LEPE — CS2 Stats

JP76561198137920616[U:1:177654888]Steam profile ↗✓ No bans

2,218Tracked matches48%Win rate2020Tracked since

5,190Hours in CS40Hrs last 2 wks

CSDB Rating4.2 Developing

Ladder ranks via Leetify

Performance scores

Aim50

Positioning52

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY43–55–2Last 10043%Win rateWLWLWLWLTL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim5.0

Aggression6.4

Utility4.7

Positioning5.2

Opening Duels1.9

Clutch4.4

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 83% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher opening-fight frequency; 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. 624ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.0

Positioning5.2

Utility4.7

Mechanics3.4

Opening Duels1.9

Win Impact4.4

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time616ms−39ms

first ⅓ avg 656ms → last ⅓ avg 616ms

Headshot accuracy20.3%−0.9%

first ⅓ avg 21.2% → 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

0.18Best rating — ancient 13–7

13–0Biggest win — inferno

7Longest win streak

2–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

mirageBest map · 60% over 15overpassWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	25	10–15	40%	-0.00
inferno	B	16	8–8	50%	0.00
mirage	A	15	9–6	60%	-0.00
nuke	B	15	7–8	47%	-0.01
dust2	B	10	5–5	50%	-0.02
overpass	D	7	1–6	14%	0.01
cache	D	5	1–4	20%	0.02
anubis	D	5	1–4	20%	0.01
train	—	2	1–1	50%	0.03

Across the last 100 tracked matches.

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

Lifetime stats

111,682Lifetime kills

0.88K/D

5,858Matches

44.8%Match win rate

42.8%Headshot %

12.7%Shot accuracy · Top 50% of tracked players

13,924MVPs

2,743Hours (in match)

3,038Bombs planted

1,492Bombs defused

Most-used weapons

AK-4728,071

M4A4 / M4A1-S18,480

AWP13,615

Desert Eagle9,576

P2000 / USP-S7,394

Glock-185,492

Knife2,381

Galil AR2,348

P2502,213

UMP-452,008

Lifetime map wins

9,089inferno

3,146train

2,962nuke

2,007dust2

1,771cbble

677office

615vertigo

182italy

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

Faceit stats

Combat

1,349Matches

52%Win rate

0.90Avg K/D

70.7ADR

43%Headshot %

Clutches & streaks

42%1v1 clutch win

20%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	186	55%	0.88	13.7
Mirage	168	45%	0.80	13.8
Inferno	158	58%	0.88	13.9
Nuke	88	55%	0.90	14.6
Overpass	88	57%	0.86	13.2
Anubis	37	41%	0.86	13.9
Dust2	23	52%	0.72	12.5
Train	15	40%	0.93	14.7

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

32.2%Accuracy (enemy spotted)

35.1%Spray accuracy

65.3%Counter-strafing

10.4°Preaim

624msReaction time

33.8%T opening success

41.5%CT opening success

0.60Enemies flashed / flash

3.3%Flash assists

7.08HE damage / grenade

6.51Flashes / 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 33.8375% — 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.

