Karzet1337 — CS2 Stats

CC76561198155787108[U:1:195521380]Steam profile ↗✓ No bans

4,524Tracked matches43%Win rate2020Tracked since

CSDB Rating6.1 SolidAggressive Rifler

FaceitLevel 10 · 2,286 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning59

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateLWLWLWWWLL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

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

Aim7.9

Aggression7.9

Utility6.0

Positioning5.9

Opening Duels3.3

Clutch3.4

Effective flashes

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 94% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 552ms 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

Aim7.9

Positioning5.9

Utility6.0

Mechanics6.9

Opening Duels3.3

Win Impact2.8

Composite 6.1/10 (Solid), 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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time546ms−68ms

first ⅓ avg 614ms → last ⅓ avg 546ms

Headshot accuracy20.6%−1.3%

first ⅓ avg 21.9% → last ⅓ avg 20.6%

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 13–9

13–1Biggest win — inferno

6Longest win streak

11–3In matches decided by ≤2 rounds

7Overtime games

Map breakdown

dust2Best map · 80% over 20ancientWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	20	16–4	80%	0.02
nuke	B	19	9–10	47%	0.01
mirage	B	13	7–6	54%	0.04
ancient	D	12	4–8	33%	-0.02
anubis	C	11	4–7	36%	-0.01
inferno	A	7	4–3	57%	0.02
train	D	6	2–4	33%	-0.00
cache	C	5	2–3	40%	0.01
overpass	—	3	3–0	100%	0.09
vertigo	—	2	2–0	100%	0.03
poseidon	—	1	1–0	100%	0.09
rooftop	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,677Matches

51%Win rate

1.11Avg K/D

83.3ADR

46%Headshot %

Clutches & streaks

37%1v1 clutch win

22%1v2 clutch win

22Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	581	48%	1.09	16.3
Dust2	532	52%	1.10	16.8
Anubis	339	51%	1.09	16.9
Ancient	335	49%	1.13	17.2
Nuke	315	55%	1.10	16.9
Inferno	109	47%	1.02	15.4
Train	100	55%	1.12	17.2
Vertigo	79	54%	1.07	17.1

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.

20.3%Headshot accuracy

34.5%Accuracy (enemy spotted)

37.3%Spray accuracy

81.3%Counter-strafing

8.5°Preaim

552msReaction time

38.6%T opening success

47.4%CT opening success

0.80Enemies flashed / flash

9.4%Flash assists

9.35HE damage / grenade

6.29Flashes / 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 38.6291% — 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.

