KebabLad — CS2 Stats

76561199041810427[U:1:1081544699]✓ No bans

1,686Tracked matches52%Win rate2020Tracked since

3,337Hours in CS76Hrs last 2 wks

CSDB Rating6.0 SolidAggressive Rifler

Premier CS Rating22,345Top 50% of 819 CSDB-tracked playersPink band · top ~5.9% of ranked players (population est.)

CSDB Leaderboard#4645 of 14941 tracked

FaceitLevel 7 · 1,384 ELOTop 42.3% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim80

Positioning65

Utility22

0–100 skill scores via Leetify.

Recent form

COLD50–42–8Last 10050%Win rateLLLWTLWLLL

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.

Aim8.0

Aggression9.3

Utility2.2

Positioning6.5

Opening Duels5.1

Clutch0.2

Strong 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 donk 86% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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 62% on CT to 39% 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

Aim8.0

Positioning6.5

Utility2.2

Mechanics5.4

Opening Duels5.1

Win Impact5.7

Composite 6.0/10 (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 rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time468ms−17ms

first ⅓ avg 485ms → last ⅓ avg 468ms

Headshot accuracy21.1%+1.4%

first ⅓ avg 19.7% → last ⅓ avg 21.1%

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 — nuke 13–7

13–0Biggest win — cache

9Longest win streak

L3Current streak

7–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

officeBest map · 100% over 10infernoWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	15	5–10	33%	0.02
ancient	D	15	5–10	33%	0.01
mirage	A	14	8–6	57%	0.01
nuke	B	11	5–6	45%	0.01
anubis	D	10	3–7	30%	0.01
office	S	10	10–0	100%	0.07
inferno	D	9	2–7	22%	0.02
cache	A	9	5–4	56%	0.01
vertigo	S	6	6–0	100%	0.05
fachwerk	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

153,409Lifetime kills

1.63K/D · Top 5% of Pink band

11,081Matches

76.6%Match win rate · Top 5% of Pink band

49.1%Headshot % · Top 50% of Pink band

13.9%Shot accuracy · Top 50% of Pink band

18,905MVPs

1,932Hours (in match)

3,056Bombs planted

1,465Bombs defused

Most-used weapons

AK-4758,031

AWP23,470

M4A4 / M4A1-S20,318

Desert Eagle8,346

P2000 / USP-S6,497

SSG 086,001

Glock-185,127

Galil AR2,782

FAMAS1,937

Knife1,887

Lifetime map wins

5,848inferno

5,633dust2

5,485vertigo

4,896nuke

3,461office

1,714train

1,650italy

786cbble

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

Faceit stats

Combat

215Matches

49%Win rate

1.14Avg K/D

89.3ADR

46%Headshot %

Clutches & streaks

21%1v1 clutch win

8%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	13	62%	1.14	17.1
Inferno	12	50%	1.13	14.9
Ancient	11	45%	1.10	15.6
Anubis	3	67%	1.27	16.0
Dust2	3	67%	1.46	18.7
Nuke	2	0%	0.66	21.0
Vertigo	2	50%	1.54	15.0

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

33.6%Accuracy (enemy spotted)

35.0%Spray accuracy

74.4%Counter-strafing

8.0°Preaim

471msReaction time

39.2%T opening success

61.8%CT opening success

0.30Enemies flashed / flash

2.9%Flash assists

10.84HE damage / grenade

2.03Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2955 — below the 0.5 mark we flag
Grenade Lineups →
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 39.2216% — below the 40% mark we flag

