200kg Frank. — CS2 Stats

76561198822161968[U:1:861896240]Steam profile ↗✓ No bans

307Tracked matches52%Win rate2020Tracked since

1,714Hours in CS13Hrs last 2 wks

CSDB Rating5.7 SolidHybrid Rifler

Premier CS Rating18,262Purple band · top ~15.4% of ranked players (population est.)

CSDB Leaderboard#24453 of 51358 tracked

FaceitLevel 6 · 1,037 ELOTop 54.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=1,571), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 6 median	Level 7 median	vs Level 7
Headshot rate	42.0%	44.7%	46.1%	4.0% short
Shot accuracy	19.3%	11.9%	12.6%	above
Kill/death ratio	1.24	1.04	1.05	above
Match win rate	49.6%	45.2%	45.7%	above

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim82

Positioning50

Utility26

0–100 skill scores via Leetify.

Recent form

STEADY41–53–6Last 10041%Win rateTLWLLLWLWW

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

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

Aim8.2

Aggression4.7

Utility2.6

Positioning5.0

Opening Duels3.1

Clutch2.6

Strong CT-side openerLimited utility dependence

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 85% playstyle similarity

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

Where you differ: lower utility contribution.

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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 54% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 575ms 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

Aim8.2

Positioning5.0

Utility2.6

Mechanics6.5

Opening Duels3.1

Win Impact5.6

Composite 5.7/10 (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 rating0.01−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time570ms−46ms

first ⅓ avg 616ms → last ⅓ avg 570ms

Headshot accuracy24.4%−0.6%

first ⅓ avg 25.0% → last ⅓ avg 24.4%

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

0.21Best rating — inferno 9–5

13–2Biggest win — cache

5Longest win streak

6–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 50% over 12nukeWeakest map · 30% over 20

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	24	10–14	42%	0.02
nuke	D	20	6–14	30%	-0.00
ancient	C	18	7–11	39%	0.02
mirage	C	16	7–9	44%	0.00
anubis	B	12	6–6	50%	0.04
cache	C	7	3–4	43%	0.04
overpass	—	2	1–1	50%	0.03
dust2	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,184Lifetime kills

1.24K/D · Top 25% of Level 6 players

2,853Matches

49.6%Match win rate · Top 25% of Level 6 players

42.0%Headshot %

19.3%Shot accuracy · Top 5% of Level 6 players

12,226MVPs

866Hours (in match)

3,443Bombs planted

1,743Bombs defused

Most-used weapons

AK-4714,504

AWP12,068

M4A4 / M4A1-S7,885

P2000 / USP-S4,108

Desert Eagle3,444

Glock-182,836

MAC-101,215

Knife1,149

FAMAS1,080

SG 553897

Lifetime map wins

9,328inferno

2,918dust2

1,564vertigo

1,434nuke

484train

221cbble

190lake

105safehouse

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

Faceit stats

Combat

76Matches

55%Win rate

1.13Avg K/D

76.8ADR

49%Headshot %

Clutches & streaks

33%1v1 clutch win

23%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	20	60%	1.25	12.9
Ancient	16	56%	1.05	17.2
Inferno	12	50%	1.45	18.9
Nuke	10	60%	0.99	16.2
Dust2	7	57%	0.95	12.9
Overpass	5	40%	0.98	14.8
Anubis	2	100%	0.48	11.0
Cache	1	0%	0.76	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.

24.5%Headshot accuracy

36.1%Accuracy (enemy spotted)

