𝑭𝒓𝒐𝒛𝒆𝒏 — CS2 Stats

PT76561198409298814[U:1:449033086]Steam profile ↗✓ No bans

2,675Tracked matches50%Win rate2020Tracked since

4,859Hours in CS

CSDB Rating3.4 Learning

Premier CS Rating4,375Grey band · top ~81.4% of ranked players (population est.)

CSDB Leaderboard#42630 of 55300 tracked

FaceitLevel 2 · 465 ELOTop 97.9% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=673), 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 2 median	Level 3 median	vs Level 3
Headshot rate	37.8%	41.2%	42.2%	4.4% short
Shot accuracy	16.4%	12.5%	11.9%	above
Kill/death ratio	0.66	0.96	0.98	0.32 short
Match win rate	40.4%	42.8%	43.6%	3.2% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim42

Positioning33

Utility49

0–100 skill scores via Leetify.

Recent form

COLD44–56Last 10044%Win rateLLLLLWLWWL

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

Player DNA

Aim4.2

Aggression3.2

Utility4.9

Positioning3.3

Opening Duels0.0

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 NiKo 71% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 0.83 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 715ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim4.2

Positioning3.3

Utility4.9

Mechanics3.8

Opening Duels0.2

Win Impact5.0

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time714ms−38ms

first ⅓ avg 752ms → last ⅓ avg 714ms

Headshot accuracy12.3%−1.8%

first ⅓ avg 14.1% → last ⅓ avg 12.3%

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

0.11Best rating — dust2 9–13

13–0Biggest win — cache

4Longest win streak

L5Current streak

4–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

mirageBest map · 56% over 32dust2Weakest map · 24% over 33

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	33	8–25	24%	-0.02
mirage	A	32	18–14	56%	0.00
ancient	A	18	10–8	56%	0.00
anubis	C	7	3–4	43%	-0.02
cache	—	4	2–2	50%	-0.02
inferno	—	4	2–2	50%	0.00
vertigo	—	1	0–1	0%	-0.13
nuke	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (24% over 33). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

170,828Lifetime kills

0.66K/D

11,982Matches

40.4%Match win rate

37.8%Headshot %

16.4%Shot accuracy · Top 25% of Level 2 players

23,641MVPs

4,859Hours (in match)

14,656Bombs planted

2,121Bombs defused

Most-used weapons

AK-4742,854

M4A4 / M4A1-S35,975

Galil AR12,401

P2000 / USP-S12,233

FAMAS11,132

Glock-189,979

AWP7,925

SG 5536,349

Desert Eagle5,191

MP94,690

Lifetime map wins

8,266dust2

6,648inferno

2,263vertigo

1,303nuke

925train

587cbble

296office

155lake

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

Faceit stats

Combat

283Matches

45%Win rate

0.80Avg K/D

74.7ADR

37%Headshot %

Clutches & streaks

39%1v1 clutch win

26%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	79	48%	0.98	14.8
Dust2	52	60%	0.92	14.4
Ancient	24	46%	0.85	14.5
Inferno	13	46%	0.84	15.9
Anubis	13	54%	0.74	12.8
Cache	4	50%	0.86	14.3
Nuke	3	0%	0.68	11.0
Overpass	1	0%	0.73	11.0

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.

11.9%Headshot accuracy

37.6%Accuracy (enemy spotted)

33.9%Spray accuracy

67.2%Counter-strafing

9.7°Preaim

715msReaction time

27.1%T opening success

31.2%CT opening success

0.83Enemies flashed / flash

8.7%Flash assists

7.16HE damage / grenade

2.66Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.9197% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 715.3917ms — above the 700ms mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.6645 — below the 4 mark we flag
Grenade Lineups →

