wpn Blur — CS2 Stats

76561198135149377[U:1:174883649]

2,302Tracked matches59%Win rate2020Tracked since

2,319Hours in CS

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating24,999Top 50% of 819 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Pink band median
Headshot rate	40.9%	48.1%
Shot accuracy	15.0%	12.9%
Kill/death ratio	1.23	1.08
Match win rate	46.2%	46.5%

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Performance scores

Aim90

Positioning48

Utility44

0–100 skill scores via Leetify.

Recent form

HOT54–44–2Last 10054%Win rateTWWLLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

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

Aim9.0

Aggression7.5

Utility4.4

Positioning4.8

Opening Duels2.5

Clutch3.0

Sharp aimerStrong CT-side openerLimited utility dependence

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 ropz 90% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower 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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 47% on CT to 32% 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

Aim9.0

Positioning4.8

Utility4.4

Mechanics8.4

Opening Duels2.5

Win Impact7.9

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time490ms−97ms

first ⅓ avg 587ms → last ⅓ avg 490ms

Headshot accuracy20.5%+0.3%

first ⅓ avg 20.1% → last ⅓ avg 20.5%

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

0.16Best rating — mirage 13–1

13–0Biggest win — ancient

7Longest win streak

6–5In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 70% over 23nukeWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
ancient	S	23	16–7	70%	0.02
mirage	B	17	8–9	47%	0.01
dust2	B	15	8–7	53%	0.01
inferno	A	11	6–5	55%	-0.01
cache	A	11	6–5	55%	0.01
nuke	D	11	3–8	27%	0.02
anubis	A	8	5–3	63%	0.01
overpass	—	2	0–2	0%	-0.01
vertigo	—	1	1–0	100%	0.02
train	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

141,386Lifetime kills

1.23K/D · Top 50% of Pink band

5,698Matches

46.2%Match win rate

40.9%Headshot %

15.0%Shot accuracy · Top 50% of Pink band

14,443MVPs

2,319Hours (in match)

4,331Bombs planted

1,635Bombs defused

Most-used weapons

AK-4739,633

AWP22,509

UMP-4516,043

M4A4 / M4A1-S15,736

Desert Eagle7,734

P2000 / USP-S5,313

Glock-184,608

Knife2,970

Tec-92,831

SSG 082,563

Lifetime map wins

12,442dust2

10,029inferno

3,081nuke

1,660train

1,050vertigo

488office

425cbble

191lake

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

Faceit stats

Combat

820Matches

49%Win rate

1.15Avg K/D

78.5ADR

45%Headshot %

Clutches & streaks

35%1v1 clutch win

22%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	130	52%	1.11	15.7
Mirage	107	38%	1.14	16.9
Dust2	79	49%	1.12	15.8
Anubis	69	45%	0.98	14.2
Inferno	59	39%	1.08	16.3
Nuke	41	56%	1.21	17.8
Train	13	38%	0.95	15.0
Overpass	13	38%	0.76	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.

20.2%Headshot accuracy

39.3%Accuracy (enemy spotted)

37.4%Spray accuracy

87.9%Counter-strafing

9.1°Preaim

483msReaction time

32.4%T opening success

47.5%CT opening success

0.53Enemies flashed / flash

4.5%Flash assists

10.67HE damage / grenade

4.45Flashes / 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 32.3919% — below the 40% mark we flag

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.

