Microb — CS2 Stats

76561198071707580[U:1:111441852]

681Tracked matches39%Win rate2020Tracked since
CSDB Rating6.3 SolidAggressive Rifler
Premier CS Rating26,137Top 25% of 819 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#1660 of 17093 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMicrobFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER26,137 · Red bandcsdb.gg/stats

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Performance scores

Aim84
Positioning54
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY53398Last 10053%Win rateLWLLWWTLLW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.4
Aggression8.1
Utility5.0
Positioning5.4
Opening Duels3.3
Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 93% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.7° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 584ms 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

Aim8.4
Positioning5.4
Utility5.0
Mechanics7.7
Opening Duels3.3
Win Impact1.4

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time574ms−52ms
first ⅓ avg 626ms → last ⅓ avg 574ms
Headshot accuracy26.6%−2.7%
first ⅓ avg 29.3% → last ⅓ avg 26.6%

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.

Highlights

0.24Best rating — inferno 11–13
130Biggest win — dust2
7Longest win streak
94In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 57% over 23dust2Weakest map · 50% over 46
MapGradePlayedRecordWin rateAvg rating
dust2B46232350%0.04
mirageA23131057%0.03
infernoA2011955%0.06
cache43175%0.05
anubis32167%-0.02
nuke2020%-0.07
overpass110100%0.00
ancient1010%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (50% over 46). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

13Matches
46%Win rate
0.98Avg K/D
101.0ADR
34%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1100%2.9029.0
Ancient10%0.8113.0
Dust210%0.6714.0

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.

26.3%Headshot accuracy
37.6%Accuracy (enemy spotted)
39.0%Spray accuracy
84.8%Counter-strafing
10.7°Preaim
584msReaction time
42.8%T opening success
43.2%CT opening success
0.53Enemies flashed / flash
8.1%Flash assists
10.11HE damage / grenade
7.15Flashes / match

Recent matches

MapScoreRatingHS%Date
dust23–130.0143%21 Aug
inferno13–40.1333%6 Aug
mirage7–130.0026%2 Aug
inferno3–120.0422%2 Aug
inferno13–50.1024%29 Jul
dust213–40.0433%29 Jul
dust212–120.0027%29 Jul
mirage6–13-0.0231%27 Jul
dust26–13-0.0023%24 Jul
inferno13–9-0.0328%18 Jul
inferno8–130.0926%7 Jul
inferno13–90.0327%5 Jul
nuke6–13-0.0718%5 Jul
anubis1–13-0.0519%5 Jul
inferno13–4-0.0115%5 Jul
anubis13–2-0.0219%5 Jul
inferno12–120.0322%30 Jun
dust22–50.1340%30 Jun
mirage13–80.0044%30 Jun
dust29–13-0.0126%29 Jun
mirage6–130.0223%28 Jun
mirage13–100.1133%27 Jun
inferno4–130.0229%27 Jun
dust210–13-0.0117%24 Jun
inferno8–130.0129%24 Jun
mirage8–13-0.0617%21 Jun
anubis13–90.0226%21 Jun
overpass13–90.0029%21 Jun
mirage11–130.0419%21 Jun
ancient5–130.0329%21 Jun
dust28–130.1329%21 Jun
inferno13–100.0935%20 Jun
dust212–120.0418%18 Jun
mirage4–130.0613%18 Jun
dust28–20.0532%18 Jun
dust213–60.0522%18 Jun
dust213–80.0135%17 Jun
inferno11–20.0724%16 Jun
dust213–110.1126%16 Jun
inferno2–3-0.0550%16 Jun
mirage13–8-0.0036%16 Jun
dust212–120.0733%15 Jun
dust22–13-0.0536%15 Jun
inferno11–130.0523%14 Jun
dust25–130.0535%14 Jun
mirage13–70.1334%14 Jun
dust211–130.0421%12 Jun
mirage13–30.0838%12 Jun
dust213–30.1120%11 Jun
dust213–110.0927%11 Jun
inferno13–40.0631%11 Jun
mirage13–50.1228%10 Jun
mirage12–120.0633%10 Jun
mirage10–13-0.0432%10 Jun
inferno13–110.1023%10 Jun
dust28–13-0.0430%10 Jun
dust26–13-0.0621%9 Jun
dust29–130.0140%9 Jun
inferno12–120.0322%9 Jun
dust213–80.1833%9 Jun
dust213–8-0.0236%8 Jun
dust213–00.1131%8 Jun
dust213–110.0923%8 Jun
dust28–130.0932%7 Jun
dust212–120.0435%7 Jun
dust213–90.0335%7 Jun
dust213–110.0840%7 Jun
dust213–60.0924%7 Jun
dust27–13-0.0117%6 Jun
dust213–70.0821%5 Jun
inferno11–130.2429%5 Jun
dust213–30.0629%3 Jun
dust23–13-0.0131%3 Jun
inferno13–00.1027%3 Jun
dust213–110.0542%3 Jun
mirage13–90.0032%2 Jun
mirage10–130.0115%2 Jun
dust213–50.1032%31 May
mirage8–13-0.0411%31 May
cache3–130.0226%31 May
cache13–100.0351%30 May
dust213–80.0433%30 May
inferno4–13-0.0128%30 May
dust213–80.0926%29 May
dust25–130.1035%29 May
cache13–110.0439%29 May
mirage9–60.0030%29 May
mirage13–30.0932%29 May
nuke3–9-0.0740%29 May
dust213–10-0.0431%29 May
dust212–12-0.0135%28 May
mirage13–5-0.0525%28 May
mirage13–11-0.0031%28 May
dust213–8-0.0412%28 May
dust21–13-0.0537%28 May
mirage13–60.0824%28 May
dust210–13-0.0321%27 May
dust213–10.0224%27 May
mirage13–50.0535%27 May
cache13–60.1242%27 May

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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