ma1n — CS2 Stats

CO76561198030587119[U:1:70321391]Steam profile ↗

1,519Tracked matches66%Win rate2020Tracked since

CSDB Rating7.4 StrongAggressive Rifler

Premier CS Rating28,346Top 5% of 819 CSDB-tracked playersRed band · top ~1.4% of ranked players (population est.)

CSDB Leaderboard#313 of 16615 tracked

FaceitLevel 10 · 2,116 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim89

Positioning58

Utility55

0–100 skill scores via Leetify.

Recent form

HOT58–40–2Last 10058%Win rateTWWLWLWWWW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.9

Aggression8.7

Utility5.5

Positioning5.8

Opening Duels4.0

Clutch4.6

Sharp aimerStrong CT-side opener

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 94% playstyle similarity

Most alike: utility contribution, 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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 31 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.

T-side openings. Opening success drops from 55% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.9

Positioning5.8

Utility5.5

Mechanics6.4

Opening Duels4.0

Win Impact10.0

Composite 7.4/10 (Strong), 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 time460ms−64ms

first ⅓ avg 524ms → last ⅓ avg 460ms

Headshot accuracy22.6%−1.3%

first ⅓ avg 23.9% → last ⅓ avg 22.6%

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

0.21Best rating — dust2 13–2

13–1Biggest win — nuke

9Longest win streak

7–4In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 70% over 10cacheWeakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	26	16–10	62%	0.03
ancient	A	18	11–7	61%	0.02
cache	C	16	6–10	38%	0.01
nuke	A	12	7–5	58%	0.04
inferno	A	10	6–4	60%	0.04
mirage	S	10	7–3	70%	0.01
anubis	A	8	5–3	63%	0.01

Across the last 100 tracked matches.

Faceit stats

Combat

1,242Matches

51%Win rate

1.18Avg K/D

89.9ADR

39%Headshot %

Clutches & streaks

43%1v1 clutch win

25%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	106	50%	1.24	17.8
Dust2	74	51%	1.17	16.8
Mirage	61	38%	1.11	17.8
Anubis	57	49%	1.16	17.0
Inferno	32	31%	1.18	17.5
Nuke	25	60%	1.32	18.6
Overpass	13	46%	1.30	19.1
Train	10	50%	1.05	15.3

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.

22.3%Headshot accuracy

36.1%Accuracy (enemy spotted)

