Microman

Microman — CS2 Stats

76561198050364913[U:1:90099185]Steam profile ↗✓ No bans

3,617Tracked matches63%Win rate2020Tracked since
CSDB Rating5.8 SolidSupport
Premier CS Rating22,668Top 25% of 201,197 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)
CSDB Leaderboard#45191 of 248174 tracked
FaceitLevel 8 · 2,064 ELOTop 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (6 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: 22,668 -2,260 1 Jul – 27 Sept · 14 days played
19,62525,112peak 25,1121 Jul27 Sept
Faceit ELO: 2,064 +0 29 Aug – 23 Sept · 2 observations
2,0642,064peak 2,06429 Aug23 Sept
25,112Peak Premier in tracked matches
2,064Highest Faceit ELO seen on CSDB
24Days played since 2026-06-30

Faceit ELO

  • At peak — 2,064
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 436 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-29
  • Level 9 first seen 2026-08-29

Premier CS Rating

  • 2,444 below peak (25,112)
  • +2,549 over 30 days · improving
  • -2,260 over 90 days
  • Next: Red band at 25,000 — 2,332 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-23
  • Purple band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGMicromanFACEITLevel 8 · 2,064 ELOSTANDINGTop 31.2% of rankedPREMIER22,668 · Pink band30 DAYS0 ELOPEAK ELO2,064csdb.gg/stats

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Performance scores

Aim67
Positioning52
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY56–39–5Last 10056%Win rateLLWLWLWWWL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +9.6pp headshot accuracy · +54ms reaction

Win rate down 30pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 35%
  • Avg reaction 621ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 610ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 583ms

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 (+1.8 against its own average).

Aim6.7
Utility5.7
Positioning5.2
Opening Duels1.2
Clutch3.6

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

Twistzz

Plays most like Twistzz 83% 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

Strengths

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 550ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim6.7
Positioning5.2
Utility5.7
Mechanics4.1
Opening Duels2.0
Win Impact9.4

Composite 5.8/10 (Solid), 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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time554ms+16ms
first ⅓ avg 538ms → last ⅓ avg 554ms
Headshot accuracy16.9%+1.9%
first ⅓ avg 15.0% → last ⅓ avg 16.9%

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

0.16Best match rating · 13–1 · inferno, 1 Jul →
100%Best headshot accuracy · 13–0 · inferno, 27 Sept →
313msFastest reaction time · 3–9 · inferno, 23 Aug →
13–0Biggest win · inferno, 27 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
11–4In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 71% over 14nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA3119–1261%0.02
ancientB209–1145%0.01
anubisS1410–471%-0.00
dust2A85–363%0.00
nukeD72–529%-0.01
cacheS64–267%-0.02
mirage—43–175%-0.01
overpass—31–233%0.02
vertigo—11–0100%-0.04
train—11–0100%-0.02
eldorado—10–10%-0.05
poseidon—10–10%-0.02
debris—10–10%-0.04
fachwerk—10–10%0.00
sanctum—11–0100%0.13

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,553Matches
50%Win rate
1.18Avg K/D
72.5ADR
29%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient14846%1.0314.5
Inferno11451%1.1015.1
Anubis9660%1.0114.7
Dust26136%0.9714.1
Vertigo5147%0.9915.5
Mirage3631%0.8512.8
Nuke3661%0.9314.6
Train2245%1.0815.6

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.

15.5%Headshot accuracy
37.6%Accuracy (enemy spotted)
47.8%Spray accuracy
68.3%Counter-strafing
12.1°Preaim
550msReaction time
40.9%T opening success
35.4%CT opening success
0.75Enemies flashed / flash
10.6%Flash assists
11.97HE damage / grenade
4.94Flashes / 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 12.0736° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Nuke

