Frazk — CS2 Stats

76561198152405046[U:1:192139318]

1,054Tracked matches55%Win rate2022Tracked since

1,943Hours in CS4Hrs last 2 wks

CSDB Rating5.8 SolidAggressive Rifler

WingmanMaster Guardian II

Ladder ranks via Leetify

Performance scores

Aim75

Positioning54

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateLLLWLWWWWL

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

Player DNA

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

Aim7.5

Aggression6.6

Utility5.4

Positioning5.4

Opening Duels2.3

Clutch5.2

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 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Reaction time. 610ms 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

Aim7.5

Positioning5.4

Utility5.4

Mechanics7.3

Opening Duels2.3

Win Impact6.7

Composite 5.8/10 (Solid), 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 rating0.01+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time610ms−14ms

first ⅓ avg 625ms → last ⅓ avg 610ms

Headshot accuracy22.6%+2.6%

first ⅓ avg 20.0% → last ⅓ avg 22.6%

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 — inferno 9–3

13–1Biggest win — mirage

5Longest win streak

L3Current streak

9–8In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 70% over 10infernoWeakest map · 46% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	36	17–19	47%	0.00
dust2	B	27	13–14	48%	0.02
inferno	B	13	6–7	46%	-0.01
ancient	S	10	7–3	70%	0.00
cache	A	8	5–3	63%	0.01
anubis	—	4	3–1	75%	0.02
nuke	—	1	0–1	0%	-0.08
train	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,046Lifetime kills

0.94K/D

2,577Matches

41.9%Match win rate

45.5%Headshot %

12.0%Shot accuracy

5,565MVPs

1,771Hours (in match)

1,792Bombs planted

589Bombs defused

Most-used weapons

AK-4715,976

AWP7,923

M4A4 / M4A1-S7,705

P2000 / USP-S3,721

Glock-182,399

Desert Eagle2,230

Knife1,317

MAC-101,212

MP91,175

P250888

Lifetime map wins

10,588dust2

1,883inferno

513nuke

395train

374vertigo

148cbble

122lake

30office

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

Faceit stats

Combat

370Matches

51%Win rate

1.11Avg K/D

79.0ADR

47%Headshot %

Clutches & streaks

46%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	117	56%	1.13	16.4
Dust2	75	51%	1.28	16.9
Ancient	46	52%	1.09	17.4
Inferno	43	49%	1.16	17.5
Anubis	25	60%	1.02	14.8
Nuke	16	31%	1.07	15.3
Train	11	36%	1.17	17.6
Cache	8	50%	0.98	13.0

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.

21.9%Headshot accuracy

35.7%Accuracy (enemy spotted)

35.6%Spray accuracy

83.0%Counter-strafing

9.9°Preaim

610msReaction time

39.6%T opening success

39.0%CT opening success

0.66Enemies flashed / flash

12.0%Flash assists

10.26HE damage / grenade

6.14Flashes / 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 39.6377% — 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.

