AWP killed Kennedy — CS2 Stats

GB76561198136751398[U:1:176485670]Steam profile ↗✓ No bans

2,107Tracked matches45%Win rate2023Tracked since

CSDB Rating4.1 Developing

Premier CS Rating14,206Blue band · top ~32.6% of ranked players (population est.)

CSDB Leaderboard#18742 of 28777 tracked

FaceitLevel 4 · 1,049 ELOTop 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim58

Positioning47

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateWLLWLWLLLW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim5.8

Aggression6.6

Utility4.1

Positioning4.7

Opening Duels2.1

Clutch3.8

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 Twistzz 83% playstyle similarity

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

Where you differ: lower utility contribution; 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 51% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.8

Positioning4.7

Utility4.1

Mechanics2.5

Opening Duels2.7

Win Impact3.3

Composite 4.1/10 (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 rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time629ms−29ms

first ⅓ avg 658ms → last ⅓ avg 629ms

Headshot accuracy16.5%+0.2%

first ⅓ avg 16.3% → last ⅓ avg 16.5%

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

0.12Best rating — ancient 7–13

13–1Biggest win — cache

6Longest win streak

6–8In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 55% over 22ancientWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	22	10–12	45%	-0.01
dust2	A	22	12–10	55%	0.01
cache	B	15	7–8	47%	-0.00
mirage	B	13	6–7	46%	0.03
ancient	C	11	4–7	36%	0.01
inferno	C	9	4–5	44%	-0.01
anubis	C	7	3–4	43%	0.02
train	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

86Matches

51%Win rate

0.94Avg K/D

73.2ADR

35%Headshot %

Clutches & streaks

39%1v1 clutch win

14%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	28	46%	1.07	17.3
Dust2	21	43%	0.87	13.1
Inferno	16	56%	1.02	14.9
Ancient	10	60%	0.78	11.8
Nuke	6	83%	0.98	13.2
Overpass	4	50%	0.60	8.8
Train	1	0%	0.88	23.0

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.

15.9%Headshot accuracy

40.4%Accuracy (enemy spotted)

38.6%Spray accuracy

61.2%Counter-strafing

10.3°Preaim

620msReaction time

25.4%T opening success

51.5%CT opening success

0.50Enemies flashed / flash

3.7%Flash assists

5.96HE damage / grenade

4.72Flashes / 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 0.4971 — 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 25.4156% — 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.

