[Xenin] Peekachu ⚡ — CS2 Stats

ZA76561198350059857[U:1:389794129]Steam profile ↗

425Tracked matches77%Win rate2020Tracked since

1,452Hours in CS

CSDB Rating5.6 Solid

Premier CS Rating12,064Blue band · top ~44% of ranked players (population est.)

CSDB Leaderboard#11496 of 16202 tracked

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim50

Positioning64

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY60–39–1Last 10060%Win rateLWWWWWLLLL

Last 10 vs previous 10: -40pp win rate · -0.02 avg rating

Player DNA

Aim5.0

Aggression8.9

Utility6.1

Positioning6.4

Opening Duels3.2

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 87% playstyle similarity

Most alike: positioning profile, 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

Reaction time. 623ms 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

Aim5.0

Positioning6.4

Utility6.1

Mechanics6.0

Opening Duels3.2

Win Impact10.0

Composite 5.6/10 (Solid), 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 rating0.03+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time628ms−44ms

first ⅓ avg 673ms → last ⅓ avg 628ms

Headshot accuracy19.5%+0.8%

first ⅓ avg 18.7% → 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

0.19Best rating — inferno 13–3

13–1Biggest win — overpass

11Longest win streak

7–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 100% over 5nukeWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	24	10–14	42%	0.00
mirage	S	20	13–7	65%	0.01
dust2	S	19	15–4	79%	0.04
overpass	A	16	9–7	56%	0.02
nuke	D	9	3–6	33%	-0.02
anubis	S	5	4–1	80%	0.06
ancient	S	5	5–0	100%	0.00
office	—	1	1–0	100%	0.03
train	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

113,095Lifetime kills

1.14K/D · Top 50% of tracked players

5,514Matches

23.8%Match win rate

42.7%Headshot %

15.7%Shot accuracy · Top 25% of tracked players

4,830MVPs

1,452Hours (in match)

1,117Bombs planted

359Bombs defused

Most-used weapons

AK-4729,559

AWP25,975

M4A4 / M4A1-S9,624

Desert Eagle9,318

Tec-96,396

SG 5533,784

Five-SeveN3,475

SSG 083,257

P2000 / USP-S2,669

Glock-181,886

Lifetime map wins

9,758dust2

2,058inferno

707nuke

565train

394cbble

231vertigo

123lake

111safehouse

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

Faceit stats

Combat

1Matches

0%Win rate

0.38Avg K/D

44.9ADR

100%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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

27.6%Accuracy (enemy spotted)

