microbe — CS2 Stats

76561198110544336[U:1:150278608]Steam profile ↗✓ No bans

891Tracked matches63%Win rate2024Tracked since

CSDB Rating5.9 SolidHybrid Rifler

Premier CS Rating16,098Purple band · top ~24% of ranked players (population est.)

CSDB Leaderboard#21997 of 38253 tracked

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning56

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateWLWLWLWWWW

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.3

Aggression7.5

Utility4.3

Positioning5.6

Opening Duels2.7

Clutch6.6

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

Plays most like b1t 88% playstyle similarity

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

Where you differ: lower utility contribution; 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

Reaction time. 613ms 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

Aim6.3

Positioning5.6

Utility4.3

Mechanics6.9

Opening Duels2.7

Win Impact9.4

Composite 5.9/10 (Solid), 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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time613ms−15ms

first ⅓ avg 628ms → last ⅓ avg 613ms

Headshot accuracy16.2%−2.0%

first ⅓ avg 18.2% → last ⅓ avg 16.2%

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

0.13Best rating — mirage 13–5

13–0Biggest win — vertigo

7Longest win streak

6–5In matches decided by ≤2 rounds

4Overtime games

Map breakdown

ancientBest map · 83% over 6infernoWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	14–15	48%	0.02
mirage	C	25	11–14	44%	0.00
inferno	D	15	4–11	27%	0.03
anubis	A	10	6–4	60%	0.04
ancient	S	6	5–1	83%	0.04
nuke	S	5	4–1	80%	0.01
office	—	3	1–2	33%	0.02
vertigo	—	3	3–0	100%	-0.02
overpass	—	2	1–1	50%	0.06
cache	—	1	1–0	100%	-0.02
train	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

34Matches

62%Win rate

1.06Avg K/D

76.8ADR

43%Headshot %

Clutches & streaks

53%1v1 clutch win

11%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	7	71%	0.88	11.6
Dust2	7	57%	1.05	13.7
Inferno	7	57%	0.97	15.0
Ancient	5	60%	1.46	14.4
Nuke	3	67%	1.28	15.0
Train	2	50%	1.16	15.5
Anubis	2	50%	0.88	9.0

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.

16.8%Headshot accuracy

32.2%Accuracy (enemy spotted)

36.2%Spray accuracy

81.0%Counter-strafing

9.7°Preaim

613msReaction time

43.4%T opening success

38.1%CT opening success

0.46Enemies flashed / flash

1.7%Flash assists

6.29HE damage / grenade

9.06Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4566 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.0545% — below the 40% mark we flag