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 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage2–13-0.0814%27 Sept →
inferno9–13-0.0314%27 Sept →
inferno13–00.01100%27 Sept →
nuke5–130.0024%27 Sept →
dust213–50.0422%27 Sept →
cache6–13-0.0214%27 Sept →
dust213–40.0916%27 Sept →
ancient13–3-0.0011%27 Sept →
anubis13–70.0717%27 Sept →
nuke9–13-0.048%27 Sept →
nuke8–13-0.0618%27 Sept →
anubis9–6-0.060%27 Sept →
ancient13–9-0.0625%26 Sept →
dust213–20.028%26 Sept →
dust213–5-0.0315%25 Sept →
inferno13–110.0917%25 Sept →
inferno16–130.0012%22 Sept →
mirage13–10-0.0117%22 Sept →
nuke13–10.0520%22 Sept →
nuke6–13-0.0311%22 Sept →
vertigo13–10-0.048%5 Sept →
train13–5-0.0216%5 Sept →
dust25–130.0312%3 Sept →
inferno7–13-0.0817%3 Sept →
dust210–13-0.024%3 Sept →
ancient11–130.029%3 Sept →
ancient13–110.099%1 Sept →
inferno16–120.0716%1 Sept →
cache13–10-0.0214%1 Sept →
mirage13–70.0211%1 Sept →
ancient9–13-0.017%1 Sept →
cache13–80.0235%30 Aug →
anubis13–110.0320%30 Aug →
inferno15–15-0.0114%30 Aug →
dust24–13-0.0413%30 Aug →
anubis13–20.0320%29 Aug →
inferno13–80.044%29 Aug →
dust213–8-0.0814%23 Aug →
ancient10–130.0817%23 Aug →
inferno9–30.1016%23 Aug →
inferno3–9-0.1410%23 Aug →
inferno7–130.0713%23 Aug →
anubis16–13-0.0216%22 Aug →
ancient13–9-0.0115%22 Aug →
anubis13–40.0211%22 Aug →
anubis13–40.0210%21 Aug →
ancient13–50.1227%21 Aug →
inferno9–6-0.038%16 Aug →
cache16–140.0210%9 Aug →
ancient9–130.0014%9 Aug →
inferno15–150.0423%9 Aug →
inferno14–160.0115%9 Aug →
ancient11–130.0511%9 Aug →
inferno9–70.0314%9 Aug →
ancient4–13-0.0410%9 Aug →
cache13–8-0.0715%5 Aug →
inferno8–13-0.016%5 Aug →
ancient13–11-0.0312%5 Aug →
inferno13–30.0517%5 Aug →
inferno9–30.0420%4 Aug →
inferno6–9-0.0413%4 Aug →
ancient15–150.0414%4 Aug →
cache12–16-0.0521%4 Aug →
anubis7–13-0.0714%4 Aug →
eldorado5–9-0.054%26 Jul →
poseidon6–9-0.026%26 Jul →
debris8–8-0.0423%26 Jul →
fachwerk10–130.0016%26 Jul →
anubis6–13-0.0318%26 Jul →
ancient12–160.0019%10 Jul →
inferno13–50.0611%10 Jul →
anubis16–12-0.0515%10 Jul →
inferno9–00.1219%5 Jul →
inferno8–80.0612%5 Jul →
inferno6–9-0.0211%5 Jul →
overpass13–00.1011%4 Jul →
mirage13–110.0321%4 Jul →
ancient13–100.0214%4 Jul →
inferno9–40.1218%4 Jul →
inferno13–3-0.0227%4 Jul →
inferno13–1-0.008%4 Jul →
overpass7–13-0.0221%4 Jul →
inferno6–13-0.065%4 Jul →
anubis13–10-0.0018%3 Jul →
anubis19–170.0017%3 Jul →
ancient9–13-0.0313%3 Jul →
ancient14–160.0017%2 Jul →
ancient3–13-0.023%2 Jul →
sanctum9–70.1330%2 Jul →
anubis10–130.0513%2 Jul →
nuke5–130.0415%2 Jul →
ancient13–70.0025%2 Jul →
ancient13–70.0617%2 Jul →
inferno13–10.1620%1 Jul →
inferno13–11-0.005%1 Jul →
inferno13–30.0522%1 Jul →
inferno13–10.026%1 Jul →
anubis7–13-0.039%1 Jul →
overpass1–13-0.0315%1 Jul →
nuke13–11-0.036%30 Jun →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 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.