JW — CS2 Stats

PRO“kidrauhl”EYEBALLERSSwedenAWPerSettings & gear profile →

SE76561198031554200[U:1:71288472]Steam profile ↗✓ No bans

3,297Tracked matches40%Win rate2020Tracked since

CSDB Rating6.8 SolidAggressive Rifler

FaceitLevel 10 · 3,310 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim94

Positioning54

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY55–45Last 10055%Win rateWLLLWLWWLW

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

Player DNA

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

Aim9.4

Aggression8.1

Utility6.4

Positioning5.4

Opening Duels3.3

Clutch3.4

Sharp aimerStrong CT-side opener

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: 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

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 58% on CT to 28% 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

Aim9.4

Positioning5.4

Utility6.4

Mechanics7.1

Opening Duels3.6

Win Impact1.7

Composite 6.8/10 (Solid), 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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time431ms+10ms

first ⅓ avg 421ms → last ⅓ avg 431ms

Headshot accuracy22.4%−1.1%

first ⅓ avg 23.5% → last ⅓ avg 22.4%

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

0.24Best rating — mirage 13–2

13–0Biggest win — overpass

9Longest win streak

6–10In matches decided by ≤2 rounds

15Overtime games

Map breakdown

overpassBest map · 75% over 8dust2Weakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	29	15–14	52%	0.04
inferno	B	17	9–8	53%	0.01
ancient	S	16	11–5	69%	0.01
nuke	S	10	7–3	70%	-0.01
anubis	A	9	5–4	56%	-0.03
dust2	D	8	2–6	25%	-0.01
overpass	S	8	6–2	75%	0.03
cache	—	2	0–2	0%	-0.03
vertigo	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,692Matches

51%Win rate

1.12Avg K/D

84.9ADR

40%Headshot %

Clutches & streaks

37%1v1 clutch win

23%1v2 clutch win

15Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	308	60%	1.31	18.1
Ancient	214	59%	1.23	17.8
Anubis	162	57%	1.22	18.4
Inferno	98	63%	1.39	19.2
Dust2	53	60%	1.15	16.1
Nuke	49	57%	1.23	15.5
Overpass	40	42%	1.15	17.9
Vertigo	35	37%	0.96	15.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$5,716Inventory value103ItemsFull inventory breakdown →

$1,805

$1,745

$887

$512

$203

$158

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.0%Headshot accuracy

39.7%Accuracy (enemy spotted)

45.1%Spray accuracy

81.8%Counter-strafing

8.4°Preaim

426msReaction time

28.0%T opening success

58.4%CT opening success

0.61Enemies flashed / flash

11.3%Flash assists

11.01HE damage / grenade

18.92Flashes / 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 27.9892% — below the 40% mark we flag

