kick2 — CS2 Stats

76561198060984950[U:1:100719222]✓ No bans

1,356Tracked matches43%Win rate2020Tracked since

2,225Hours in CS

CSDB Rating5.2 Developing

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim58

Positioning58

Utility66

0–100 skill scores via Leetify.

Recent form

HOT47–48–5Last 10047%Win rateWWLWLWWLWW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating

Player DNA

Aim5.8

Aggression8.0

Utility6.6

Positioning5.8

Opening Duels2.6

Clutch4.0

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 88% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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

Reaction time. 584ms 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

Aim5.8

Positioning5.8

Utility6.6

Mechanics5.6

Opening Duels2.6

Win Impact2.6

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time593ms−17ms

first ⅓ avg 610ms → last ⅓ avg 593ms

Headshot accuracy17.4%−3.6%

first ⅓ avg 21.1% → last ⅓ avg 17.4%

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

0.16Best rating — shelter 13–5

13–2Biggest win — train

8Longest win streak

W2Current streak

9–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 67% over 9dust2Weakest map · 24% over 17

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	28	11–17	39%	0.02
dust2	D	17	4–13	24%	-0.01
overpass	A	16	10–6	63%	0.01
inferno	S	9	6–3	67%	0.03
train	B	8	4–4	50%	0.01
anubis	B	6	3–3	50%	0.01
nuke	—	4	3–1	75%	0.02
ancient	—	4	2–2	50%	-0.01
cache	—	2	1–1	50%	0.05
debris	—	1	1–0	100%	0.04
fachwerk	—	1	0–1	0%	0.03
shelter	—	1	1–0	100%	0.16
golden	—	1	0–1	0%	0.05
palacio	—	1	1–0	100%	0.06
italy	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

105,968Lifetime kills

1.04K/D

6,148Matches

50.6%Match win rate · Top 25% of tracked players

39.3%Headshot %

12.6%Shot accuracy · Top 50% of tracked players

18,132MVPs

2,225Hours (in match)

5,133Bombs planted

1,672Bombs defused

Most-used weapons

AK-4734,143

M4A4 / M4A1-S16,489

AWP7,674

P2000 / USP-S6,474

Glock-184,357

Desert Eagle3,339

Knife2,820

Five-SeveN2,666

P2502,659

Tec-92,377

Lifetime map wins

7,608dust2

6,862inferno

1,939train

1,811vertigo

1,481nuke

1,072office

557cbble

287lake

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

Faceit stats

Combat

901Matches

56%Win rate

1.09Avg K/D

76.1ADR

45%Headshot %

Clutches & streaks

40%1v1 clutch win

25%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	269	57%	1.05	15.1
Dust2	101	53%	0.96	15.0
Inferno	65	60%	1.05	16.1
Anubis	58	50%	1.03	15.4
Overpass	39	54%	0.98	13.4
Ancient	28	54%	1.04	17.2
Train	20	50%	1.01	15.8
Cache	16	56%	0.95	15.4

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.

17.5%Headshot accuracy

29.8%Accuracy (enemy spotted)

34.8%Spray accuracy

75.2%Counter-strafing

9.5°Preaim

584msReaction time

45.4%T opening success

35.8%CT opening success

0.69Enemies flashed / flash

16.6%Flash assists

8.18HE damage / grenade

6.71Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 35.7765% — 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.