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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	0.03	18%	30 Jul →
dust2	9–13	0.01	23%	26 Jul →
dust2	13–11	0.04	11%	26 Jul →
ancient	7–13	0.04	14%	26 Jul →
anubis	13–4	0.09	8%	25 Jul →
dust2	9–13	0.01	17%	25 Jul →
dust2	13–8	0.02	20%	25 Jul →
dust2	13–6	0.01	10%	25 Jul →
inferno	13–4	0.02	8%	24 Jul →
dust2	13–5	-0.01	27%	24 Jul →
dust2	13–1	-0.01	9%	24 Jul →
anubis	13–6	0.01	8%	23 Jul →
ancient	13–5	0.06	18%	23 Jul →
anubis	8–13	0.04	7%	23 Jul →
anubis	13–9	0.03	26%	23 Jul →
mirage	13–8	-0.05	14%	22 Jul →
nuke	13–9	0.01	16%	21 Jul →
nuke	13–6	0.07	24%	21 Jul →
mirage	13–11	0.04	22%	21 Jul →
inferno	4–13	-0.06	25%	20 Jul →
office	6–13	-0.01	41%	20 Jul →
inferno	13–8	0.05	5%	19 Jul →
inferno	13–16	0.01	13%	18 Jul →
cache	13–10	-0.02	19%	18 Jul →
mirage	13–8	-0.03	18%	17 Jul →
mirage	3–13	-0.07	17%	17 Jul →
dust2	11–13	0.03	22%	17 Jul →
dust2	4–13	-0.07	13%	17 Jul →
dust2	13–16	0.03	14%	17 Jul →
mirage	13–4	0.10	17%	16 Jul →
dust2	13–11	-0.02	9%	16 Jul →
anubis	13–4	0.07	11%	16 Jul →
ancient	13–5	0.06	12%	16 Jul →
mirage	12–12	0.03	15%	16 Jul →
dust2	4–13	0.05	11%	16 Jul →
mirage	12–12	0.08	12%	16 Jul →
mirage	13–5	0.01	19%	16 Jul →
overpass	11–13	0.05	13%	16 Jul →
vertigo	13–0	0.00	15%	16 Jul →
mirage	11–13	0.01	28%	16 Jul →
mirage	0–13	-0.07	0%	15 Jul →
dust2	12–16	0.02	16%	15 Jul →
mirage	5–13	-0.10	8%	15 Jul →
dust2	13–6	0.03	22%	15 Jul →
dust2	13–5	0.07	18%	15 Jul →
dust2	13–8	0.05	25%	15 Jul →
dust2	8–13	-0.12	17%	14 Jul →
dust2	13–9	0.00	12%	14 Jul →
dust2	4–13	0.03	25%	13 Jul →
nuke	9–13	-0.06	11%	13 Jul →
ancient	13–5	-0.01	5%	13 Jul →
mirage	14–16	-0.04	13%	13 Jul →
anubis	7–13	-0.01	5%	13 Jul →
dust2	12–12	0.09	6%	12 Jul →
dust2	13–9	0.05	13%	12 Jul →
inferno	6–13	0.01	15%	12 Jul →
dust2	8–13	0.03	18%	11 Jul →
anubis	1–13	0.07	21%	11 Jul →
inferno	13–1	0.11	23%	11 Jul →
dust2	13–1	-0.02	22%	11 Jul →
mirage	2–13	-0.02	5%	10 Jul →
dust2	8–13	-0.07	16%	10 Jul →
dust2	10–13	0.04	11%	9 Jul →
mirage	13–11	-0.02	15%	9 Jul →
dust2	1–5	-0.09	33%	8 Jul →
mirage	6–13	-0.03	16%	8 Jul →
dust2	9–13	0.08	18%	7 Jul →
mirage	12–12	-0.04	6%	7 Jul →
nuke	13–6	-0.02	14%	7 Jul →
vertigo	13–6	-0.06	17%	7 Jul →
overpass	13–8	0.07	29%	7 Jul →
mirage	13–9	0.07	15%	7 Jul →
ancient	13–11	0.05	10%	7 Jul →
office	11–13	0.01	21%	7 Jul →
mirage	1–13	-0.06	19%	7 Jul →
inferno	12–12	0.01	19%	6 Jul →
vertigo	9–4	-0.01	21%	6 Jul →
inferno	1–13	0.04	35%	5 Jul →
inferno	13–3	0.02	18%	5 Jul →
anubis	13–10	0.03	19%	5 Jul →
inferno	7–13	0.05	16%	5 Jul →
anubis	3–13	-0.07	13%	5 Jul →
nuke	13–11	0.04	18%	5 Jul →
office	13–8	0.07	12%	5 Jul →
inferno	2–13	-0.04	27%	4 Jul →
inferno	12–12	0.08	14%	4 Jul →
inferno	6–13	0.03	13%	4 Jul →
inferno	2–13	-0.01	13%	4 Jul →
mirage	13–6	0.04	13%	4 Jul →
mirage	5–13	0.00	22%	4 Jul →
dust2	13–4	0.12	19%	4 Jul →
mirage	13–5	0.13	28%	4 Jul →
mirage	13–2	0.09	18%	4 Jul →
ancient	13–10	0.07	17%	3 Jul →
anubis	13–4	0.08	16%	3 Jul →
mirage	13–10	0.00	13%	3 Jul →
mirage	6–13	0.00	23%	3 Jul →
inferno	9–13	0.10	20%	3 Jul →
train	13–7	0.06	29%	3 Jul →
mirage	3–13	-0.06	14%	3 Jul →