10x that shit! — CS2 Stats

76561198284158770[U:1:323893042]

1,287Tracked matches68%Win rate2020Tracked since

3,130Hours in CS1Hrs last 2 wks

CSDB Rating6.6 SolidClutch Specialist

Premier CS Rating19,474Purple band · top ~10.6% of ranked players (population est.)

CSDB Leaderboard#8566 of 18080 tracked

FaceitLevel 3 · 881 ELOTop 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning45

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateWWLTWLWLWT

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim8.1

Aggression3.2

Utility6.7

Positioning4.5

Opening Duels1.1

Clutch10.0

Strong CT-side openerReliable in 1v1s

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 NiKo 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; lower positioning 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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 45% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 591ms 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

Aim8.1

Positioning4.5

Utility6.7

Mechanics7.0

Opening Duels1.8

Win Impact10.0

Composite 6.6/10 (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 rating0.03+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time588ms+6ms

first ⅓ avg 581ms → last ⅓ avg 588ms

Headshot accuracy20.3%+2.4%

first ⅓ avg 17.9% → last ⅓ avg 20.3%

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 — mirage 6–13

13–1Biggest win — cache

5Longest win streak

W2Current streak

15–12In matches decided by ≤2 rounds

15Overtime games

Map breakdown

anubisBest map · 67% over 6infernoWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	21	11–10	52%	0.03
mirage	C	18	8–10	44%	0.03
dust2	B	16	8–8	50%	0.03
cache	B	13	7–6	54%	0.04
nuke	A	12	7–5	58%	0.02
inferno	C	11	4–7	36%	0.00
anubis	S	6	4–2	67%	0.05
overpass	—	3	2–1	67%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,329Lifetime kills

1.11K/D · Top 50% of tracked players

4,327Matches

46.6%Match win rate · Top 50% of tracked players

38.3%Headshot %

18.4%Shot accuracy · Top 10% of tracked players

11,678MVPs

1,908Hours (in match)

2,826Bombs planted

1,493Bombs defused

Most-used weapons

AK-4728,091

M4A4 / M4A1-S13,903

AWP11,224

P2000 / USP-S4,281

Glock-184,007

MP93,797

Desert Eagle3,511

MAC-102,925

Galil AR1,922

FAMAS1,409

Lifetime map wins

9,208inferno

3,428train

3,082dust2

2,848nuke

2,643vertigo

624cbble

31office

30lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

642Matches

49%Win rate

1.22Avg K/D

78.3ADR

38%Headshot %

Clutches & streaks

70%1v1 clutch win

38%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	18	39%	1.09	17.3
Ancient	9	44%	0.90	13.1
Inferno	9	33%	0.90	13.2
Overpass	6	0%	1.09	18.5
Nuke	5	40%	1.08	17.2
Dust2	3	33%	0.93	14.0
Vertigo	2	100%	0.90	12.0
Anubis	2	50%	0.88	12.0

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.

19.9%Headshot accuracy

36.6%Accuracy (enemy spotted)

40.5%Spray accuracy

81.4%Counter-strafing

8.2°Preaim

591msReaction time

24.3%T opening success

44.8%CT opening success

0.58Enemies flashed / flash

4.5%Flash assists

12.88HE damage / grenade

16.30Flashes / 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 24.3083% — 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.

