m1syki-

m1syki- — CS2 Stats

76561199035695049[U:1:1075429321]Steam profile ↗✓ No bans

1,042Tracked matches40%Win rate2021Tracked since
CSDB Rating3.2 LearningSupport
Premier CS Rating9,088Light Blue band · top ~59.3% of ranked players (population est.)
WingmanSilver I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−310Premier CS Rating · 9,398 → 9,088

Rating over time

Premier CS Rating: 9,088 +2,045 18 Sept – 28 Oct · 24 days played
5,4439,866peak 9,86618 Sept28 Oct
9,883Peak Premier in tracked matches
23Days played since 2026-09-18

Premier CS Rating

  • 778 below peak (9,866)
  • +3,387 over 30 days · improving
  • Next: Blue band at 10,000 — 912 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-18

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

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CSDB.GGm1syki-PREMIER9,088 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim29
Positioning40
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY46–54Last 10046%Win rateLWLLLWWLWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +0.5pp headshot accuracy · +1ms reaction

Win rate up 30pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 602ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 662ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 662ms

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 (+3.2 against its own average).

Aim2.9
Utility5.6
Positioning4.0
Opening Duels0.0
Clutch0.0

Effective flashesLimited 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

iM

Plays most like iM 58% 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

Strengths

T openings. 64% T opening-duel success — entries that actually open the round.

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

CT openings. Opening success drops from 64% on T to 22% on CT — first contacts on the defending side are being lost.

Reaction time. 647ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim2.9
Positioning4.0
Utility5.6
Mechanics3.3
Opening Duels4.2
Win Impact1.7

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time644ms−1ms
first ⅓ avg 645ms → last ⅓ avg 644ms
Headshot accuracy12.7%−4.0%
first ⅓ avg 16.7% → last ⅓ avg 12.7%

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

0.07Best match rating · 13–5 · inferno, 28 Oct →
33%Best headshot accuracy · 13–6 · inferno, 29 Sept →
391msFastest reaction time · 8–13 · nuke, 22 Oct →
13–1Biggest win · inferno, 1 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 67% over 15ancientWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageD196–1332%-0.06
nukeA1810–856%-0.02
infernoA169–756%-0.01
dust2S1510–567%-0.05
ancientD102–820%-0.06
cacheD103–730%-0.04
anubisC94–544%-0.03
boulder—22–0100%0.01
office—10–10%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches
18%Win rate
0.49Avg K/D
53.0ADR
35%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage40%0.417.0
Inferno333%0.5610.3
Ancient250%0.687.5
Anubis10%0.294.0
Nuke10%0.439.0

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.

12.9%Headshot accuracy
29.8%Accuracy (enemy spotted)
31.6%Spray accuracy
64.7%Counter-strafing
11.3°Preaim
647msReaction time
63.6%T opening success
22.3%CT opening success
0.78Enemies flashed / flash
2.5%Flash assists
12.31HE damage / grenade
3.54Flashes / 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 12.8658% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.5428 — below the 4 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 22.2913% — 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–16-0.0116%28 Oct →
inferno13–50.0711%28 Oct →
inferno8–13-0.0516%28 Oct →
ancient5–13-0.119%28 Oct →
nuke3–130.0413%27 Oct →
mirage13–11-0.009%27 Oct →
cache13–8-0.046%27 Oct →
cache1–13-0.1313%27 Oct →
inferno13–6-0.0117%27 Oct →
dust216–13-0.0524%27 Oct →
dust21–13-0.0913%27 Oct →
office7–13-0.088%27 Oct →
mirage7–13-0.0819%27 Oct →
nuke13–10-0.0313%27 Oct →
nuke6–130.029%26 Oct →
anubis10–13-0.019%26 Oct →
inferno6–130.0219%26 Oct →
mirage9–13-0.1010%25 Oct →
nuke14–160.0113%25 Oct →
dust213–10-0.0914%25 Oct →
inferno10–13-0.0713%24 Oct →
inferno16–13-0.018%24 Oct →
dust213–7-0.0416%24 Oct →
ancient13–7-0.0318%23 Oct →
mirage13–7-0.0115%23 Oct →
inferno13–7-0.0311%23 Oct →
ancient4–13-0.118%23 Oct →
cache11–13-0.0616%23 Oct →
mirage11–13-0.087%23 Oct →
ancient11–13-0.049%23 Oct →
anubis6–13-0.0114%23 Oct →
dust213–3-0.038%23 Oct →
mirage2–13-0.1013%23 Oct →
cache6–13-0.0215%23 Oct →
mirage5–13-0.038%22 Oct →
anubis5–13-0.0116%22 Oct →
anubis13–10-0.088%22 Oct →
ancient4–13-0.0810%22 Oct →
cache7–13-0.1012%22 Oct →
cache8–130.0017%22 Oct →
nuke8–13-0.082%22 Oct →
inferno6–13-0.1113%22 Oct →
nuke16–14-0.0010%21 Oct →
inferno13–8-0.0014%21 Oct →
boulder13–9-0.0117%21 Oct →
boulder13–70.038%21 Oct →
dust213–9-0.084%21 Oct →
mirage8–13-0.0714%20 Oct →
dust213–11-0.0320%20 Oct →
mirage13–16-0.096%20 Oct →
dust28–13-0.0421%20 Oct →
cache13–80.0615%18 Oct →
mirage13–11-0.048%18 Oct →
mirage5–13-0.1013%17 Oct →
nuke13–100.0214%17 Oct →
nuke13–110.0215%17 Oct →
cache16–14-0.0211%17 Oct →
mirage13–10-0.1220%16 Oct →
ancient12–16-0.0218%16 Oct →
inferno10–13-0.0325%16 Oct →
dust28–13-0.088%16 Oct →
inferno13–3-0.0111%12 Oct →
nuke16–12-0.0023%12 Oct →
anubis5–13-0.1031%12 Oct →
dust211–13-0.0813%12 Oct →
dust213–11-0.0531%12 Oct →
nuke13–11-0.039%11 Oct →
ancient13–10-0.0115%11 Oct →
mirage13–70.0121%11 Oct →
ancient1–13-0.0915%11 Oct →
anubis13–8-0.0417%11 Oct →
nuke1–13-0.0921%9 Oct →
cache6–130.0012%9 Oct →
mirage7–13-0.0619%8 Oct →
inferno6–130.0011%8 Oct →
nuke13–80.0018%8 Oct →
anubis7–13-0.0317%7 Oct →
nuke3–13-0.048%7 Oct →
ancient5–13-0.0315%7 Oct →
ancient11–13-0.0716%7 Oct →
dust213–30.0010%7 Oct →
mirage10–13-0.0610%7 Oct →
nuke16–14-0.0311%6 Oct →
anubis13–60.0123%6 Oct →
anubis13–7-0.0118%5 Oct →
dust213–70.0024%5 Oct →
mirage10–13-0.0811%5 Oct →
mirage10–13-0.0318%4 Oct →
inferno12–16-0.0615%4 Oct →
inferno13–50.0520%4 Oct →
nuke16–13-0.0718%4 Oct →
mirage13–3-0.0519%1 Oct →
dust213–90.0115%1 Oct →
inferno13–10.0515%1 Oct →
nuke9–13-0.0324%1 Oct →
mirage9–13-0.0719%30 Sept →
dust25–13-0.066%30 Sept →
nuke13–9-0.0016%30 Sept →
cache8–13-0.0719%29 Sept →
inferno13–60.0033%29 Sept →

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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