Luckyv1- — CS2 Stats

76561198110563159[U:1:150297431]✓ No bans

2,344Tracked matches67%Win rate2020Tracked since

17,001Hours in CS7Hrs last 2 wks

CSDB Rating7.7 StrongAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim88

Positioning69

Utility63

0–100 skill scores via Leetify.

Recent form

HOT52–47–1Last 10052%Win rateWWWWLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim8.8

Aggression7.7

Utility6.3

Positioning6.9

Opening Duels3.7

Clutch3.6

Sharp aimer

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 97% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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 88 — the mechanical foundation is a clear strength.

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

Aim8.8

Positioning6.9

Utility6.3

Mechanics6.6

Opening Duels3.7

Win Impact10.0

Composite 7.7/10 (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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time507ms−28ms

first ⅓ avg 534ms → last ⅓ avg 507ms

Headshot accuracy29.3%+1.4%

first ⅓ avg 27.8% → last ⅓ avg 29.3%

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

0.18Best rating — dust2 13–1

13–1Biggest win — dust2

5Longest win streak

W4Current streak

7–10In matches decided by ≤2 rounds

13Overtime games

Map breakdown

infernoBest map · 77% over 13trainWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	31	16–15	52%	0.02
inferno	S	13	10–3	77%	0.03
ancient	B	13	7–6	54%	-0.00
mirage	A	12	7–5	58%	0.00
dust2	C	10	4–6	40%	0.02
train	D	10	3–7	30%	-0.01
overpass	D	9	3–6	33%	0.01
anubis	—	2	2–0	100%	0.02

Across the last 100 tracked matches.

Lifetime stats

548,107Lifetime kills

1.19K/D · Top 25% of tracked players

13,055Matches

53.5%Match win rate · Top 10% of tracked players

54.8%Headshot % · Top 25% of tracked players

17.3%Shot accuracy · Top 25% of tracked players

54,945MVPs

9,272Hours (in match)

21,345Bombs planted

8,440Bombs defused

Most-used weapons

AK-47164,443

AWP132,939

M4A4 / M4A1-S77,958

Desert Eagle43,807

P2000 / USP-S35,247

Glock-1816,899

P25010,453

Knife10,423

SG 5537,564

Galil AR6,893

Lifetime map wins

29,313inferno

25,873dust2

23,501nuke

20,035train

6,740cbble

5,550vertigo

256office

189assault

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

Faceit stats

Combat

4,968Matches

61%Win rate

1.37Avg K/D

88.0ADR

50%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

20Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	157	72%	1.48	18.8
Nuke	129	74%	1.56	18.0
Ancient	91	60%	1.41	17.9
Inferno	58	67%	1.44	17.8
Vertigo	33	73%	1.38	15.0
Anubis	26	50%	1.45	17.3
Dust2	26	35%	1.25	17.4
Overpass	26	62%	1.53	16.9

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.

30.0%Headshot accuracy

33.8%Accuracy (enemy spotted)

33.1%Spray accuracy

79.8%Counter-strafing

8.0°Preaim

504msReaction time

38.1%T opening success

51.3%CT opening success

0.61Enemies flashed / flash

10.0%Flash assists

7.41HE damage / grenade

12.03Flashes / 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 38.148% — below the 40% mark we flag