26.4%Spray accuracy

77.1%Counter-strafing

9.1°Preaim

623msReaction time

43.5%T opening success

42.0%CT opening success

0.64Enemies flashed / flash

7.0%Flash assists

8.42HE damage / grenade

7.92Flashes / match

Recommended for you

Spend your practice time on Nuke

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	12–16	-0.05	16%	9 Mar →
mirage	13–10	-0.04	34%	4 Mar →
mirage	13–2	-0.02	10%	4 Mar →
mirage	13–9	0.02	10%	26 Feb →
dust2	16–12	0.06	20%	26 Feb →
nuke	13–10	-0.02	12%	26 Feb →
inferno	8–13	0.01	10%	26 Feb →
dust2	7–13	0.01	9%	25 Feb →
overpass	8–13	0.12	28%	25 Feb →
dust2	2–13	0.05	13%	25 Feb →
mirage	13–3	0.13	27%	25 Feb →
anubis	13–9	0.02	19%	25 Feb →
mirage	13–3	0.08	28%	25 Feb →
nuke	13–10	0.09	24%	25 Feb →
ancient	13–5	-0.02	18%	25 Feb →
dust2	13–11	0.04	30%	25 Feb →
inferno	13–7	0.01	18%	25 Feb →
inferno	13–10	-0.03	23%	24 Feb →
dust2	13–7	0.01	21%	24 Feb →
anubis	7–13	0.03	13%	24 Feb →
inferno	13–7	0.02	26%	24 Feb →
mirage	13–6	-0.00	12%	24 Feb →
mirage	5–13	-0.00	14%	24 Feb →
dust2	13–6	0.05	19%	24 Feb →
dust2	13–3	-0.01	22%	24 Feb →
mirage	13–10	0.03	29%	24 Feb →
inferno	13–4	0.03	18%	24 Feb →
anubis	13–6	0.11	14%	23 Feb →
mirage	13–4	0.03	23%	23 Feb →
dust2	13–9	0.06	20%	23 Feb →
anubis	13–9	0.06	15%	23 Feb →
nuke	13–11	0.03	17%	23 Feb →
overpass	13–1	0.18	31%	23 Feb →
dust2	13–8	0.09	30%	23 Feb →
inferno	9–13	-0.01	11%	22 Feb →
mirage	10–13	0.04	14%	22 Feb →
overpass	13–9	-0.04	13%	22 Feb →
ancient	13–6	0.04	19%	22 Feb →
nuke	9–13	-0.04	24%	22 Feb →
inferno	13–10	0.06	21%	20 Feb →
mirage	13–8	0.06	30%	20 Feb →
dust2	13–10	-0.02	28%	20 Feb →
nuke	11–13	-0.01	23%	20 Feb →
nuke	7–13	-0.02	27%	19 Feb →
overpass	13–11	-0.00	17%	19 Feb →
inferno	13–3	0.19	19%	19 Feb →
inferno	7–13	0.04	17%	5 Feb →
inferno	8–13	-0.05	19%	5 Feb →
anubis	13–8	0.10	15%	5 Feb →
overpass	10–13	0.03	10%	5 Feb →
mirage	6–13	-0.01	21%	15 Jan →
nuke	5–13	-0.08	24%	1 Nov →
dust2	13–5	0.07	20%	1 Nov →
inferno	13–9	-0.07	12%	1 Nov →
overpass	13–16	-0.02	21%	1 Nov →
ancient	13–8	-0.05	15%	25 Oct →
overpass	13–2	0.00	29%	25 Oct →
inferno	13–5	-0.01	35%	25 Oct →
mirage	5–13	-0.07	12%	22 Oct →
dust2	13–6	0.07	29%	20 Oct →
nuke	1–13	-0.10	27%	20 Oct →
inferno	7–13	-0.02	24%	20 Oct →
inferno	3–13	-0.07	12%	20 Oct →
nuke	11–13	-0.06	30%	18 Oct →
inferno	5–13	-0.04	26%	17 Oct →
inferno	8–13	-0.05	17%	17 Oct →
overpass	13–9	0.03	25%	17 Oct →
inferno	11–13	-0.02	17%	7 Oct →
overpass	13–7	0.01	11%	7 Oct →
overpass	13–1	0.04	17%	7 Oct →
overpass	10–13	0.05	19%	7 Oct →
dust2	13–8	-0.04	15%	7 Oct →
mirage	13–9	0.05	16%	6 Oct →
dust2	13–3	0.08	21%	6 Oct →
overpass	9–13	-0.05	5%	6 Oct →
dust2	2–13	-0.01	27%	6 Oct →
inferno	13–11	-0.07	19%	6 Oct →
inferno	13–11	0.02	10%	6 Oct →
dust2	13–5	0.06	32%	6 Oct →
inferno	7–13	0.01	14%	4 Oct →
mirage	7–13	-0.02	26%	3 Oct →
inferno	11–13	0.10	17%	2 Oct →
office	13–6	0.03	29%	1 Oct →
train	15–15	0.03	16%	30 Sept →
mirage	1–13	-0.05	10%	30 Sept →
mirage	14–16	0.03	18%	30 Sept →
mirage	13–7	0.04	17%	30 Sept →
overpass	7–13	0.01	20%	29 Sept →
ancient	13–8	0.02	9%	29 Sept →
mirage	13–11	-0.02	22%	28 Sept →
overpass	16–13	0.01	18%	28 Sept →
inferno	6–13	-0.01	28%	28 Sept →
dust2	10–13	0.07	26%	27 Sept →
ancient	13–6	0.00	23%	27 Sept →
overpass	13–11	0.03	22%	27 Sept →
overpass	4–13	-0.11	19%	26 Sept →
mirage	13–3	0.03	20%	26 Sept →
dust2	13–4	0.10	16%	26 Sept →
dust2	13–3	0.08	23%	26 Sept →
inferno	8–13	0.05	16%	26 Sept →