Spend your practice time on Dust 2

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–9	0.01	31%	27 Aug →
mirage	7–13	-0.01	16%	19 Aug →
anubis	14–16	-0.02	22%	9 Aug →
mirage	11–13	0.00	18%	9 Aug →
inferno	13–6	0.02	18%	9 Aug →
mirage	17–19	-0.01	24%	9 Aug →
ancient	13–7	0.02	16%	9 Aug →
ancient	13–11	-0.04	21%	8 Aug →
inferno	17–19	-0.00	20%	8 Aug →
anubis	13–10	0.01	14%	8 Aug →
anubis	13–6	0.05	10%	7 Aug →
ancient	13–1	0.10	22%	7 Aug →
nuke	13–9	-0.01	27%	31 Jul →
mirage	9–13	0.02	16%	29 Jul →
mirage	12–16	0.01	24%	22 Jul →
dust2	8–13	-0.03	23%	22 Jul →
inferno	13–5	0.09	27%	21 Jul →
ancient	9–13	-0.02	18%	21 Jul →
inferno	6–13	0.03	29%	16 Jul →
vertigo	7–13	-0.01	22%	13 Jul →
mirage	13–3	0.04	18%	13 Jul →
mirage	7–13	0.05	28%	12 Jul →
ancient	22–20	-0.01	11%	5 Jul →
cache	3–13	-0.04	27%	5 Jul →
mirage	14–16	0.00	43%	5 Jul →
inferno	13–9	-0.02	28%	4 Jul →
dust2	19–22	0.02	27%	4 Jul →
ancient	10–13	0.02	17%	4 Jul →
cache	7–13	-0.02	19%	3 Jul →
nuke	6–13	-0.01	21%	3 Jul →
inferno	13–5	0.08	35%	2 Jul →
ancient	13–10	0.06	23%	1 Jul →
inferno	13–6	0.08	22%	16 Jun →
mirage	10–13	-0.02	21%	16 Jun →
nuke	13–8	0.09	22%	15 Jun →
inferno	11–13	0.05	22%	15 Jun →
mirage	13–2	0.24	34%	15 Jun →
ancient	9–13	-0.01	13%	24 May →
inferno	20–22	0.01	18%	24 May →
overpass	13–5	-0.03	25%	24 May →
dust2	13–5	0.05	29%	23 May →
nuke	13–8	0.03	20%	23 May →
overpass	13–0	0.03	29%	22 May →
anubis	13–9	0.02	30%	22 May →
ancient	3–13	-0.09	14%	22 May →
ancient	13–8	0.01	27%	29 Apr →
anubis	16–13	-0.01	16%	29 Apr →
dust2	11–13	-0.02	25%	25 Apr →
mirage	6–13	0.07	32%	25 Apr →
anubis	13–10	-0.04	20%	23 Apr →
mirage	13–10	0.03	15%	23 Apr →
ancient	13–7	-0.01	26%	19 Apr →
mirage	13–8	0.04	17%	14 Apr →
mirage	14–16	-0.01	10%	12 Apr →
mirage	4–13	-0.07	23%	9 Apr →
nuke	4–13	-0.08	30%	9 Apr →
mirage	13–8	0.09	18%	9 Apr →
ancient	14–16	-0.00	18%	9 Apr →
inferno	2–13	-0.07	27%	9 Apr →
inferno	16–13	0.03	24%	8 Apr →
dust2	13–9	-0.02	18%	8 Apr →
nuke	5–13	-0.07	24%	8 Apr →
mirage	13–5	-0.05	18%	7 Apr →
overpass	4–13	-0.03	37%	7 Apr →
ancient	13–9	0.04	21%	7 Apr →
anubis	9–13	-0.03	19%	7 Apr →
mirage	7–13	0.01	16%	7 Apr →
nuke	16–14	0.00	24%	6 Apr →
mirage	13–6	0.12	23%	6 Apr →
overpass	7–13	0.03	21%	5 Apr →
mirage	7–13	-0.00	32%	5 Apr →
inferno	6–13	-0.05	11%	28 Mar →
dust2	9–13	-0.01	17%	28 Mar →
dust2	9–13	-0.01	17%	28 Mar →
inferno	6–13	-0.05	11%	28 Mar →
ancient	13–1	0.05	31%	28 Mar →
mirage	13–2	0.17	24%	28 Mar →
mirage	13–2	0.17	24%	28 Mar →
ancient	13–1	0.05	31%	28 Mar →
overpass	13–4	0.06	42%	27 Mar →
mirage	13–7	0.03	20%	27 Mar →
mirage	13–7	0.03	20%	27 Mar →
overpass	13–4	0.06	42%	27 Mar →
nuke	13–6	-0.01	9%	26 Mar →
anubis	3–13	-0.10	33%	26 Mar →
inferno	16–14	0.01	26%	26 Mar →
nuke	13–6	-0.01	9%	26 Mar →
inferno	16–14	0.01	26%	26 Mar →
anubis	3–13	-0.10	33%	26 Mar →
overpass	13–6	0.06	25%	26 Mar →
mirage	13–8	0.06	28%	26 Mar →
mirage	13–8	0.06	28%	26 Mar →
overpass	13–6	0.06	25%	26 Mar →
dust2	6–13	-0.02	27%	14 Mar →
inferno	9–13	-0.04	18%	14 Mar →
ancient	13–10	-0.02	22%	12 Mar →
mirage	13–5	-0.00	23%	12 Mar →
inferno	13–6	0.01	15%	12 Mar →
nuke	13–11	-0.05	11%	4 Mar →
mirage	4–13	-0.05	29%	4 Mar →