40.0%Spray accuracy

78.9%Counter-strafing

8.3°Preaim

454msReaction time

37.0%T opening success

54.7%CT opening success

0.59Enemies flashed / flash

6.7%Flash assists

9.43HE damage / grenade

7.18Flashes / 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.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 37.0393% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	15–15	0.02	21%	28 Aug →
mirage	13–10	-0.02	26%	28 Aug →
cache	13–7	0.02	33%	28 Aug →
ancient	9–13	0.06	29%	26 Aug →
ancient	13–7	0.03	22%	26 Aug →
dust2	3–13	-0.01	35%	26 Aug →
ancient	16–14	0.01	17%	26 Aug →
mirage	13–7	0.04	38%	26 Aug →
inferno	13–6	0.00	25%	25 Aug →
ancient	13–7	0.02	17%	25 Aug →
inferno	13–2	0.10	17%	25 Aug →
mirage	13–3	-0.01	26%	25 Aug →
ancient	3–13	-0.07	12%	22 Aug →
mirage	5–13	-0.05	26%	22 Aug →
ancient	3–13	-0.02	29%	21 Aug →
mirage	16–13	0.03	24%	21 Aug →
inferno	13–7	0.09	25%	21 Aug →
mirage	13–3	0.09	34%	21 Aug →
nuke	13–1	0.06	20%	21 Aug →
dust2	7–13	-0.08	13%	21 Aug →
dust2	13–11	-0.03	20%	21 Aug →
nuke	13–3	0.09	21%	21 Aug →
anubis	8–13	-0.00	14%	20 Aug →
anubis	13–10	0.02	17%	20 Aug →
inferno	16–14	-0.03	20%	19 Aug →
dust2	13–9	0.02	16%	19 Aug →
nuke	10–13	-0.02	17%	19 Aug →
nuke	13–3	0.18	25%	19 Aug →
mirage	6–13	0.01	18%	18 Aug →
ancient	10–13	-0.00	22%	18 Aug →
cache	6–13	0.01	21%	14 Aug →
dust2	13–4	0.09	23%	12 Aug →
ancient	13–6	0.02	22%	7 Aug →
nuke	14–16	0.02	32%	7 Aug →
ancient	6–13	-0.02	15%	7 Aug →
dust2	10–13	-0.08	9%	7 Aug →
anubis	8–13	-0.00	13%	7 Aug →
dust2	13–9	0.01	6%	6 Aug →
ancient	13–6	0.03	18%	6 Aug →
dust2	12–16	0.01	34%	5 Aug →
nuke	19–17	-0.01	16%	4 Aug →
cache	4–13	0.02	22%	4 Aug →
inferno	10–13	0.07	27%	1 Aug →
cache	5–13	-0.00	15%	1 Aug →
cache	13–8	0.03	21%	31 Jul →
cache	13–7	-0.01	25%	31 Jul →
nuke	5–13	-0.01	12%	31 Jul →
inferno	13–4	0.01	18%	31 Jul →
nuke	13–3	0.03	42%	31 Jul →
dust2	13–8	0.01	28%	31 Jul →
cache	10–13	0.06	23%	30 Jul →
dust2	25–23	0.01	18%	30 Jul →
cache	7–13	-0.04	22%	30 Jul →
ancient	2–13	-0.03	18%	30 Jul →
anubis	13–9	0.03	21%	29 Jul →
cache	7–13	0.02	19%	29 Jul →
cache	6–13	0.06	21%	29 Jul →
dust2	8–13	-0.02	16%	29 Jul →
cache	1–13	-0.04	27%	25 Jul →
inferno	13–5	0.10	38%	25 Jul →
mirage	11–13	-0.01	21%	25 Jul →
cache	15–15	0.02	17%	25 Jul →
cache	13–6	0.06	9%	23 Jul →
ancient	13–6	0.10	13%	23 Jul →
dust2	13–4	-0.01	33%	23 Jul →
ancient	13–6	-0.01	46%	22 Jul →
dust2	13–10	-0.00	17%	22 Jul →
anubis	13–10	0.06	24%	22 Jul →
ancient	13–10	0.06	18%	21 Jul →
dust2	8–13	0.01	29%	21 Jul →
dust2	13–4	0.08	23%	21 Jul →
nuke	13–2	0.08	41%	21 Jul →
dust2	13–11	0.02	32%	17 Jul →
cache	13–8	0.02	28%	16 Jul →
anubis	13–8	0.05	14%	16 Jul →
ancient	13–8	0.08	14%	14 Jul →
dust2	13–2	0.21	31%	14 Jul →
dust2	13–1	0.04	24%	12 Jul →
ancient	12–1	0.03	33%	12 Jul →
cache	2–13	-0.01	24%	12 Jul →
dust2	13–4	0.06	32%	11 Jul →
cache	13–11	-0.01	25%	9 Jul →
inferno	11–13	0.02	9%	9 Jul →
dust2	7–13	0.00	24%	9 Jul →
anubis	13–7	-0.01	22%	9 Jul →
nuke	13–7	0.01	23%	2 Jul →
nuke	10–13	0.10	41%	2 Jul →
mirage	16–13	-0.03	15%	2 Jul →
inferno	8–13	0.04	15%	1 Jul →
anubis	7–13	-0.06	24%	27 Jun →
dust2	13–6	0.05	28%	27 Jun →
ancient	13–9	0.01	13%	27 Jun →
dust2	12–16	0.01	18%	25 Jun →
dust2	9–13	-0.04	25%	25 Jun →
nuke	4–13	-0.03	15%	25 Jun →
mirage	13–4	0.02	18%	25 Jun →
dust2	13–3	0.09	18%	24 Jun →
dust2	13–7	0.19	48%	24 Jun →
ancient	4–13	-0.02	25%	24 Jun →
dust2	11–13	0.03	15%	23 Jun →