(-_-(-_-(-_-)-_-)-_-) — CS2 Stats

76561197990547391[U:1:30281663]Steam profile ↗✓ No bans

1,339Tracked matches60%Win rate2020Tracked since

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating21,340Top 50% of 29,473 CSDB-tracked playersPink band · top ~7% of ranked players (population est.)

CSDB Leaderboard#16692 of 53901 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning54

Utility57

0–100 skill scores via Leetify.

Recent form

HOT59–35–6Last 10059%Win rateWLWWWWLWLW

Last 10 vs previous 10: +10pp win rate · -0.04 avg rating

Player DNA

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

Aim7.1

Aggression7.2

Utility5.7

Positioning5.4

Opening Duels2.2

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

Plays most like b1t 90% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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. 556ms 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

Aim7.1

Positioning5.4

Utility5.7

Mechanics6.6

Opening Duels2.2

Win Impact8.3

Composite 6.2/10 (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 rating-0.02−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time552ms−35ms

first ⅓ avg 586ms → last ⅓ avg 552ms

Headshot accuracy18.4%−4.7%

first ⅓ avg 23.1% → last ⅓ avg 18.4%

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

0.14Best rating — cache 13–2

13–0Biggest win — train

6Longest win streak

7–9In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 75% over 12overpassWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	29	18–11	62%	0.00
ancient	B	17	9–8	53%	0.00
anubis	S	12	9–3	75%	-0.01
overpass	D	11	3–8	27%	-0.01
cache	S	10	7–3	70%	0.00
inferno	C	7	3–4	43%	-0.01
train	S	7	5–2	71%	-0.00
mirage	—	4	2–2	50%	-0.00
nuke	—	3	3–0	100%	0.01

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

759Matches

51%Win rate

1.12Avg K/D

73.3ADR

38%Headshot %

Clutches & streaks

14%1v1 clutch win

19%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	39	62%	1.01	15.2
Ancient	30	43%	1.14	15.0
Vertigo	16	50%	1.23	16.1
Mirage	12	42%	1.09	13.4
Overpass	12	75%	1.55	15.9
Dust2	10	50%	1.00	13.6
Nuke	4	25%	0.99	15.5
Inferno	4	50%	1.02	16.0

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.

19.3%Headshot accuracy

30.4%Accuracy (enemy spotted)

35.5%Spray accuracy

79.7%Counter-strafing

8.4°Preaim

556msReaction time

36.9%T opening success

41.0%CT opening success

0.52Enemies flashed / flash

12.5%Flash assists

11.90HE damage / grenade

7.31Flashes / 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 36.9326% — below the 40% mark we flag