33% win rate across 12 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
mirage	11–13	0.03	15%	30 Aug →
nuke	13–10	-0.02	17%	29 Aug →
cache	11–13	0.04	16%	28 Aug →
cache	13–9	0.01	14%	25 Aug →
cache	5–13	0.03	27%	23 Aug →
mirage	13–11	-0.01	22%	22 Aug →
dust2	13–10	0.03	27%	20 Aug →
vertigo	13–9	-0.01	22%	20 Aug →
anubis	10–13	0.00	18%	19 Aug →
cache	10–13	-0.00	15%	16 Aug →
nuke	11–13	-0.10	30%	13 Aug →
mirage	1–13	0.02	21%	28 Jul →
nuke	7–13	0.01	38%	28 Jul →
nuke	2–13	0.01	29%	27 Jul →
mirage	13–11	0.10	16%	27 Jul →
anubis	5–13	-0.04	21%	21 Jul →
anubis	4–13	-0.06	13%	17 Jul →
anubis	13–16	0.06	21%	17 Jul →
nuke	4–13	-0.03	16%	17 Jul →
dust2	13–5	0.05	13%	9 Jul →
mirage	9–13	-0.02	15%	2 Jul →
cache	13–9	-0.03	25%	30 Jun →
anubis	13–8	-0.00	13%	30 Jun →
nuke	16–13	0.04	21%	21 Jun →
ancient	8–13	-0.01	29%	10 Jun →
mirage	13–3	0.12	23%	10 Jun →
dust2	13–10	-0.03	22%	3 Jun →
nuke	9–13	0.05	13%	31 May →
dust2	13–10	0.08	24%	26 May →
ancient	9–13	-0.02	18%	18 May →
dust2	13–9	0.14	21%	13 May →
dust2	16–13	0.01	23%	11 May →
anubis	9–13	-0.02	24%	10 May →
dust2	13–4	-0.00	24%	10 May →
anubis	13–11	-0.03	20%	20 Apr →
vertigo	13–8	0.07	24%	8 Apr →
anubis	13–6	0.07	27%	8 Apr →
nuke	7–13	0.12	20%	6 Apr →
ancient	13–10	-0.05	18%	16 Mar →
nuke	2–13	-0.03	15%	15 Mar →
mirage	9–13	0.03	16%	15 Mar →
mirage	7–13	-0.00	21%	12 Mar →
mirage	13–11	-0.03	21%	9 Mar →
nuke	13–9	0.18	22%	7 Mar →
mirage	10–13	0.14	34%	7 Mar →
poseidon	9–5	0.09	25%	5 Mar →
dust2	13–5	0.01	23%	4 Mar →
overpass	13–9	0.12	22%	2 Mar →
nuke	13–9	0.05	14%	28 Feb →
dust2	13–9	-0.03	16%	27 Feb →
dust2	13–4	0.07	30%	21 Feb →
inferno	10–13	-0.05	10%	15 Feb →
anubis	9–13	-0.09	15%	15 Feb →
inferno	13–1	0.17	38%	13 Feb →
anubis	6–13	-0.02	30%	13 Feb →
ancient	13–10	0.01	21%	7 Feb →
ancient	8–13	0.04	27%	4 Feb →
dust2	16–13	-0.01	19%	27 Jan →
inferno	16–13	0.07	27%	24 Jan →
nuke	4–13	-0.06	11%	18 Jan →
nuke	9–5	-0.06	17%	16 Jan →
nuke	13–11	-0.00	16%	16 Jan →
train	6–13	0.04	21%	16 Jan →
anubis	13–11	-0.03	8%	16 Jan →
rooftop	9–5	-0.03	17%	15 Jan →
train	9–13	-0.08	11%	13 Jan →
ancient	2–13	0.00	23%	12 Jan →
dust2	8–12	0.01	30%	5 Jan →
inferno	1–9	-0.19	18%	5 Jan →
train	15–15	0.05	22%	3 Jan →
dust2	7–13	-0.02	18%	3 Jan →
ancient	2–13	-0.12	14%	27 Dec →
nuke	10–13	0.00	25%	26 Dec →
dust2	13–7	-0.03	22%	26 Dec →
nuke	13–8	-0.03	29%	26 Dec →
dust2	6–1	0.04	25%	26 Dec →
inferno	9–5	0.15	13%	23 Dec →
mirage	13–7	0.04	14%	3 Dec →
ancient	10–13	-0.06	19%	30 Nov →
mirage	13–7	-0.00	12%	24 Nov →
ancient	8–13	0.05	28%	6 Nov →
overpass	13–11	0.06	27%	6 Nov →
train	6–13	-0.04	4%	6 Nov →
dust2	4–13	-0.03	21%	4 Nov →
overpass	13–11	0.08	18%	3 Nov →
inferno	12–12	0.02	24%	1 Nov →
ancient	13–11	-0.01	24%	31 Oct →
dust2	13–3	0.09	32%	31 Oct →
train	13–11	0.02	22%	31 Oct →
nuke	5–13	-0.04	23%	30 Oct →
nuke	13–8	-0.04	20%	19 Oct →
ancient	16–12	0.04	30%	18 Oct →
ancient	3–13	-0.11	18%	15 Oct →
train	13–10	-0.02	17%	11 Oct →
nuke	13–10	0.06	26%	9 Oct →
mirage	13–4	0.06	43%	2 Oct →
dust2	13–2	0.06	30%	28 Sept →
dust2	13–8	0.04	26%	22 Sept →
dust2	1–13	-0.08	19%	17 Sept →
inferno	13–11	-0.03	10%	17 Sept →