14% win rate across 7 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	13–6	-0.01	16%	24 Aug →
cache	10–13	0.06	21%	20 Aug →
ancient	13–11	0.04	14%	20 Aug →
dust2	6–13	0.04	32%	20 Aug →
inferno	13–8	0.00	17%	20 Aug →
inferno	4–13	-0.06	5%	19 Aug →
ancient	16–12	-0.00	23%	19 Aug →
mirage	9–13	0.06	23%	13 Aug →
nuke	15–15	-0.03	15%	8 Aug →
inferno	14–16	-0.04	19%	5 Aug →
ancient	13–9	0.00	24%	3 Aug →
dust2	13–8	-0.05	22%	3 Aug →
inferno	3–13	-0.06	23%	30 Jul →
ancient	9–13	-0.02	22%	21 Jul →
inferno	13–1	0.07	29%	20 Jul →
ancient	3–13	-0.11	19%	16 Jul →
inferno	13–10	-0.00	22%	13 Jul →
mirage	9–13	0.00	20%	11 Jul →
dust2	13–10	0.02	26%	9 Jul →
inferno	13–0	0.10	15%	9 Jul →
dust2	1–13	-0.08	19%	9 Jul →
dust2	7–13	-0.01	27%	9 Jul →
ancient	13–7	-0.03	25%	6 Jul →
dust2	13–6	-0.06	12%	6 Jul →
cache	9–13	-0.00	21%	6 Jul →
ancient	7–13	-0.07	0%	2 Jul →
nuke	13–8	-0.02	20%	1 Jul →
anubis	9–13	-0.02	20%	29 Jun →
nuke	13–4	0.00	27%	29 Jun →
ancient	7–13	-0.05	20%	29 Jun →
overpass	13–6	0.09	32%	29 Jun →
ancient	4–13	0.02	17%	29 Jun →
nuke	7–13	-0.03	23%	27 Jun →
overpass	5–13	-0.12	17%	26 Jun →
nuke	13–11	-0.01	18%	26 Jun →
ancient	7–13	-0.03	19%	26 Jun →
ancient	13–10	-0.01	18%	26 Jun →
mirage	13–10	-0.00	16%	26 Jun →
dust2	5–13	-0.06	25%	26 Jun →
ancient	9–13	-0.05	18%	24 Jun →
ancient	6–13	-0.04	14%	24 Jun →
dust2	13–10	0.02	28%	22 Jun →
ancient	9–13	-0.00	20%	22 Jun →
dust2	13–9	-0.00	33%	22 Jun →
train	11–13	-0.02	16%	18 Jun →
nuke	13–8	0.03	20%	17 Jun →
mirage	16–13	0.01	18%	16 Jun →
mirage	13–9	-0.05	11%	13 Jun →
mirage	13–5	0.02	14%	12 Jun →
mirage	11–13	-0.05	6%	10 Jun →
inferno	13–16	-0.03	11%	10 Jun →
mirage	13–10	0.04	17%	9 Jun →
inferno	13–9	-0.04	8%	9 Jun →
mirage	13–6	-0.03	9%	8 Jun →
nuke	13–9	0.03	20%	8 Jun →
cache	13–5	0.03	27%	5 Jun →
nuke	13–7	0.01	19%	3 Jun →
mirage	13–6	0.03	19%	3 Jun →
mirage	9–13	-0.04	15%	3 Jun →
anubis	15–15	0.06	21%	3 Jun →
ancient	8–13	-0.05	19%	1 Jun →
overpass	11–13	-0.01	12%	1 Jun →
ancient	13–4	-0.03	13%	31 May →
mirage	13–6	0.03	18%	24 May →
ancient	7–13	-0.05	11%	24 May →
overpass	8–13	0.01	23%	24 May →
overpass	11–13	0.12	17%	17 May →
nuke	4–9	-0.02	16%	15 May →
overpass	10–13	-0.00	22%	15 May →
nuke	4–13	-0.07	50%	15 May →
inferno	6–13	-0.09	0%	14 May →
overpass	8–13	-0.04	28%	14 May →
dust2	14–16	-0.06	18%	14 May →
mirage	5–13	0.02	24%	14 May →
mirage	5–13	-0.08	17%	8 May →
cache	11–13	0.02	14%	8 May →
ancient	11–13	-0.08	12%	7 May →
ancient	13–7	0.18	26%	6 May →
anubis	13–8	-0.00	20%	6 May →
ancient	8–13	0.02	14%	5 May →
nuke	10–13	0.03	18%	5 May →
nuke	5–13	-0.06	10%	5 May →
nuke	13–2	0.02	16%	5 May →
cache	2–13	0.00	14%	29 Apr →
inferno	11–13	-0.03	16%	29 Apr →
inferno	13–10	0.09	28%	25 Apr →
ancient	5–13	0.03	24%	25 Apr →
train	13–5	0.08	33%	24 Apr →
anubis	10–13	0.05	22%	21 Apr →
nuke	5–13	0.01	20%	21 Apr →
nuke	5–13	0.00	24%	16 Apr →
inferno	10–13	0.10	16%	13 Apr →
ancient	13–6	0.12	32%	13 Apr →
ancient	13–7	0.08	28%	9 Apr →
inferno	7–13	-0.01	35%	8 Apr →
inferno	13–6	0.07	11%	7 Apr →
ancient	8–13	0.09	14%	7 Apr →
anubis	8–13	-0.02	27%	7 Apr →
inferno	13–9	-0.04	31%	6 Apr →
mirage	13–5	-0.03	21%	6 Apr →