lechon kawali — CS2 Stats

RU76561198928955124[U:1:968689396]Steam profile ↗✓ No bans

1,990Tracked matches53%Win rate2023Tracked since

CSDB Rating5.4 DevelopingHybrid Rifler

Premier CS Rating14,892Blue band · top ~29% of ranked players (population est.)

CSDB Leaderboard#20925 of 33377 tracked

FaceitLevel 4 · 960 ELOTop 81.0% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning47

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateWLLWWWWLLL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.1

Aggression5.1

Utility5.4

Positioning4.7

Opening Duels0.3

Clutch4.0

Strong 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 NiKo 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 40% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 591ms 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

Aim7.1

Positioning4.7

Utility5.4

Mechanics6.9

Opening Duels1.2

Win Impact6.1

Composite 5.4/10 (Developing), 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 rating0.02−0.03

first ⅓ avg 0.05 → last ⅓ avg 0.02

Reaction time607ms−35ms

first ⅓ avg 642ms → last ⅓ avg 607ms

Headshot accuracy16.3%−1.2%

first ⅓ avg 17.6% → last ⅓ avg 16.3%

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 — nuke 13–1

13–0Biggest win — mirage

4Longest win streak

5–7In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 78% over 9infernoWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	27	17–10	63%	0.04
mirage	C	20	7–13	35%	0.04
nuke	C	15	6–9	40%	0.04
ancient	S	10	7–3	70%	0.02
cache	S	9	7–2	78%	0.04
inferno	D	8	1–7	13%	0.03
anubis	S	7	5–2	71%	0.02
overpass	—	2	2–0	100%	0.12
vertigo	—	1	1–0	100%	0.07
train	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

248Matches

48%Win rate

1.12Avg K/D

71.0ADR

53%Headshot %

Clutches & streaks

40%1v1 clutch win

21%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	51	39%	1.44	14.6
Ancient	42	48%	1.06	14.4
Dust2	41	61%	0.97	12.8
Anubis	33	52%	1.04	13.7
Nuke	31	55%	1.19	14.0
Overpass	23	52%	1.00	14.8
Inferno	18	28%	1.02	15.8
Vertigo	9	33%	0.91	11.4

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.

16.6%Headshot accuracy

37.0%Accuracy (enemy spotted)

37.1%Spray accuracy

81.0%Counter-strafing

10.3°Preaim

591msReaction time

22.9%T opening success

39.8%CT opening success

0.49Enemies flashed / flash

7.5%Flash assists

4.01HE damage / grenade

10.79Flashes / 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 0.4879 — 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 22.947% — 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.