36% win rate across 11 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
inferno	13–10	0.04	23%	28 Aug →
anubis	2–13	-0.03	26%	28 Aug →
ancient	5–13	0.02	11%	27 Aug →
nuke	13–8	-0.01	12%	27 Aug →
inferno	7–13	-0.01	21%	25 Aug →
cache	13–1	0.09	31%	5 Aug →
ancient	9–13	-0.07	10%	5 Aug →
nuke	7–13	-0.09	18%	5 Aug →
nuke	6–13	-0.03	12%	5 Aug →
inferno	13–11	0.01	21%	4 Aug →
ancient	4–13	-0.07	9%	4 Aug →
nuke	11–13	-0.06	20%	4 Aug →
cache	13–3	0.02	33%	2 Aug →
nuke	9–13	0.01	12%	2 Aug →
ancient	7–13	0.12	13%	2 Aug →
mirage	13–7	0.03	12%	2 Aug →
mirage	14–16	0.00	9%	1 Aug →
cache	13–7	-0.05	5%	31 Jul →
inferno	13–10	-0.04	25%	31 Jul →
cache	6–13	-0.09	15%	31 Jul →
cache	16–14	-0.01	14%	31 Jul →
mirage	13–9	0.05	29%	31 Jul →
cache	11–13	-0.03	2%	30 Jul →
dust2	13–9	-0.01	19%	30 Jul →
dust2	15–15	0.07	19%	30 Jul →
ancient	13–5	0.05	13%	30 Jul →
dust2	9–13	0.06	11%	29 Jul →
dust2	1–13	-0.05	16%	29 Jul →
dust2	3–13	-0.05	18%	28 Jul →
ancient	13–6	-0.04	7%	28 Jul →
mirage	10–13	0.09	16%	28 Jul →
nuke	13–7	0.03	23%	27 Jul →
anubis	8–13	-0.00	19%	27 Jul →
nuke	5–13	-0.01	20%	27 Jul →
dust2	11–13	0.03	12%	27 Jul →
cache	8–13	0.02	15%	27 Jul →
dust2	13–8	0.04	75%	27 Jul →
ancient	15–15	0.06	15%	26 Jul →
inferno	10–13	-0.00	16%	26 Jul →
anubis	14–16	-0.02	10%	26 Jul →
anubis	13–8	0.09	10%	26 Jul →
dust2	7–13	0.00	12%	26 Jul →
anubis	13–4	0.04	9%	26 Jul →
cache	7–13	-0.05	22%	26 Jul →
mirage	7–13	-0.05	16%	26 Jul →
nuke	13–7	0.10	13%	26 Jul →
cache	13–2	0.01	50%	25 Jul →
nuke	13–9	0.02	11%	25 Jul →
ancient	10–13	0.00	8%	25 Jul →
nuke	13–8	0.03	8%	25 Jul →
dust2	13–9	-0.00	22%	25 Jul →
dust2	6–13	0.06	25%	25 Jul →
cache	11–13	-0.02	10%	25 Jul →
anubis	10–13	0.04	3%	25 Jul →
cache	13–9	0.04	21%	25 Jul →
dust2	4–1	-0.02	25%	25 Jul →
inferno	8–13	-0.06	13%	25 Jul →
nuke	0–13	-0.07	0%	25 Jul →
dust2	13–5	-0.01	13%	25 Jul →
mirage	6–13	0.01	13%	24 Jul →
dust2	13–2	-0.01	17%	24 Jul →
nuke	13–6	0.01	13%	24 Jul →
nuke	13–11	-0.07	6%	23 Jul →
nuke	15–15	-0.01	24%	23 Jul →
anubis	13–3	0.04	100%	22 Jul →
cache	11–13	-0.03	20%	21 Jul →
nuke	15–15	-0.02	15%	21 Jul →
ancient	12–16	-0.01	19%	20 Jul →
dust2	13–5	-0.00	0%	20 Jul →
dust2	11–13	-0.01	18%	19 Jul →
nuke	13–8	0.04	18%	19 Jul →
mirage	9–13	-0.05	16%	19 Jul →
cache	6–13	0.07	16%	19 Jul →
ancient	13–8	0.02	7%	18 Jul →
inferno	15–15	0.04	9%	18 Jul →
ancient	13–9	-0.01	7%	18 Jul →
nuke	5–13	0.01	13%	17 Jul →
nuke	16–14	-0.03	14%	16 Jul →
nuke	13–16	0.02	22%	16 Jul →
train	13–9	-0.04	12%	15 Jul →
dust2	8–13	-0.02	12%	15 Jul →
mirage	5–13	0.03	12%	15 Jul →
cache	13–11	0.03	14%	15 Jul →
inferno	8–13	-0.08	22%	14 Jul →
dust2	13–4	-0.01	15%	14 Jul →
mirage	13–6	-0.02	19%	14 Jul →
dust2	13–8	0.01	15%	14 Jul →
mirage	13–7	0.08	12%	13 Jul →
dust2	13–6	0.12	23%	13 Jul →
nuke	9–13	-0.08	11%	13 Jul →
nuke	13–8	-0.02	25%	12 Jul →
mirage	13–9	0.11	14%	12 Jul →
dust2	13–11	-0.01	15%	12 Jul →
mirage	13–3	0.02	28%	12 Jul →
dust2	13–4	0.07	20%	12 Jul →
inferno	13–5	-0.01	10%	11 Jul →
cache	10–13	-0.05	25%	11 Jul →
mirage	12–16	0.07	34%	11 Jul →
dust2	7–13	-0.05	28%	11 Jul →
nuke	10–13	0.04	16%	10 Jul →