Spend your practice time on Inferno

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	8–13	0.01	26%	28 Aug →
cache	7–13	-0.09	39%	28 Aug →
dust2	7–13	-0.02	22%	28 Aug →
nuke	13–7	0.18	24%	22 Aug →
anubis	15–15	-0.04	11%	22 Aug →
inferno	9–13	0.02	36%	22 Aug →
dust2	13–6	0.09	18%	22 Aug →
dust2	7–13	-0.04	13%	22 Aug →
mirage	13–16	0.02	10%	22 Aug →
inferno	9–13	-0.03	20%	22 Aug →
inferno	5–13	-0.04	24%	21 Aug →
ancient	6–13	0.02	25%	21 Aug →
nuke	12–12	0.01	13%	21 Aug →
anubis	12–12	0.02	17%	19 Aug →
nuke	12–12	0.03	15%	19 Aug →
cache	7–13	-0.06	20%	19 Aug →
vertigo	13–7	0.04	20%	19 Aug →
ancient	13–10	0.07	19%	19 Aug →
anubis	16–12	0.02	22%	19 Aug →
mirage	13–10	0.02	19%	18 Aug →
mirage	13–11	-0.02	8%	18 Aug →
cache	16–14	0.00	19%	18 Aug →
mirage	13–11	0.02	19%	18 Aug →
cache	13–0	0.07	20%	18 Aug →
mirage	13–3	0.02	33%	18 Aug →
cache	10–13	0.08	23%	17 Aug →
dust2	11–13	-0.05	21%	16 Aug →
nuke	13–10	-0.04	14%	16 Aug →
nuke	13–7	0.10	26%	16 Aug →
inferno	15–15	0.05	24%	16 Aug →
ancient	13–10	-0.00	20%	15 Aug →
mirage	13–10	0.04	29%	15 Aug →
inferno	13–5	0.07	26%	15 Aug →
ancient	11–13	0.05	24%	15 Aug →
dust2	13–8	-0.02	32%	15 Aug →
dust2	10–13	0.07	32%	15 Aug →
ancient	13–9	0.07	26%	15 Aug →
ancient	13–11	0.05	25%	14 Aug →
inferno	13–3	0.07	24%	14 Aug →
dust2	15–15	0.15	31%	14 Aug →
cache	13–5	0.07	27%	14 Aug →
office	13–9	0.02	22%	10 Aug →
nuke	13–11	-0.06	15%	10 Aug →
office	13–8	0.01	16%	10 Aug →
office	13–5	0.03	20%	10 Aug →
cache	8–13	0.00	21%	10 Aug →
nuke	5–13	-0.09	21%	10 Aug →
ancient	6–13	0.09	18%	10 Aug →
dust2	13–11	0.02	22%	10 Aug →
mirage	13–5	0.07	21%	9 Aug →
vertigo	13–2	0.08	20%	9 Aug →
ancient	13–2	0.03	37%	9 Aug →
anubis	3–13	0.05	30%	9 Aug →
inferno	2–13	-0.01	14%	6 Aug →
anubis	7–13	0.01	12%	6 Aug →
mirage	13–8	0.04	19%	6 Aug →
office	13–6	0.07	30%	4 Aug →
office	13–3	0.06	48%	4 Aug →
office	13–3	0.12	43%	4 Aug →
anubis	9–13	0.00	30%	3 Aug →
dust2	10–13	-0.03	16%	3 Aug →
vertigo	13–10	-0.02	26%	3 Aug →
vertigo	13–6	0.07	25%	3 Aug →
vertigo	13–2	0.08	25%	3 Aug →
ancient	14–16	-0.03	14%	2 Aug →
ancient	9–13	0.01	19%	2 Aug →
dust2	13–7	-0.01	25%	2 Aug →
nuke	14–16	-0.00	26%	2 Aug →
mirage	5–13	-0.07	25%	2 Aug →
dust2	3–13	-0.06	14%	31 Jul →
inferno	8–13	0.03	33%	31 Jul →
office	13–3	0.14	29%	24 Jul →
office	13–2	0.17	16%	24 Jul →
office	13–7	-0.01	21%	24 Jul →
office	13–2	0.11	29%	24 Jul →
dust2	5–13	0.05	22%	24 Jul →
mirage	11–13	0.02	21%	23 Jul →
mirage	11–13	-0.02	20%	23 Jul →
dust2	10–13	-0.01	15%	23 Jul →
ancient	9–13	-0.02	18%	23 Jul →
cache	13–11	0.03	18%	23 Jul →
ancient	11–13	0.00	9%	22 Jul →
mirage	13–10	0.00	21%	22 Jul →
anubis	13–3	0.10	24%	22 Jul →
dust2	13–5	0.11	28%	22 Jul →
cache	13–9	0.01	25%	22 Jul →
anubis	13–4	0.01	16%	22 Jul →
anubis	6–13	-0.04	16%	22 Jul →
vertigo	13–3	0.04	17%	22 Jul →
ancient	7–13	-0.04	13%	22 Jul →
nuke	13–7	0.01	16%	21 Jul →
nuke	11–13	0.02	23%	21 Jul →
ancient	0–13	-0.10	0%	21 Jul →
ancient	8–13	-0.03	15%	20 Jul →
mirage	12–12	0.05	17%	20 Jul →
mirage	6–13	-0.01	23%	20 Jul →
nuke	10–13	0.00	23%	20 Jul →
anubis	7–13	-0.01	25%	20 Jul →
fachwerk	13–7	-0.02	12%	20 Jul →
dust2	12–12	0.04	21%	20 Jul →

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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