13% win rate across 8 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
nuke	11–0	0.10	7%	28 Aug →
nuke	6–13	-0.04	10%	28 Aug →
nuke	11–13	-0.04	23%	27 Aug →
nuke	13–9	0.06	20%	27 Aug →
dust2	13–11	-0.05	11%	27 Aug →
ancient	19–16	-0.04	7%	21 Aug →
dust2	13–2	-0.00	5%	21 Aug →
ancient	7–13	0.05	10%	21 Aug →
dust2	5–13	-0.05	19%	18 Aug →
inferno	10–13	0.08	25%	18 Aug →
mirage	13–0	0.16	26%	18 Aug →
mirage	9–13	0.03	12%	17 Aug →
dust2	13–2	0.11	29%	17 Aug →
nuke	13–7	0.02	15%	17 Aug →
dust2	9–13	-0.02	22%	14 Aug →
dust2	13–10	-0.02	15%	12 Aug →
nuke	5–13	-0.00	21%	9 Aug →
dust2	11–13	0.01	19%	8 Aug →
ancient	8–13	-0.04	18%	8 Aug →
dust2	13–2	0.06	15%	8 Aug →
inferno	8–13	0.01	14%	8 Aug →
dust2	13–2	0.05	15%	7 Aug →
cache	13–7	0.05	23%	7 Aug →
ancient	19–17	0.05	20%	6 Aug →
dust2	13–10	0.01	11%	6 Aug →
anubis	8–13	-0.06	14%	6 Aug →
mirage	5–13	-0.04	21%	24 Jul →
dust2	13–11	0.03	15%	24 Jul →
dust2	13–0	0.03	26%	24 Jul →
dust2	5–13	0.01	19%	23 Jul →
cache	13–4	0.04	12%	23 Jul →
ancient	13–9	0.11	16%	23 Jul →
nuke	4–13	0.05	7%	23 Jul →
inferno	8–13	-0.02	16%	14 Jul →
mirage	16–14	-0.03	23%	14 Jul →
cache	5–13	-0.00	15%	14 Jul →
dust2	3–0	0.02	0%	14 Jul →
ancient	13–8	-0.03	11%	14 Jul →
dust2	13–10	0.02	10%	14 Jul →
anubis	13–6	0.09	14%	13 Jul →
nuke	7–13	0.10	19%	13 Jul →
inferno	11–13	0.09	27%	13 Jul →
mirage	12–12	0.12	19%	13 Jul →
anubis	13–10	0.08	20%	12 Jul →
mirage	13–9	0.01	17%	12 Jul →
dust2	6–13	0.07	16%	12 Jul →
anubis	13–5	0.04	16%	12 Jul →
dust2	10–13	0.05	20%	12 Jul →
mirage	13–3	0.05	6%	12 Jul →
mirage	13–16	0.01	18%	11 Jul →
ancient	13–1	0.02	19%	11 Jul →
inferno	13–7	0.05	22%	11 Jul →
nuke	13–1	0.19	13%	11 Jul →
mirage	7–13	0.01	24%	11 Jul →
overpass	13–3	0.14	13%	6 Jul →
mirage	10–1	-0.00	15%	6 Jul →
dust2	6–13	0.16	14%	6 Jul →
mirage	3–13	0.02	26%	6 Jul →
anubis	3–13	-0.03	18%	6 Jul →
dust2	12–16	0.00	19%	6 Jul →
anubis	13–8	0.04	9%	4 Jul →
dust2	5–13	-0.06	28%	4 Jul →
ancient	16–13	-0.02	12%	4 Jul →
mirage	13–7	0.04	10%	4 Jul →
nuke	10–13	0.07	17%	4 Jul →
overpass	16–14	0.10	16%	3 Jul →
dust2	13–4	0.14	22%	3 Jul →
ancient	8–2	0.03	18%	3 Jul →
cache	13–5	0.08	16%	3 Jul →
ancient	10–13	0.09	10%	3 Jul →
nuke	6–13	-0.02	17%	3 Jul →
mirage	6–13	0.03	8%	3 Jul →
dust2	13–6	-0.01	6%	3 Jul →
dust2	11–13	0.09	19%	3 Jul →
mirage	0–9	0.01	18%	3 Jul →
cache	13–10	-0.01	8%	2 Jul →
dust2	13–8	0.15	25%	2 Jul →
cache	13–8	0.09	17%	2 Jul →
nuke	13–8	0.01	16%	30 Jun →
mirage	7–13	0.05	22%	30 Jun →
cache	13–8	0.14	21%	30 Jun →
cache	5–13	-0.10	39%	30 Jun →
anubis	13–4	0.02	14%	30 Jun →
mirage	11–13	0.06	24%	30 Jun →
dust2	8–2	0.08	11%	30 Jun →
nuke	2–13	-0.04	15%	30 Jun →
inferno	11–13	-0.01	20%	30 Jun →
inferno	6–13	0.11	28%	29 Jun →
vertigo	13–1	0.07	15%	29 Jun →
train	13–1	0.04	19%	29 Jun →
cache	13–7	0.06	14%	29 Jun →
dust2	9–2	0.07	20%	29 Jun →
mirage	7–13	0.01	16%	29 Jun →
nuke	13–10	-0.01	24%	29 Jun →
dust2	13–6	0.12	19%	29 Jun →
mirage	9–13	0.07	20%	24 Jun →
nuke	11–13	0.19	18%	24 Jun →
inferno	9–13	-0.04	16%	24 Jun →
mirage	6–13	0.05	11%	24 Jun →
mirage	13–7	0.11	16%	24 Jun →