24% win rate across 17 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
debris	9–6	0.04	16%	9 Aug →
nuke	13–6	0.02	18%	8 Aug →
fachwerk	6–13	0.03	16%	7 Aug →
shelter	13–5	0.16	28%	7 Aug →
mirage	5–13	-0.04	22%	2 Aug →
cache	13–11	-0.03	12%	27 Jul →
inferno	13–9	0.04	14%	24 Jul →
dust2	7–13	0.02	29%	5 Jul →
mirage	13–11	0.07	14%	5 Jul →
overpass	13–7	0.02	17%	28 Jun →
mirage	1–13	-0.01	9%	25 Jun →
train	13–9	0.09	17%	19 Jun →
cache	12–12	0.14	23%	19 Jun →
dust2	19–16	-0.02	14%	12 Jun →
anubis	11–13	-0.03	5%	9 Jun →
overpass	2–13	-0.04	7%	28 May →
dust2	11–13	0.08	29%	17 May →
dust2	10–13	-0.03	17%	1 May →
anubis	14–16	-0.02	10%	26 Apr →
train	6–13	-0.04	27%	17 Apr →
mirage	10–13	-0.02	14%	5 Apr →
anubis	13–7	0.12	22%	31 Mar →
mirage	15–15	-0.01	11%	22 Mar →
dust2	13–7	-0.01	20%	22 Mar →
anubis	5–13	0.01	28%	22 Mar →
dust2	7–13	0.00	21%	21 Mar →
dust2	6–13	0.04	16%	14 Mar →
mirage	6–13	-0.00	23%	14 Mar →
mirage	13–6	0.03	17%	22 Feb →
anubis	13–11	-0.00	19%	21 Feb →
dust2	7–13	-0.03	17%	11 Feb →
anubis	13–4	-0.03	15%	11 Feb →
dust2	7–13	-0.03	10%	8 Feb →
mirage	13–6	0.01	10%	8 Feb →
overpass	3–9	-0.02	9%	7 Feb →
overpass	13–11	-0.03	18%	7 Feb →
inferno	13–8	0.09	24%	7 Feb →
overpass	13–4	0.06	24%	2 Feb →
mirage	15–15	0.05	17%	1 Feb →
overpass	8–8	0.07	10%	31 Jan →
mirage	14–16	0.01	12%	26 Jan →
mirage	10–13	0.07	17%	26 Jan →
overpass	13–11	0.06	18%	25 Jan →
inferno	13–7	-0.04	24%	25 Jan →
mirage	5–13	0.04	17%	25 Jan →
inferno	13–16	0.08	15%	25 Jan →
mirage	13–6	0.07	12%	18 Jan →
mirage	16–13	0.04	17%	6 Jan →
overpass	4–13	-0.04	16%	5 Jan →
inferno	6–13	-0.03	18%	4 Jan →
mirage	7–13	0.03	12%	30 Dec →
dust2	9–13	0.05	17%	29 Dec →
mirage	13–8	0.01	21%	29 Dec →
mirage	5–13	-0.01	22%	29 Dec →
train	13–2	0.10	16%	24 Dec →
mirage	11–13	0.05	22%	22 Dec →
mirage	13–2	0.07	23%	22 Dec →
overpass	13–4	0.02	6%	21 Dec →
dust2	13–11	-0.01	7%	21 Dec →
mirage	13–8	0.09	12%	21 Dec →
overpass	13–4	-0.06	29%	21 Dec →
nuke	13–5	-0.02	15%	21 Dec →
dust2	13–10	-0.05	11%	19 Dec →
train	13–5	0.11	12%	12 Dec →
inferno	11–13	-0.02	16%	10 Dec →
ancient	5–13	0.03	17%	30 Nov →
mirage	5–13	0.00	16%	29 Nov →
overpass	16–13	-0.01	19%	28 Nov →
mirage	5–13	-0.04	12%	27 Nov →
mirage	11–13	-0.01	11%	23 Nov →
golden	6–13	0.05	16%	22 Nov →
palacio	13–8	0.06	25%	22 Nov →
mirage	7–13	0.09	17%	22 Nov →
ancient	5–13	-0.08	35%	22 Nov →
ancient	13–4	-0.00	15%	22 Nov →
nuke	15–15	0.01	19%	21 Nov →
train	8–13	-0.04	30%	16 Nov →
ancient	16–14	0.02	20%	12 Nov →
dust2	5–13	-0.01	32%	12 Nov →
overpass	13–9	0.04	26%	10 Nov →
inferno	9–7	0.10	30%	10 Nov →
dust2	11–13	0.03	14%	26 Oct →
train	13–9	-0.07	30%	22 Oct →
overpass	13–9	0.04	11%	12 Oct →
italy	6–13	0.02	26%	12 Oct →
dust2	2–13	-0.02	10%	25 Sept →
mirage	5–13	-0.05	20%	25 Sept →
train	9–13	-0.05	17%	17 Sept →
mirage	13–10	-0.02	21%	8 Sept →
inferno	19–17	0.04	21%	5 Sept →
inferno	13–4	0.03	34%	28 Aug →
nuke	13–5	0.08	25%	23 Aug →
overpass	13–2	0.08	7%	23 Aug →
train	8–13	0.02	46%	16 Aug →
overpass	8–13	0.02	39%	14 Aug →
mirage	13–6	0.07	12%	12 Aug →
overpass	6–13	-0.04	17%	6 Aug →
dust2	3–13	-0.12	6%	29 Jul →
mirage	13–10	0.02	17%	29 Jul →
dust2	10–13	-0.08	14%	23 Jul →