Spend your practice time on Overpass

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

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–4	-0.03	17%	29 Aug →
cache	3–13	-0.09	8%	29 Aug →
anubis	13–1	-0.04	9%	29 Aug →
dust2	13–5	-0.08	23%	29 Aug →
cache	13–1	-0.02	21%	29 Aug →
anubis	13–2	-0.06	17%	29 Aug →
dust2	3–13	-0.01	29%	29 Aug →
anubis	13–2	-0.00	25%	29 Aug →
dust2	9–13	-0.05	14%	28 Aug →
dust2	13–5	0.04	18%	28 Aug →
ancient	13–11	-0.03	21%	15 Aug →
anubis	7–13	-0.00	18%	15 Aug →
dust2	13–4	0.08	24%	15 Aug →
anubis	4–1	-0.03	13%	15 Aug →
mirage	6–13	-0.00	22%	14 Aug →
dust2	13–1	0.03	12%	14 Aug →
inferno	10–13	-0.07	10%	14 Aug →
ancient	13–6	0.03	18%	14 Aug →
dust2	13–9	0.02	30%	14 Aug →
dust2	9–13	0.01	12%	8 Aug →
dust2	9–13	-0.01	28%	8 Aug →
mirage	7–13	-0.03	27%	8 Aug →
cache	13–10	-0.00	16%	8 Aug →
cache	13–11	0.06	29%	8 Aug →
anubis	3–13	-0.08	24%	8 Aug →
ancient	10–13	0.05	22%	7 Aug →
ancient	13–6	-0.05	16%	7 Aug →
dust2	1–13	-0.09	5%	7 Aug →
cache	13–3	-0.06	25%	7 Aug →
dust2	13–11	-0.10	14%	30 Jul →
cache	13–8	-0.07	6%	30 Jul →
anubis	13–2	0.01	21%	27 Jul →
cache	13–6	0.03	14%	27 Jul →
dust2	13–5	-0.02	12%	25 Jul →
cache	13–16	0.00	25%	25 Jul →
ancient	8–13	-0.00	21%	25 Jul →
cache	1–6	0.01	14%	25 Jul →
dust2	13–10	0.03	14%	21 Jul →
inferno	11–13	0.07	19%	21 Jul →
dust2	15–15	-0.04	16%	20 Jul →
cache	13–2	0.14	22%	20 Jul →
anubis	11–13	0.00	12%	20 Jul →
overpass	5–13	-0.05	13%	14 Feb →
overpass	2–13	-0.06	5%	14 Feb →
inferno	13–4	0.05	15%	13 Feb →
ancient	11–13	0.03	18%	13 Feb →
dust2	13–9	0.05	31%	13 Feb →
ancient	13–10	0.03	12%	13 Feb →
dust2	13–11	-0.01	35%	13 Feb →
dust2	14–16	-0.03	12%	12 Feb →
anubis	13–4	-0.06	8%	12 Feb →
dust2	1–13	-0.02	19%	12 Feb →
dust2	15–15	-0.00	16%	5 Nov →
ancient	15–15	-0.02	27%	1 Nov →
overpass	9–13	-0.01	13%	1 Nov →
train	10–13	-0.04	16%	31 Oct →
dust2	7–3	-0.01	23%	31 Oct →
overpass	6–13	-0.02	13%	31 Oct →
overpass	6–13	-0.03	40%	24 Oct →
mirage	13–11	0.03	26%	24 Oct →
ancient	15–15	-0.05	19%	24 Oct →
overpass	13–6	0.08	12%	17 Oct →
ancient	11–13	0.00	19%	17 Oct →
anubis	13–9	0.02	19%	17 Oct →
train	11–2	0.04	30%	17 Oct →
overpass	8–13	-0.04	25%	17 Oct →
ancient	13–11	0.00	36%	8 Oct →
dust2	13–2	0.01	23%	8 Oct →
nuke	13–8	0.00	22%	8 Oct →
ancient	11–13	-0.03	17%	23 Aug →
overpass	13–6	-0.00	14%	23 Aug →
dust2	13–10	-0.00	18%	23 Aug →
inferno	13–3	0.00	15%	22 Aug →
dust2	12–12	0.01	39%	22 Aug →
overpass	15–15	-0.03	26%	10 Aug →
train	13–0	-0.04	29%	10 Aug →
dust2	13–6	-0.02	25%	8 Aug →
overpass	14–16	-0.03	17%	1 Aug →
inferno	3–13	-0.09	26%	1 Aug →
train	13–8	0.01	23%	1 Aug →
dust2	13–2	0.08	28%	1 Aug →
ancient	5–13	0.02	11%	1 Aug →
anubis	13–1	0.08	25%	26 Apr →
train	13–6	0.06	16%	25 Apr →
inferno	13–8	-0.04	14%	25 Apr →
ancient	13–7	0.02	26%	25 Apr →
dust2	11–13	-0.01	15%	25 Apr →
mirage	13–9	0.00	15%	20 Apr →
nuke	13–10	0.03	21%	20 Apr →
ancient	13–10	0.04	22%	20 Apr →
train	11–13	-0.04	8%	20 Apr →
dust2	13–10	0.02	25%	20 Apr →
dust2	13–8	0.04	27%	18 Apr →
overpass	13–11	0.07	35%	18 Apr →
nuke	13–7	-0.01	32%	18 Apr →
ancient	13–6	0.08	27%	18 Apr →
anubis	13–6	0.09	21%	18 Apr →
inferno	7–13	-0.00	19%	18 Apr →
train	13–1	0.02	50%	18 Apr →
dust2	13–7	0.09	33%	18 Apr →