36% win rate across 11 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
mirage	13–6	0.03	23%	15 Aug →
ancient	13–8	0.06	26%	14 Aug →
mirage	9–13	0.12	19%	9 Aug →
dust2	12–12	0.07	21%	9 Aug →
inferno	13–9	0.04	22%	9 Aug →
mirage	8–13	-0.01	17%	8 Aug →
ancient	13–11	0.01	9%	8 Aug →
inferno	3–13	-0.02	20%	8 Aug →
inferno	13–11	0.02	15%	6 Aug →
anubis	15–15	0.04	9%	3 Aug →
nuke	7–13	-0.07	23%	2 Aug →
cache	13–9	0.05	36%	1 Aug →
anubis	16–14	0.04	21%	1 Aug →
ancient	13–2	0.02	25%	1 Aug →
nuke	13–4	0.07	31%	1 Aug →
inferno	13–8	0.06	26%	31 Jul →
dust2	8–13	-0.02	21%	31 Jul →
ancient	13–11	0.02	22%	30 Jul →
nuke	13–11	0.02	9%	30 Jul →
cache	13–8	0.03	29%	29 Jul →
cache	5–13	0.05	20%	29 Jul →
mirage	13–9	-0.04	35%	26 Jul →
ancient	5–13	0.07	13%	25 Jul →
anubis	13–6	0.09	29%	25 Jul →
cache	13–11	0.05	14%	24 Jul →
nuke	13–6	0.00	16%	24 Jul →
ancient	13–10	0.01	12%	23 Jul →
mirage	14–16	-0.02	7%	23 Jul →
dust2	12–16	0.02	28%	23 Jul →
dust2	13–8	0.08	12%	22 Jul →
nuke	13–11	0.03	26%	22 Jul →
nuke	5–13	-0.02	17%	21 Jul →
ancient	6–13	0.01	19%	21 Jul →
dust2	5–13	-0.00	20%	21 Jul →
inferno	15–15	0.04	10%	20 Jul →
mirage	8–13	0.00	21%	20 Jul →
nuke	11–13	0.05	15%	19 Jul →
ancient	13–8	-0.03	24%	19 Jul →
mirage	11–13	0.05	18%	17 Jul →
ancient	11–13	0.10	15%	17 Jul →
mirage	13–6	0.05	21%	16 Jul →
mirage	13–11	0.07	15%	16 Jul →
ancient	13–5	-0.00	16%	15 Jul →
mirage	5–13	-0.04	14%	15 Jul →
dust2	13–7	-0.03	15%	14 Jul →
inferno	0–6	-0.04	67%	14 Jul →
dust2	8–13	0.00	19%	14 Jul →
nuke	14–16	0.03	29%	14 Jul →
cache	13–11	0.09	25%	14 Jul →
cache	13–1	0.07	26%	14 Jul →
dust2	13–2	0.09	14%	13 Jul →
dust2	13–9	-0.04	12%	13 Jul →
cache	12–12	0.02	24%	13 Jul →
ancient	13–6	0.09	21%	13 Jul →
ancient	7–13	0.04	15%	13 Jul →
mirage	13–1	0.08	19%	12 Jul →
cache	13–10	0.01	25%	12 Jul →
cache	15–15	0.05	22%	11 Jul →
dust2	13–8	0.10	20%	11 Jul →
nuke	16–14	0.08	18%	10 Jul →
cache	2–13	-0.02	29%	10 Jul →
inferno	13–11	0.03	11%	9 Jul →
inferno	10–13	-0.02	11%	9 Jul →
mirage	2–13	-0.06	33%	9 Jul →
mirage	6–13	0.14	24%	8 Jul →
cache	4–13	0.00	20%	8 Jul →
dust2	13–8	0.07	28%	8 Jul →
cache	13–11	0.04	24%	7 Jul →
cache	12–12	0.07	32%	7 Jul →
nuke	11–13	-0.06	23%	30 Jun →
overpass	2–11	-0.03	6%	29 Jun →
anubis	16–14	0.07	20%	29 Jun →
ancient	11–13	0.05	15%	29 Jun →
mirage	7–13	0.01	17%	28 Jun →
dust2	7–13	-0.04	18%	28 Jun →
dust2	8–13	-0.01	16%	28 Jun →
mirage	13–5	0.07	33%	28 Jun →
dust2	11–13	0.03	29%	28 Jun →
nuke	13–9	0.02	21%	28 Jun →
ancient	10–13	-0.05	7%	27 Jun →
inferno	14–16	-0.04	13%	27 Jun →
anubis	10–13	0.03	14%	26 Jun →
dust2	13–5	0.13	18%	26 Jun →
ancient	14–16	0.06	17%	26 Jun →
mirage	13–10	0.09	22%	25 Jun →
mirage	16–13	0.02	14%	25 Jun →
overpass	13–5	0.09	34%	25 Jun →
dust2	13–4	0.10	32%	24 Jun →
overpass	16–13	-0.02	14%	24 Jun →
inferno	10–13	-0.02	11%	24 Jun →
mirage	3–13	-0.04	13%	23 Jun →
ancient	11–13	0.00	16%	23 Jun →
ancient	16–13	0.00	10%	23 Jun →
ancient	13–11	0.04	18%	23 Jun →
nuke	13–5	0.10	17%	23 Jun →
anubis	13–11	0.03	11%	22 Jun →
ancient	8–13	0.01	8%	22 Jun →
ancient	13–10	0.04	14%	22 Jun →
inferno	11–13	0.00	18%	22 Jun →
ancient	12–16	0.00	16%	22 Jun →