✤金⚒ — CS2 Stats

76561198263857192[U:1:303591464]✓ No bans

683Tracked matches43%Win rate2021Tracked since

CSDB Rating5.1 DevelopingAggressive Rifler

Premier CS Rating4,587Grey band · top ~80.5% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim70

Positioning54

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateLWWWWLLWLW

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.

Aim7.0

Aggression8.3

Utility5.9

Positioning5.4

Opening Duels3.2

Clutch6.0

Strong 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 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 54% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 583ms 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

Aim7.0

Positioning5.4

Utility5.9

Mechanics6.5

Opening Duels3.2

Win Impact2.8

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time580ms−21ms

first ⅓ avg 602ms → last ⅓ avg 580ms

Headshot accuracy19.5%+4.2%

first ⅓ avg 15.3% → last ⅓ avg 19.5%

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

0.20Best rating — inferno 13–6

13–1Biggest win — mirage

6Longest win streak

11–5In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 71% over 14dust2Weakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	17	9–8	53%	0.00
nuke	B	15	7–8	47%	-0.00
anubis	S	14	10–4	71%	0.02
inferno	B	14	7–7	50%	0.04
cache	C	10	4–6	40%	0.05
mirage	B	10	5–5	50%	0.00
dust2	D	7	1–6	14%	0.01
overpass	—	4	2–2	50%	-0.00
vertigo	—	3	2–1	67%	0.03
alpine	—	2	1–1	50%	0.06
office	—	2	2–0	100%	0.06
italy	—	1	0–1	0%	0.02
train	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

10Matches

40%Win rate

0.64Avg K/D

68.8ADR

34%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLLW

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.

19.5%Headshot accuracy

33.3%Accuracy (enemy spotted)

37.9%Spray accuracy

79.4%Counter-strafing

9.9°Preaim

583msReaction time

31.3%T opening success

54.4%CT opening success

0.55Enemies flashed / flash

2.9%Flash assists

8.07HE damage / grenade

18.29Flashes / 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 31.3145% — below the 40% mark we flag

Spend your practice time on Dust 2

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	7–13	0.04	16%	24 Aug →
anubis	13–5	0.08	29%	14 Aug →
dust2	13–2	0.06	20%	14 Aug →
ancient	13–7	0.03	23%	14 Aug →
nuke	13–6	0.06	18%	11 Aug →
mirage	8–13	0.01	22%	5 Aug →
anubis	7–13	-0.08	14%	5 Aug →
mirage	13–2	0.01	18%	5 Aug →
inferno	8–13	0.06	22%	3 Aug →
ancient	13–9	0.04	23%	3 Aug →
vertigo	13–11	-0.00	14%	2 Aug →
cache	3–13	0.05	30%	2 Aug →
ancient	10–13	0.01	21%	1 Aug →
vertigo	13–3	0.09	11%	30 Jul →
ancient	13–8	0.02	19%	30 Jul →
dust2	8–13	0.04	30%	30 Jul →
nuke	13–5	0.08	26%	30 Jul →
cache	11–13	0.04	22%	30 Jul →
cache	13–5	-0.01	16%	29 Jul →
nuke	9–13	0.02	21%	29 Jul →
anubis	13–8	0.11	17%	28 Jul →
anubis	3–13	-0.07	25%	28 Jul →
anubis	13–4	0.00	22%	27 Jul →
nuke	12–16	0.01	17%	26 Jul →
dust2	7–13	-0.01	22%	25 Jul →
mirage	8–13	0.03	13%	25 Jul →
mirage	13–16	-0.03	5%	25 Jul →
ancient	3–13	-0.10	19%	25 Jul →
cache	5–13	0.02	22%	25 Jul →
ancient	5–13	0.00	19%	21 Jul →
mirage	16–14	-0.03	21%	21 Jul →
inferno	13–16	0.04	20%	19 Jul →
cache	13–11	0.02	8%	6 Jul →
cache	7–0	0.15	4%	6 Jul →
alpine	13–7	0.08	10%	6 Jul →
nuke	13–5	0.02	21%	6 Jul →
office	13–11	0.11	20%	4 Jul →
ancient	13–10	0.01	16%	4 Jul →
mirage	10–13	-0.03	8%	3 Jul →
nuke	13–2	-0.02	27%	3 Jul →
nuke	9–13	-0.02	14%	30 Jun →
anubis	13–10	-0.04	19%	29 Jun →
cache	2–13	0.05	20%	29 Jun →
mirage	8–13	0.02	14%	29 Jun →
cache	13–4	0.13	26%	29 Jun →
inferno	5–13	0.02	19%	27 Jun →
ancient	13–11	0.01	19%	27 Jun →
dust2	10–13	0.04	31%	27 Jun →
inferno	8–13	-0.01	26%	27 Jun →
nuke	8–13	-0.02	12%	26 Jun →
inferno	6–13	-0.06	18%	26 Jun →
overpass	7–13	-0.04	22%	26 Jun →
ancient	5–13	-0.03	17%	26 Jun →
ancient	2–13	-0.07	14%	26 Jun →
inferno	13–6	0.20	33%	26 Jun →
anubis	16–14	0.01	17%	25 Jun →
dust2	8–13	-0.02	16%	24 Jun →
dust2	8–13	-0.05	22%	23 Jun →
ancient	13–9	0.09	19%	23 Jun →
anubis	13–7	0.06	11%	23 Jun →
inferno	13–7	0.04	27%	23 Jun →
ancient	8–13	-0.02	27%	23 Jun →
anubis	11–13	-0.03	11%	22 Jun →
nuke	12–12	-0.05	21%	22 Jun →
ancient	10–13	-0.02	14%	22 Jun →
nuke	16–14	0.02	17%	21 Jun →
nuke	13–11	0.04	12%	21 Jun →
inferno	3–13	-0.03	16%	21 Jun →
overpass	2–13	-0.06	10%	21 Jun →
ancient	13–7	-0.01	13%	21 Jun →
anubis	13–5	0.01	8%	21 Jun →
inferno	13–5	0.02	24%	21 Jun →
ancient	13–4	0.08	19%	21 Jun →
italy	6–13	0.02	19%	20 Jun →
anubis	13–5	0.09	22%	20 Jun →
ancient	13–6	0.00	12%	20 Jun →
anubis	13–11	0.05	24%	17 Jun →
overpass	13–7	0.07	25%	17 Jun →
train	13–7	0.06	20%	16 Jun →
alpine	8–13	0.04	25%	16 Jun →
inferno	13–2	0.18	17%	16 Jun →
inferno	13–4	0.10	19%	16 Jun →
inferno	13–7	0.02	14%	16 Jun →
nuke	13–6	-0.07	16%	16 Jun →
mirage	13–10	-0.04	17%	16 Jun →
anubis	11–13	0.03	11%	15 Jun →
anubis	13–6	-0.01	8%	15 Jun →
inferno	9–13	0.00	15%	15 Jun →
dust2	3–13	0.01	13%	13 Jun →
mirage	13–3	0.04	18%	13 Jun →
nuke	9–13	-0.00	13%	13 Jun →
ancient	11–13	0.00	13%	12 Jun →
nuke	5–13	-0.09	11%	12 Jun →
vertigo	12–12	0.01	11%	11 Jun →
cache	10–13	-0.03	15%	11 Jun →
office	13–8	0.02	9%	11 Jun →
overpass	16–14	0.03	15%	11 Jun →
mirage	13–1	0.02	12%	11 Jun →
nuke	11–13	-0.04	14%	11 Jun →
inferno	13–11	-0.08	9%	10 Jun →