4–130.0020%12 Apr →
office13–30.0911%12 Apr →
office13–11-0.0025%12 Apr →
office12–120.0119%11 Apr →
office11–13-0.0219%10 Apr →
office10–13-0.0015%10 Apr →
office7–13-0.0816%9 Apr →
office12–120.0515%9 Apr →
office8–130.0214%8 Apr →
office4–13-0.0518%7 Apr →
office12–12-0.017%6 Apr →
office6–130.0013%4 Apr →
office13–60.1211%4 Apr →
office8–130.0118%4 Apr →
office8–130.1716%4 Apr →
office13–7-0.0314%4 Apr →
office13–40.1119%3 Apr →
office13–100.1216%3 Apr →
office13–10.1630%3 Apr →
office13–70.0216%3 Apr →
office7–13-0.036%2 Apr →

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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