Spend your practice time on Train

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–6	0.05	45%	24 Aug →
inferno	16–14	0.10	39%	6 Aug →
anubis	13–9	0.03	21%	19 Jul →
nuke	13–8	-0.08	8%	19 Jul →
nuke	9–13	0.03	31%	13 Jun →
inferno	13–9	0.01	17%	13 Jun →
ancient	13–10	0.02	24%	13 Jun →
mirage	13–7	0.05	41%	13 Jun →
nuke	13–7	0.12	17%	13 Jun →
mirage	13–9	0.03	43%	13 Jun →
mirage	5–13	-0.07	17%	12 Jun →
anubis	16–13	0.02	22%	12 Jun →
nuke	3–13	-0.01	34%	12 Jun →
inferno	13–4	0.07	21%	12 Jun →
nuke	13–10	0.12	33%	16 Apr →
mirage	13–11	0.06	45%	10 Apr →
inferno	13–8	0.04	29%	20 Mar →
dust2	8–13	-0.04	29%	14 Mar →
dust2	13–7	-0.00	40%	12 Mar →
dust2	13–6	-0.02	44%	12 Mar →
inferno	13–8	-0.00	28%	12 Mar →
ancient	4–13	-0.02	24%	12 Mar →
nuke	13–7	0.06	34%	10 Dec →
mirage	11–13	0.00	24%	10 Dec →
ancient	3–13	-0.07	44%	10 Dec →
ancient	8–13	0.00	16%	8 Dec →
nuke	13–9	-0.03	24%	8 Dec →
mirage	13–10	0.05	29%	8 Dec →
overpass	4–13	-0.06	30%	6 Dec →
nuke	8–13	-0.03	50%	6 Dec →
nuke	17–19	0.01	23%	6 Oct →
ancient	19–15	0.02	26%	6 Oct →
overpass	7–13	-0.01	15%	6 Oct →
inferno	8–13	-0.04	11%	5 Oct →
dust2	9–13	0.02	25%	5 Oct →
nuke	13–5	0.05	31%	5 Oct →
nuke	5–13	-0.01	30%	30 Sept →
ancient	7–13	-0.01	25%	30 Sept →
overpass	13–9	-0.02	20%	30 Sept →
nuke	13–9	0.03	29%	28 Sept →
dust2	6–13	-0.01	21%	28 Sept →
overpass	13–10	0.04	28%	28 Sept →
nuke	13–3	0.07	25%	26 Sept →
train	13–7	0.04	25%	26 Sept →
train	6–13	-0.05	31%	25 Sept →
dust2	11–13	-0.08	30%	25 Sept →
nuke	13–8	0.05	22%	25 Sept →
ancient	18–22	-0.01	35%	25 Sept →
train	6–13	0.04	39%	25 Sept →
overpass	8–13	0.03	18%	25 Sept →
nuke	13–9	-0.02	30%	23 Sept →
dust2	13–1	0.18	11%	23 Sept →
overpass	16–17	0.02	24%	23 Sept →
nuke	9–13	0.01	27%	23 Sept →
ancient	13–10	0.02	27%	23 Sept →
nuke	13–6	0.06	18%	21 Sept →
train	13–10	-0.01	42%	21 Sept →
dust2	19–22	0.05	35%	21 Sept →
train	11–13	-0.02	26%	20 Sept →
nuke	11–13	0.02	39%	20 Sept →
nuke	4–5	-0.01	25%	18 Sept →
overpass	19–15	0.05	27%	18 Sept →
nuke	11–13	0.02	18%	13 Sept →
train	0–13	-0.11	24%	13 Sept →
inferno	13–9	0.05	26%	12 Sept →
dust2	16–13	0.07	33%	12 Sept →
nuke	13–3	0.05	50%	10 Sept →
inferno	13–5	0.08	32%	10 Sept →
nuke	10–13	-0.03	18%	9 Sept →
dust2	10–13	-0.02	27%	9 Sept →
ancient	10–13	-0.01	14%	6 Sept →
nuke	7–13	0.01	36%	6 Sept →
inferno	11–13	-0.05	22%	6 Sept →
nuke	13–11	-0.00	41%	31 Aug →
train	7–12	0.04	27%	16 Aug →
nuke	9–13	-0.02	27%	16 Aug →
nuke	9–13	-0.02	27%	16 Aug →
train	7–12	0.04	27%	16 Aug →
inferno	13–7	0.01	13%	15 Aug →
nuke	22–20	0.00	27%	15 Aug →
train	13–10	-0.04	15%	13 Aug →
ancient	13–6	0.02	31%	13 Aug →
mirage	1–13	-0.04	33%	12 Aug →
inferno	6–13	0.00	23%	12 Aug →
overpass	15–19	-0.00	23%	10 Aug →
nuke	2–0	0.05	50%	10 Aug →
nuke	3–3	0.01	29%	10 Aug →
mirage	10–13	-0.05	32%	8 Aug →
overpass	9–13	0.04	33%	8 Aug →
train	13–16	-0.02	29%	6 Aug →
mirage	13–4	0.07	20%	6 Aug →
ancient	13–9	0.04	23%	6 Aug →
nuke	13–11	0.03	26%	5 Aug →
mirage	14–16	-0.07	28%	5 Aug →
mirage	13–7	-0.02	28%	4 Aug →
mirage	13–10	-0.01	34%	2 Aug →
inferno	13–6	0.05	44%	31 Jul →
ancient	13–8	0.02	25%	31 Jul →
nuke	10–13	0.05	18%	29 Jul →
ancient	13–11	-0.02	38%	29 Jul →