46% win rate across 13 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
anubis	2–13	-0.03	13%	25 Aug →
dust2	10–13	0.06	28%	20 Aug →
dust2	9–13	-0.05	32%	11 Aug →
mirage	13–11	-0.02	11%	8 Aug →
dust2	5–13	0.02	16%	8 Aug →
mirage	13–11	0.07	23%	8 Aug →
cache	13–7	0.03	18%	6 Aug →
mirage	16–13	-0.03	21%	4 Aug →
mirage	13–8	0.02	24%	30 Jul →
inferno	6–13	-0.01	17%	29 Jul →
cache	13–11	-0.02	19%	29 Jul →
ancient	13–10	0.01	28%	28 Jul →
dust2	12–16	-0.02	14%	23 Jul →
mirage	13–3	-0.02	21%	23 Jul →
dust2	13–9	0.01	33%	23 Jul →
dust2	20–22	-0.01	15%	23 Jul →
mirage	10–13	-0.04	29%	23 Jul →
mirage	8–13	0.09	24%	21 Jul →
mirage	9–13	-0.02	23%	19 Jul →
cache	13–8	0.01	42%	18 Jul →
anubis	13–3	0.04	19%	18 Jul →
dust2	13–7	0.11	31%	18 Jul →
cache	10–13	0.06	33%	12 Jul →
cache	3–13	-0.03	13%	11 Jul →
dust2	13–10	0.04	21%	11 Jul →
mirage	10–13	-0.04	18%	10 Jul →
dust2	12–12	0.02	19%	10 Jul →
inferno	13–3	0.01	11%	10 Jul →
mirage	13–3	0.10	19%	10 Jul →
mirage	13–10	0.04	17%	30 Jun →
mirage	11–13	-0.05	20%	29 Jun →
dust2	13–6	0.04	44%	28 Jun →
inferno	13–10	0.01	33%	27 Jun →
mirage	4–13	-0.06	15%	26 Jun →
mirage	8–13	-0.06	13%	24 Jun →
mirage	13–9	0.06	23%	23 Jun →
cache	9–13	-0.04	22%	13 Jun →
inferno	7–13	0.02	14%	19 May →
ancient	13–7	-0.03	12%	19 May →
cache	13–5	0.02	28%	13 May →
dust2	4–13	-0.07	14%	13 May →
cache	13–5	0.00	19%	30 Apr →
mirage	16–19	-0.03	15%	28 Apr →
mirage	11–13	-0.02	12%	26 Apr →
dust2	13–11	0.03	24%	25 Apr →
dust2	14–16	0.01	13%	18 Apr →
mirage	13–4	-0.00	8%	18 Apr →
mirage	11–13	0.08	22%	17 Apr →
ancient	10–13	-0.04	16%	16 Apr →
mirage	10–13	0.03	18%	16 Apr →
dust2	15–15	0.05	15%	15 Apr →
mirage	13–1	0.07	19%	15 Apr →
inferno	13–11	-0.05	29%	14 Apr →
mirage	14–16	-0.01	25%	14 Apr →
inferno	13–3	0.00	17%	13 Apr →
dust2	8–13	-0.03	22%	13 Apr →
mirage	13–11	0.02	7%	12 Apr →
dust2	11–13	0.03	18%	12 Apr →
mirage	7–13	-0.05	15%	12 Apr →
mirage	13–8	-0.01	14%	10 Apr →
inferno	9–13	0.06	22%	10 Apr →
dust2	9–13	-0.01	16%	10 Apr →
dust2	13–7	-0.04	3%	7 Apr →
inferno	8–13	-0.06	13%	7 Apr →
mirage	16–12	-0.03	13%	3 Apr →
ancient	9–13	0.01	13%	3 Apr →
nuke	0–13	-0.08	6%	1 Apr →
anubis	13–3	0.07	18%	1 Apr →
dust2	9–13	0.02	21%	1 Apr →
ancient	16–13	0.02	10%	1 Apr →
dust2	13–3	0.06	30%	29 Mar →
mirage	2–13	0.03	21%	29 Mar →
ancient	16–14	0.05	18%	23 Mar →
inferno	9–3	0.18	16%	20 Mar →
inferno	1–9	-0.21	5%	19 Mar →
inferno	2–9	-0.14	27%	19 Mar →
anubis	13–10	0.02	23%	6 Feb →
mirage	13–7	0.01	16%	2 Feb →
mirage	13–11	0.04	33%	2 Feb →
ancient	7–13	-0.02	19%	31 Jan →
inferno	13–6	0.04	29%	31 Jan →
dust2	13–10	0.05	23%	31 Jan →
mirage	7–13	-0.06	31%	29 Jan →
mirage	6–12	-0.05	14%	28 Jan →
dust2	13–3	0.08	29%	23 Jan →
mirage	13–7	-0.00	16%	23 Jan →
mirage	13–7	-0.00	10%	22 Jan →
dust2	13–10	-0.00	9%	22 Jan →
ancient	13–7	-0.01	29%	18 Jan →
dust2	6–13	-0.07	16%	16 Nov →
ancient	13–11	-0.01	14%	16 Nov →
dust2	13–9	0.03	26%	31 Oct →
train	16–13	0.01	22%	31 Oct →
inferno	7–13	-0.00	15%	27 Oct →
ancient	13–9	0.05	21%	26 Oct →
mirage	13–16	-0.01	9%	26 Oct →
mirage	11–13	0.01	34%	26 Oct →
dust2	13–4	0.00	20%	18 Oct →
dust2	13–5	0.11	18%	13 Sept →
mirage	8–13	-0.02	20%	13 Sept →