Mymmeli

Mymmeli — CS2 Stats

76561198982123998[U:1:1021858270]Steam profile ↗✓ No bans

1,061Tracked matches62%Win rate2020Tracked since
CSDB Rating7.2 StrongPositional Player
Premier CS Rating19,491Top 50% of 204,793 CSDB-tracked playersPurple band · top ~10.5% of ranked players (population est.)
CSDB Leaderboard#89964 of 252068 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

+315Premier CS Rating · 19,176 → 19,491

Rating over time

Premier CS Rating: 19,491 +2,730 25 Apr – 15 Oct · 22 days played
15,48419,877peak 19,87725 Apr15 Oct
19,877Peak Premier in tracked matches
34Days played since 2026-04-25

Premier CS Rating

  • 386 below peak (19,877)
  • +154 over 30 days · steady
  • Next: Pink band at 20,000 — 509 to go
  • Reached: 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.

Share this profile

CSDB.GGMymmeliPREMIER19,491 · Purple bandcsdb.gg/stats

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Performance scores

Aim85
Positioning74
Utility44

0–100 skill scores via Leetify.

Recent form

HOT50–43–7Last 10050%Win rateLWWWWLWWWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −0.8pp headshot accuracy · +39ms reaction

Win rate up 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

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 13%
  • Avg reaction 684ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 625ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 606ms

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 (+2.1 against its own average).

Aim8.5
Utility4.4
Positioning7.4
Opening Duels4.2

Sharp aimer

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 89% 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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

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. 560ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim8.5
Positioning7.4
Utility4.4
Mechanics7.4
Opening Duels5.4
Win Impact9.0

Composite 7.2/10 (Strong), 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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time601ms−66ms
first ⅓ avg 667ms → last ⅓ avg 601ms
Headshot accuracy14.0%−1.4%
first ⅓ avg 15.5% → last ⅓ avg 14.0%

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

0.25Best match rating · 9–0 · nuke, 8 Oct →
31%Best headshot accuracy · 13–4 · cache, 2 Sept →
391msFastest reaction time · 7–13 · inferno, 23 Aug →
13–1Biggest win · anubis, 15 May →

Across the last 100 tracked matches.

Highlights

8Longest win streak
5–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 80% over 5infernoWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
nukeA4626–2057%0.02
mirageB189–950%0.01
infernoD175–1229%-0.01
anubisA95–456%0.03
ancientS54–180%0.00
cache—41–325%0.00
overpass—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Inferno 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.

16.2%Headshot accuracy
41.8%Accuracy (enemy spotted)
44.6%Spray accuracy
83.2%Counter-strafing
9.6°Preaim
560msReaction time
49.3%T opening success
53.8%CT opening success
0.53Enemies flashed / flash
6.3%Flash assists
6.06HE damage / grenade
5.23Flashes / match

Recommended for you

Spend your practice time on Inferno

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–9-0.0611%15 Oct →
inferno13–10-0.0319%15 Oct →
nuke9–50.084%8 Oct →
nuke9–00.2517%8 Oct →
nuke9–60.0313%6 Oct →
mirage3–130.1018%6 Oct →
nuke13–70.0311%5 Oct →
mirage13–60.0211%5 Oct →
nuke10–7-0.0313%5 Oct →
cache8–130.0315%5 Oct →
nuke9–2-0.0115%5 Oct →
nuke9–20.1813%5 Oct →
anubis4–13-0.0010%4 Oct →
mirage10–13-0.0012%4 Oct →
cache6–13-0.068%4 Oct →
nuke13–90.0210%27 Sept →
mirage13–50.1125%27 Sept →
inferno5–13-0.0318%27 Sept →
inferno13–110.0111%24 Sept →
nuke7–9-0.0116%24 Sept →
nuke2–9-0.1215%24 Sept →
nuke9–60.0515%24 Sept →
nuke8–80.0111%24 Sept →
nuke3–9-0.1024%24 Sept →
nuke8–8-0.0010%24 Sept →
nuke6–9-0.0220%24 Sept →
nuke9–70.085%24 Sept →
anubis13–70.1011%23 Sept →
nuke13–70.0122%21 Sept →
nuke15–150.0414%21 Sept →
anubis13–160.0019%17 Sept →
mirage7–13-0.0217%17 Sept →
nuke13–50.0611%16 Sept →
mirage8–13-0.0423%16 Sept →
nuke14–160.0321%9 Sept →
mirage13–5-0.0511%9 Sept →
inferno11–13-0.0015%9 Sept →
anubis13–70.0619%7 Sept →
nuke13–60.1019%7 Sept →
nuke13–60.0126%5 Sept →
anubis13–40.0718%5 Sept →
mirage16–120.0622%5 Sept →
inferno13–3-0.005%5 Sept →
mirage13–6-0.0029%5 Sept →
nuke13–80.008%5 Sept →
nuke10–13-0.0010%5 Sept →
ancient13–20.0013%5 Sept →
nuke13–40.056%5 Sept →
nuke9–60.169%5 Sept →
cache13–40.0431%2 Sept →
nuke4–9-0.1525%2 Sept →
nuke3–9-0.113%2 Sept →
nuke7–90.0511%2 Sept →
nuke1–130.0116%1 Sept →
inferno8–130.0419%1 Sept →
nuke7–13-0.0014%31 Aug →
mirage13–5-0.0122%31 Aug →
inferno11–130.0219%31 Aug →
inferno7–13-0.040%23 Aug →
cache6–13-0.0112%23 Aug →
mirage15–15-0.0518%22 Aug →
nuke10–13-0.0117%22 Aug →
nuke13–90.0314%22 Aug →
nuke13–90.058%22 Aug →
nuke13–80.0511%22 Aug →
nuke9–50.0424%22 Aug →
inferno13–4-0.0518%21 Aug →
inferno13–70.0119%20 Aug →
mirage10–13-0.038%6 Aug →
anubis13–50.0322%6 Aug →
nuke3–9-0.190%6 Aug →
mirage13–20.067%5 Aug →
inferno8–130.0124%5 Aug →
nuke9–00.200%5 Aug →
inferno14–16-0.0213%13 Jul →
ancient13–3-0.008%13 Jul →
mirage11–13-0.0212%21 May →
nuke13–40.028%21 May →
ancient13–60.0321%19 May →
nuke13–11-0.0016%15 May →
overpass10–13-0.0430%15 May →
anubis13–10.0812%15 May →
inferno6–13-0.0314%12 May →
nuke4–90.0120%12 May →
nuke4–13-0.0117%12 May →
nuke9–60.0822%12 May →
inferno6–13-0.0212%11 May →
ancient13–110.0426%11 May →
nuke11–130.0231%7 May →
mirage13–9-0.0513%7 May →
nuke9–7-0.0219%4 May →
inferno15–150.0213%29 Apr →
anubis8–13-0.008%26 Apr →
mirage5–130.0227%26 Apr →
inferno15–150.0213%26 Apr →
ancient13–16-0.0518%25 Apr →
mirage13–6-0.0112%25 Apr →
anubis3–13-0.099%25 Apr →
inferno9–13-0.0523%25 Apr →
mirage15–150.0214%25 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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