41.0%Spray accuracy

79.3%Counter-strafing

9.8°Preaim

575msReaction time

30.3%T opening success

54.2%CT opening success

0.34Enemies flashed / flash

3.4%Flash assists

8.30HE damage / grenade

1.67Flashes / 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 0.3374 — 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 30.2791% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	15–15	0.02	25%	30 Aug →
ancient	8–13	0.03	21%	30 Aug →
ancient	13–6	0.05	33%	30 Aug →
nuke	6–13	0.01	18%	27 Aug →
anubis	9–13	0.04	25%	27 Aug →
nuke	5–13	0.00	29%	25 Aug →
anubis	16–14	0.00	19%	25 Aug →
inferno	2–13	-0.09	31%	25 Aug →
cache	13–8	0.04	27%	25 Aug →
mirage	13–11	0.02	23%	25 Aug →
mirage	2–13	0.00	20%	25 Aug →
nuke	13–11	0.03	27%	16 Aug →
inferno	13–5	0.08	35%	16 Aug →
inferno	4–13	-0.01	54%	16 Aug →
cache	11–13	0.04	26%	16 Aug →
mirage	2–9	0.02	20%	11 Aug →
anubis	13–5	-0.05	14%	11 Aug →
ancient	12–4	0.04	24%	11 Aug →
ancient	13–4	0.03	25%	11 Aug →
mirage	8–13	-0.01	19%	10 Aug →
cache	11–13	0.01	19%	10 Aug →
mirage	13–9	0.01	25%	9 Aug →
ancient	13–9	0.03	29%	9 Aug →
inferno	13–9	-0.01	23%	9 Aug →
cache	13–9	0.04	28%	9 Aug →
dust2	12–9	-0.03	20%	9 Aug →
mirage	11–13	-0.02	20%	8 Aug →
ancient	4–13	-0.01	23%	8 Aug →
nuke	13–11	0.01	16%	8 Aug →
mirage	3–13	-0.01	25%	8 Aug →
cache	8–13	0.06	20%	8 Aug →
inferno	13–7	0.09	24%	8 Aug →
mirage	16–13	-0.00	16%	8 Aug →
nuke	13–10	-0.06	18%	7 Aug →
anubis	15–15	0.07	13%	4 Aug →
nuke	14–16	0.02	30%	4 Aug →
mirage	13–10	0.00	50%	2 Aug →
inferno	11–13	0.05	22%	2 Aug →
nuke	0–9	-0.26	0%	2 Aug →
anubis	13–6	0.08	28%	24 Jul →
nuke	7–13	0.02	30%	24 Jul →
mirage	13–10	0.00	23%	23 Jul →
mirage	13–5	-0.01	19%	23 Jul →
ancient	10–13	-0.02	16%	23 Jul →
ancient	13–11	0.02	26%	20 Jul →
nuke	9–13	0.09	28%	20 Jul →
mirage	1–13	-0.06	25%	19 Jul →
ancient	13–10	0.02	2%	19 Jul →
inferno	15–15	-0.03	15%	17 Jul →
inferno	13–9	0.03	29%	17 Jul →
cache	13–2	0.03	13%	17 Jul →
mirage	9–13	0.07	18%	17 Jul →
ancient	5–13	0.02	20%	17 Jul →
anubis	9–13	0.00	19%	17 Jul →
anubis	5–0	0.18	23%	17 Jul →
ancient	8–13	0.08	24%	16 Jul →
mirage	15–15	0.03	20%	16 Jul →
ancient	4–13	-0.04	8%	16 Jul →
anubis	13–6	0.09	26%	16 Jul →
inferno	15–15	0.00	20%	16 Jul →
nuke	4–13	-0.05	27%	11 Jul →
ancient	5–13	-0.09	9%	11 Jul →
mirage	13–4	0.09	23%	9 Jul →
inferno	3–13	0.06	44%	7 Jul →
cache	3–13	0.03	18%	7 Jul →
nuke	12–12	0.05	15%	6 Jul →
anubis	7–13	-0.03	31%	5 Jul →
overpass	13–6	0.08	30%	5 Jul →
inferno	13–10	0.16	40%	5 Jul →
nuke	8–13	-0.05	28%	30 Jun →
ancient	13–10	0.05	16%	30 Jun →
inferno	1–9	-0.10	22%	30 Jun →
anubis	13–7	0.07	24%	29 Jun →
nuke	5–13	-0.05	40%	29 Jun →
inferno	2–9	-0.10	0%	23 Jun →
inferno	7–13	0.01	31%	20 Jun →
nuke	4–13	0.04	21%	20 Jun →
inferno	2–9	-0.10	38%	22 May →
anubis	11–13	-0.01	33%	9 May →
ancient	8–13	0.03	29%	9 May →
nuke	10–13	0.07	33%	8 May →
inferno	5–13	0.05	33%	8 May →
inferno	9–6	0.16	14%	7 May →
anubis	10–13	0.06	29%	1 May →
ancient	7–13	0.01	14%	1 May →
nuke	0–7	-0.11	17%	29 Apr →
inferno	0–9	-0.25	20%	29 Apr →
inferno	9–5	0.21	32%	29 Apr →
nuke	9–7	0.12	26%	29 Apr →
ancient	11–13	0.03	30%	28 Apr →
mirage	4–13	-0.09	0%	24 Apr →
nuke	7–13	0.06	23%	21 Apr →
nuke	13–6	-0.01	29%	21 Apr →
ancient	9–13	0.04	32%	21 Apr →
nuke	13–10	0.01	19%	21 Apr →
overpass	3–13	-0.02	23%	18 Apr →
inferno	13–9	0.05	24%	18 Apr →
inferno	6–13	0.05	27%	17 Apr →
inferno	13–6	-0.00	19%	3 Apr →
inferno	13–5	0.09	31%	3 Apr →