-PLJ- — CS2 Stats

DK76561198305171989[U:1:344906261]Steam profile ↗✓ No bans

6,267Tracked matches50%Win rate2020Tracked since

CSDB Rating7.2 StrongAggressive Rifler

FaceitLevel 10 · 3,250 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning59

Utility77

0–100 skill scores via Leetify.

Recent form

COLD51–47–2Last 10051%Win rateWLLLLLLWWL

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

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

Aim8.4

Aggression9.3

Utility7.7

Positioning5.9

Opening Duels4.5

Clutch4.2

Strong CT-side openerHigh utility contribution

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 ZywOo 93% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 57% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.4

Positioning5.9

Utility7.7

Mechanics7.1

Opening Duels4.5

Win Impact5.0

Composite 7.2/10 (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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time535ms−51ms

first ⅓ avg 587ms → last ⅓ avg 535ms

Headshot accuracy24.9%+2.5%

first ⅓ avg 22.4% → last ⅓ avg 24.9%

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

0.21Best rating — dust2 13–9

13–1Biggest win — anubis

4Longest win streak

6–6In matches decided by ≤2 rounds

11Overtime games

Map breakdown

dust2Best map · 67% over 15ancientWeakest map · 42% over 24

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	24	10–14	42%	0.01
nuke	A	20	11–9	55%	0.02
anubis	A	17	10–7	59%	0.02
dust2	S	15	10–5	67%	0.05
mirage	A	11	6–5	55%	0.06
inferno	—	4	1–3	25%	0.06
overpass	—	4	2–2	50%	0.02
vertigo	—	2	0–2	0%	-0.00
cache	—	1	0–1	0%	-0.04
sanctum	—	1	1–0	100%	0.05
poseidon	—	1	0–1	0%	-0.19

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 24). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6,765Matches

52%Win rate

1.11Avg K/D

80.3ADR

52%Headshot %

Clutches & streaks

41%1v1 clutch win

23%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	1114	55%	1.15	16.8
Anubis	859	54%	1.17	16.4
Nuke	452	56%	1.10	15.8
Mirage	291	39%	0.99	14.8
Vertigo	250	58%	1.16	16.9
Overpass	241	52%	1.15	16.8
Dust2	230	48%	1.00	15.3
Inferno	165	44%	1.03	15.8

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.

25.5%Headshot accuracy

35.1%Accuracy (enemy spotted)

39.0%Spray accuracy

82.1%Counter-strafing

9.8°Preaim

539msReaction time

39.6%T opening success

56.6%CT opening success

0.63Enemies flashed / flash

15.8%Flash assists

13.59HE damage / grenade

13.73Flashes / 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 39.5996% — below the 40% mark we flag