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 33 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
mirage	9–13	-0.04	9%	30 Aug →
mirage	5–13	-0.05	18%	30 Aug →
mirage	5–13	0.02	8%	29 Aug →
cache	4–13	-0.07	12%	29 Aug →
dust2	9–13	-0.05	13%	28 Aug →
dust2	16–12	0.03	9%	28 Aug →
dust2	9–13	-0.08	5%	28 Aug →
anubis	13–9	0.02	4%	26 Aug →
dust2	7–1	0.03	14%	26 Aug →
mirage	8–13	-0.01	27%	22 Aug →
vertigo	2–9	-0.13	22%	22 Aug →
dust2	9–13	0.03	12%	20 Aug →
mirage	13–8	0.02	12%	20 Aug →
mirage	11–13	0.05	7%	19 Aug →
anubis	10–13	-0.02	7%	19 Aug →
dust2	9–13	-0.02	10%	19 Aug →
ancient	13–7	-0.02	6%	18 Aug →
mirage	13–7	0.09	13%	17 Aug →
ancient	13–10	0.03	14%	16 Aug →
mirage	3–13	-0.01	17%	16 Aug →
dust2	5–13	-0.08	15%	16 Aug →
ancient	13–6	-0.04	14%	16 Aug →
nuke	13–4	-0.04	8%	16 Aug →
ancient	13–3	0.00	7%	15 Aug →
ancient	13–6	0.05	11%	15 Aug →
mirage	11–13	-0.06	16%	15 Aug →
dust2	5–13	-0.07	23%	14 Aug →
mirage	13–8	0.06	12%	14 Aug →
ancient	13–10	0.08	22%	14 Aug →
ancient	13–9	0.01	11%	14 Aug →
mirage	13–6	-0.02	6%	14 Aug →
dust2	8–13	-0.10	5%	14 Aug →
mirage	13–9	0.02	16%	14 Aug →
mirage	13–11	0.05	19%	13 Aug →
dust2	9–13	0.05	22%	12 Aug →
dust2	9–13	0.11	18%	9 Aug →
mirage	13–8	0.01	9%	9 Aug →
mirage	11–13	-0.08	5%	7 Aug →
dust2	14–16	-0.07	8%	7 Aug →
ancient	7–13	-0.08	12%	7 Aug →
dust2	13–5	-0.02	17%	7 Aug →
mirage	10–13	-0.02	11%	7 Aug →
ancient	8–13	-0.01	12%	7 Aug →
mirage	13–5	0.05	13%	6 Aug →
mirage	13–7	0.06	10%	6 Aug →
anubis	13–10	-0.02	3%	5 Aug →
mirage	7–13	0.02	19%	4 Aug →
inferno	13–7	0.00	12%	3 Aug →
dust2	13–11	0.04	11%	3 Aug →
mirage	8–13	-0.05	14%	3 Aug →
dust2	11–13	-0.03	10%	3 Aug →
dust2	6–13	0.04	13%	3 Aug →
inferno	13–11	-0.02	8%	3 Aug →
dust2	4–13	-0.07	4%	3 Aug →
dust2	14–16	-0.04	9%	3 Aug →
mirage	4–13	-0.01	19%	3 Aug →
ancient	13–6	-0.03	7%	3 Aug →
cache	13–8	-0.07	11%	3 Aug →
anubis	12–16	-0.04	16%	3 Aug →
dust2	5–13	-0.07	13%	3 Aug →
dust2	11–13	0.00	19%	2 Aug →
ancient	12–16	0.07	15%	2 Aug →
cache	13–0	0.03	6%	2 Aug →
ancient	13–0	0.03	19%	2 Aug →
ancient	8–13	-0.01	9%	2 Aug →
mirage	13–5	-0.02	10%	2 Aug →
dust2	14–16	-0.01	19%	2 Aug →
anubis	9–13	-0.02	13%	2 Aug →
mirage	13–0	0.04	20%	2 Aug →
dust2	9–13	-0.08	12%	1 Aug →
dust2	13–11	-0.02	7%	1 Aug →
mirage	12–16	-0.04	7%	1 Aug →
mirage	7–13	-0.02	14%	30 Jul →
mirage	13–9	-0.02	23%	29 Jul →
dust2	13–3	-0.00	7%	29 Jul →
dust2	8–13	-0.04	16%	29 Jul →
ancient	13–1	0.00	9%	29 Jul →
ancient	8–13	-0.05	13%	29 Jul →
dust2	11–13	-0.04	18%	29 Jul →
ancient	1–13	-0.04	16%	26 Jul →
inferno	8–13	0.01	15%	25 Jul →
dust2	6–13	-0.01	16%	25 Jul →
inferno	4–13	0.01	11%	24 Jul →
ancient	8–13	-0.02	9%	24 Jul →
mirage	13–5	0.02	21%	24 Jul →
ancient	10–13	0.05	15%	24 Jul →
anubis	13–9	-0.04	9%	24 Jul →
dust2	14–16	-0.05	16%	24 Jul →
cache	6–13	0.03	13%	24 Jul →
dust2	2–13	-0.10	13%	24 Jul →
dust2	16–12	0.04	14%	24 Jul →
mirage	16–13	0.01	14%	24 Jul →
dust2	7–13	-0.03	28%	23 Jul →
mirage	13–1	0.06	16%	23 Jul →
anubis	7–13	-0.01	9%	23 Jul →
mirage	13–8	0.03	6%	23 Jul →
dust2	8–13	-0.08	15%	23 Jul →
mirage	13–1	0.02	23%	22 Jul →
mirage	13–4	-0.00	12%	22 Jul →
dust2	13–3	0.03	16%	22 Jul →