27% win rate across 11 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	15–15	-0.03	3%	28 Aug →
mirage	13–10	0.03	19%	28 Aug →
cache	13–7	0.05	21%	28 Aug →
anubis	10–13	-0.04	16%	27 Aug →
anubis	7–13	0.01	32%	25 Aug →
inferno	13–6	0.00	14%	25 Aug →
ancient	13–7	-0.03	25%	25 Aug →
inferno	13–2	0.02	26%	25 Aug →
mirage	13–3	0.08	40%	25 Aug →
cache	13–9	0.06	23%	25 Aug →
ancient	4–13	-0.02	10%	25 Aug →
anubis	13–10	-0.06	22%	25 Aug →
cache	13–6	0.05	28%	25 Aug →
ancient	9–13	0.02	12%	24 Aug →
dust2	13–5	0.07	31%	24 Aug →
cache	13–11	0.08	14%	24 Aug →
anubis	11–13	-0.03	18%	24 Aug →
ancient	10–13	0.04	14%	24 Aug →
cache	3–13	-0.09	22%	21 Aug →
dust2	13–3	0.08	25%	21 Aug →
cache	13–11	0.01	14%	17 Aug →
dust2	13–10	-0.07	24%	17 Aug →
dust2	13–7	0.04	13%	14 Aug →
ancient	13–1	0.06	25%	14 Aug →
mirage	10–13	0.04	23%	13 Aug →
dust2	9–13	0.07	22%	13 Aug →
ancient	13–8	0.07	23%	13 Aug →
dust2	3–13	0.01	16%	11 Aug →
ancient	5–13	0.01	22%	11 Aug →
mirage	7–13	-0.05	28%	11 Aug →
nuke	8–13	0.02	16%	11 Aug →
mirage	13–6	0.02	21%	11 Aug →
ancient	10–13	-0.04	15%	11 Aug →
ancient	13–11	0.07	32%	11 Aug →
cache	1–13	-0.05	22%	8 Aug →
inferno	7–13	-0.07	9%	8 Aug →
mirage	13–1	0.16	26%	8 Aug →
nuke	3–13	0.01	14%	8 Aug →
ancient	11–13	0.11	26%	8 Aug →
nuke	11–13	-0.00	17%	29 Jul →
inferno	13–6	0.05	17%	28 Jul →
ancient	13–10	0.10	24%	28 Jul →
nuke	13–4	-0.04	8%	24 Jul →
dust2	1–13	-0.06	21%	24 Jul →
nuke	13–8	0.12	27%	24 Jul →
mirage	6–13	0.05	16%	23 Jul →
ancient	13–6	0.07	17%	23 Jul →
mirage	13–8	0.06	33%	22 Jul →
ancient	13–7	-0.02	24%	22 Jul →
inferno	13–2	0.01	30%	21 Jul →
dust2	7–13	-0.02	23%	21 Jul →
dust2	4–13	0.01	14%	21 Jul →
mirage	9–13	0.01	17%	21 Jul →
ancient	13–10	-0.02	9%	21 Jul →
dust2	8–13	-0.01	17%	21 Jul →
dust2	13–4	0.06	12%	21 Jul →
nuke	13–2	0.06	14%	21 Jul →
cache	13–11	-0.00	23%	20 Jul →
anubis	13–6	0.10	19%	20 Jul →
ancient	13–10	-0.05	26%	20 Jul →
mirage	2–13	-0.06	15%	20 Jul →
nuke	8–13	0.01	25%	20 Jul →
ancient	13–5	-0.01	17%	16 Jul →
mirage	13–8	-0.01	24%	10 Jul →
mirage	10–13	-0.04	8%	10 Jul →
nuke	11–13	-0.01	31%	10 Jul →
ancient	13–2	0.01	33%	9 Jul →
dust2	13–7	-0.02	21%	7 Jul →
vertigo	13–4	0.02	30%	7 Jul →
train	13–8	-0.05	12%	7 Jul →
anubis	13–8	-0.03	15%	7 Jul →
ancient	13–0	0.12	14%	7 Jul →
inferno	13–3	0.04	12%	6 Jul →
mirage	12–12	-0.01	6%	6 Jul →
mirage	7–13	-0.06	14%	6 Jul →
ancient	13–16	0.04	15%	6 Jul →
nuke	8–13	0.02	19%	3 Jul →
nuke	10–13	-0.04	27%	2 Jul →
mirage	16–13	-0.02	19%	2 Jul →
ancient	13–2	0.06	56%	27 Jun →
cache	1–9	0.05	25%	27 Jun →
nuke	9–13	0.12	17%	27 Jun →
ancient	13–10	0.07	14%	25 Jun →
dust2	12–16	-0.01	21%	25 Jun →
ancient	16–14	-0.02	23%	23 Jun →
inferno	5–9	-0.03	19%	23 Jun →
ancient	11–5	-0.08	15%	22 Jun →
inferno	7–13	-0.02	13%	22 Jun →
dust2	13–5	0.03	17%	22 Jun →
inferno	6–13	-0.12	16%	22 Jun →
mirage	10–13	0.02	10%	20 Jun →
dust2	13–11	0.01	20%	19 Jun →
anubis	13–10	0.09	14%	18 Jun →
anubis	13–7	0.03	13%	18 Jun →
overpass	4–13	-0.02	33%	17 Jun →
mirage	13–8	0.01	22%	16 Jun →
overpass	8–13	-0.01	23%	16 Jun →
cache	6–13	-0.04	31%	16 Jun →
cache	11–13	-0.05	26%	16 Jun →
inferno	13–4	0.01	33%	11 Jun →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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