micha

micha — CS2 Stats

DE76561197976985135[U:1:16719407]Steam profile ↗✓ No bans

2,201Tracked matches36%Win rate2020Tracked since
CSDB Rating2.8 LearningPositional Player
Premier CS Rating8,626Light Blue band · top ~61.5% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (yesterday). 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: 8,626 +1,971 2 Jul – 5 Oct · 30 days played
6,65513,056peak 13,0562 Jul5 Oct
13,111Peak Premier in tracked matches
36Days played since 2026-07-02

Premier CS Rating

  • 4,430 below peak (13,056)
  • -1,740 over 30 days · declining
  • +1,971 over 90 days
  • Next: Blue band at 10,000 — 1,374 to go
  • Reached: 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.GGmichaFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER8,626 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim27
Positioning48
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY42–54–4Last 10042%Win rateWLLWLLTWLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −2.6pp headshot accuracy · +92ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 10%
  • Avg reaction 653ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 702ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 656ms

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 (+1.5 against its own average).

Aim2.7
Utility4.3
Positioning4.8
Opening Duels1.3
Clutch2.6

Strong CT-side openerLimited 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

NiKo

Plays most like NiKo 61% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 50% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 657ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim2.7
Positioning4.8
Utility4.3
Mechanics2.8
Opening Duels3.0
Win Impact0.2

Composite 2.8/10 (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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time651ms−38ms
first ⅓ avg 689ms → last ⅓ avg 651ms
Headshot accuracy11.5%−1.2%
first ⅓ avg 12.8% → last ⅓ avg 11.5%

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 · 13–3 · nuke, 26 Jul →
25%Best headshot accuracy · 2–13 · inferno, 20 Sept →
375msFastest reaction time · 7–13 · ancient, 8 Sept →
13–1Biggest win · cache, 28 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–17In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 62% over 21ancientWeakest map · 23% over 22
MapGradePlayedRecordWin rateAvg rating
ancientD225–1723%-0.02
nukeA2113–862%-0.01
anubisB209–1145%-0.01
infernoA2011–955%-0.01
cacheD103–730%-0.01
dust2—30–30%-0.02
mirage—30–30%-0.06
vertigo—11–0100%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 22). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4Matches
50%Win rate
0.64Avg K/D
65.3ADR
31%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient250%0.6412.5
Nuke1100%0.447.0
Inferno10%0.8315.0

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.

11.6%Headshot accuracy
31.4%Accuracy (enemy spotted)
35.0%Spray accuracy
62.7%Counter-strafing
12.3°Preaim
657msReaction time
34.0%T opening success
49.9%CT opening success
0.57Enemies flashed / flash
6.4%Flash assists
6.75HE damage / grenade
1.56Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3426° — above the 12° mark we flag

    Aim Training →
  2. 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 11.6317% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

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

    Flashes per match 1.5588 — below the 4 mark we flag

    Grenade Lineups →
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.

23% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–70.125%5 Oct →
dust28–13-0.067%5 Oct →
anubis11–13-0.0117%5 Oct →
inferno7–20.1211%5 Oct →
mirage10–13-0.0212%1 Oct →
mirage6–13-0.129%1 Oct →
dust215–15-0.0415%29 Sept →
nuke16–140.0315%29 Sept →
dust214–160.0415%28 Sept →
anubis13–7-0.002%28 Sept →
mirage11–13-0.0419%28 Sept →
cache13–10.0414%28 Sept →
anubis11–13-0.018%21 Sept →
anubis13–40.0312%21 Sept →
ancient6–13-0.0311%21 Sept →
ancient9–13-0.0612%21 Sept →
ancient6–130.0211%20 Sept →
inferno2–13-0.0725%20 Sept →
ancient13–110.0414%20 Sept →
ancient7–13-0.0810%8 Sept →
anubis13–8-0.039%8 Sept →
anubis3–13-0.0614%7 Sept →
anubis13–9-0.0217%7 Sept →
ancient11–13-0.045%7 Sept →
inferno7–13-0.076%6 Sept →
nuke13–9-0.0213%6 Sept →
anubis10–13-0.047%6 Sept →
anubis15–150.039%2 Sept →
anubis7–13-0.036%31 Aug →
ancient11–13-0.0017%31 Aug →
ancient11–130.0813%31 Aug →
cache7–13-0.048%30 Aug →
nuke13–80.0011%30 Aug →
ancient15–150.015%30 Aug →
nuke16–12-0.0611%26 Aug →
inferno6–130.019%26 Aug →
inferno13–70.0013%23 Aug →
anubis10–130.019%23 Aug →
nuke8–13-0.047%23 Aug →
nuke3–13-0.098%21 Aug →
inferno13–7-0.039%21 Aug →
ancient1–13-0.1021%21 Aug →
inferno3–13-0.0320%21 Aug →
nuke13–100.049%19 Aug →
anubis5–13-0.0224%19 Aug →
inferno13–16-0.017%18 Aug →
cache13–16-0.0016%18 Aug →
anubis9–13-0.026%18 Aug →
ancient13–6-0.065%18 Aug →
nuke10–13-0.0313%17 Aug →
nuke13–70.0215%17 Aug →
ancient4–13-0.0210%17 Aug →
inferno13–100.039%17 Aug →
anubis11–13-0.074%16 Aug →
nuke10–13-0.078%16 Aug →
anubis13–5-0.049%16 Aug →
anubis4–13-0.049%10 Aug →
inferno11–130.0111%10 Aug →
nuke13–50.047%10 Aug →
nuke8–13-0.078%9 Aug →
ancient13–9-0.0113%7 Aug →
anubis13–7-0.014%7 Aug →
ancient13–16-0.0111%7 Aug →
ancient6–13-0.0514%5 Aug →
cache1–130.0519%5 Aug →
inferno13–7-0.0215%3 Aug →
nuke9–13-0.0315%3 Aug →
cache13–8-0.0111%2 Aug →
nuke11–13-0.039%2 Aug →
ancient13–16-0.0310%2 Aug →
cache13–9-0.0517%28 Jul →
nuke13–20.0216%28 Jul →
ancient14–160.0412%28 Jul →
anubis13–8-0.0317%27 Jul →
inferno13–9-0.039%27 Jul →
ancient6–13-0.0613%27 Jul →
inferno13–110.0212%26 Jul →
nuke13–30.129%26 Jul →
cache11–130.0314%26 Jul →
nuke11–13-0.0213%26 Jul →
anubis16–140.0212%20 Jul →
cache8–13-0.0520%20 Jul →
inferno13–110.025%20 Jul →
ancient13–11-0.058%16 Jul →
inferno7–13-0.0521%16 Jul →
cache9–13-0.0820%16 Jul →
inferno11–13-0.0213%15 Jul →
ancient13–8-0.0711%15 Jul →
ancient11–13-0.0110%15 Jul →
nuke13–7-0.016%14 Jul →
ancient11–13-0.0113%14 Jul →
nuke13–50.047%14 Jul →
inferno13–110.0122%14 Jul →
inferno13–40.0110%13 Jul →
nuke13–9-0.0518%13 Jul →
inferno11–13-0.0312%9 Jul →
nuke13–4-0.016%9 Jul →
vertigo13–5-0.0016%6 Jul →
cache12–12-0.0415%6 Jul →
inferno13–30.0313%2 Jul →

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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