Spend your practice time on Ancient

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

42% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–6	-0.01	11%	25 Aug →
dust2	10–13	-0.06	31%	24 Aug →
cache	0–13	-0.04	13%	13 Aug →
vertigo	13–16	-0.00	23%	8 Aug →
inferno	9–13	-0.01	19%	5 Aug →
dust2	2–13	-0.07	22%	5 Aug →
inferno	10–13	0.20	30%	3 Aug →
dust2	13–7	0.06	28%	24 Jul →
mirage	13–11	0.07	30%	23 Jul →
mirage	11–13	0.06	27%	22 Jul →
dust2	13–9	0.16	29%	22 Jul →
dust2	13–7	0.04	25%	14 Jul →
mirage	8–13	0.10	24%	12 Jul →
mirage	7–13	0.12	35%	12 Jul →
anubis	8–13	-0.03	50%	8 Jul →
dust2	13–9	0.12	24%	6 Jul →
dust2	13–5	0.02	24%	4 Jul →
mirage	13–6	0.04	28%	4 Jul →
ancient	3–13	-0.03	20%	29 Jun →
anubis	13–1	0.10	26%	29 Jun →
nuke	13–8	0.00	28%	23 Jun →
nuke	13–8	0.02	22%	14 Jun →
inferno	8–13	0.02	16%	30 May →
anubis	7–13	-0.03	26%	21 May →
mirage	13–11	0.02	23%	17 May →
dust2	10–13	-0.01	21%	17 May →
mirage	13–10	0.04	33%	17 May →
nuke	13–6	-0.00	24%	12 May →
nuke	9–13	-0.00	25%	10 May →
dust2	13–1	-0.02	13%	9 May →
ancient	9–13	0.01	20%	7 May →
ancient	15–15	0.03	17%	6 May →
nuke	6–13	0.00	31%	3 May →
nuke	9–13	0.02	22%	25 Apr →
anubis	10–13	0.10	31%	22 Apr →
ancient	13–6	0.13	24%	22 Apr →
ancient	13–9	0.11	22%	22 Apr →
anubis	13–2	-0.03	21%	21 Apr →
ancient	7–13	0.00	22%	19 Apr →
ancient	2–13	-0.04	29%	19 Apr →
nuke	13–10	0.01	29%	6 Apr →
dust2	10–13	-0.03	28%	25 Mar →
anubis	13–9	-0.02	15%	24 Mar →
overpass	13–10	0.02	15%	22 Mar →
ancient	13–8	-0.03	19%	16 Mar →
anubis	10–13	-0.01	29%	16 Mar →
nuke	5–9	-0.02	27%	12 Mar →
sanctum	9–7	0.05	62%	11 Mar →
ancient	5–13	-0.11	16%	11 Mar →
ancient	16–13	-0.00	21%	10 Mar →
anubis	10–13	0.03	17%	10 Mar →
dust2	13–10	0.17	45%	8 Mar →
anubis	6–2	0.02	36%	8 Mar →
inferno	13–11	0.03	27%	4 Mar →
anubis	10–13	-0.02	10%	4 Mar →
anubis	13–11	0.03	33%	2 Mar →
mirage	9–13	0.04	28%	1 Mar →
mirage	13–8	0.09	45%	1 Mar →
ancient	5–13	-0.05	18%	27 Feb →
ancient	12–16	-0.02	18%	25 Feb →
nuke	13–4	0.02	30%	23 Feb →
dust2	13–9	0.21	32%	22 Feb →
anubis	13–6	0.12	29%	22 Feb →
overpass	10–13	-0.04	24%	16 Feb →
ancient	11–13	-0.03	25%	16 Feb →
dust2	13–6	0.06	33%	15 Feb →
overpass	9–3	0.16	43%	12 Feb →
nuke	9–7	0.07	20%	12 Feb →
vertigo	8–8	-0.01	21%	12 Feb →
poseidon	1–9	-0.19	13%	12 Feb →
overpass	7–13	-0.07	26%	10 Feb →
ancient	13–10	-0.03	15%	9 Feb →
nuke	12–16	-0.00	23%	9 Feb →
nuke	16–19	-0.04	13%	9 Feb →
ancient	14–16	-0.01	23%	7 Feb →
anubis	13–10	0.06	22%	27 Jan →
ancient	6–13	0.03	20%	26 Jan →
anubis	13–10	0.07	18%	25 Jan →
dust2	11–13	0.11	27%	24 Jan →
nuke	13–2	0.10	18%	15 Jan →
nuke	16–13	0.05	32%	15 Jan →
anubis	10–13	-0.00	17%	14 Jan →
ancient	1–13	-0.09	18%	12 Jan →
mirage	11–13	0.05	23%	9 Jan →
nuke	5–13	-0.02	39%	4 Jan →
nuke	13–2	-0.00	21%	20 Dec →
dust2	13–4	0.01	40%	20 Dec →
nuke	13–16	0.06	30%	17 Dec →
nuke	5–13	0.02	18%	3 Dec →
ancient	13–4	0.06	15%	30 Nov →
ancient	13–6	0.06	29%	18 Nov →
nuke	13–7	0.03	33%	18 Nov →
ancient	13–5	0.08	21%	18 Nov →
ancient	7–13	0.02	28%	15 Nov →
nuke	13–9	0.09	16%	11 Nov →
mirage	13–10	0.01	19%	9 Nov →
ancient	14–16	0.07	14%	3 Nov →
ancient	13–8	0.07	15%	23 Oct →
ancient	16–13	0.06	20%	18 Oct →
anubis	13–2	0.05	33%	18 Oct →