physiofuchs — CS2 Stats

76561198159530479[U:1:199264751]

557Tracked matches53%Win rate2020Tracked since

CSDB Rating5.5 Solid

Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim59

Positioning54

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateWLLWLWLWLL

Last 10 vs previous 10: -30pp win rate · -0.05 avg rating

Player DNA

Aim5.9

Aggression8.3

Utility4.6

Positioning5.4

Opening Duels3.5

Clutch1.4

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 ropz 85% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: higher opening-fight frequency; 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

T-side openings. Opening success drops from 53% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms 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

Aim5.9

Positioning5.4

Utility4.6

Mechanics6.5

Opening Duels3.5

Win Impact6.1

Composite 5.5/10 (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 rating-0.00−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time604ms−13ms

first ⅓ avg 617ms → last ⅓ avg 604ms

Headshot accuracy18.3%−1.1%

first ⅓ avg 19.4% → last ⅓ avg 18.3%

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

0.24Best rating — inferno 9–0

13–3Biggest win — ancient

7Longest win streak

5–4In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 58% over 19dust2Weakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	22	11–11	50%	0.01
mirage	C	21	9–12	43%	-0.01
ancient	A	19	11–8	58%	0.01
anubis	B	10	5–5	50%	-0.00
cache	A	7	4–3	57%	-0.00
overpass	C	7	3–4	43%	0.02
dust2	D	5	0–5	0%	-0.04
nuke	—	4	2–2	50%	0.00
vertigo	—	1	0–1	0%	-0.09
boulder	—	1	1–0	100%	0.08
train	—	1	1–0	100%	-0.05
poseidon	—	1	0–1	0%	0.08
sanctum	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

64Matches

53%Win rate

0.93Avg K/D

76.2ADR

49%Headshot %

Clutches & streaks

27%1v1 clutch win

29%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	19	42%	0.80	13.9
Ancient	16	75%	1.21	15.5
Inferno	14	50%	0.94	13.4
Anubis	3	33%	0.90	15.3
Dust2	2	0%	0.62	14.5
Nuke	2	0%	0.47	8.5
Overpass	1	100%	1.55	17.0
Cache	1	0%	1.00	16.0

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.

18.1%Headshot accuracy

31.3%Accuracy (enemy spotted)

30.9%Spray accuracy

79.4%Counter-strafing

9.7°Preaim

602msReaction time

34.8%T opening success

53.4%CT opening success

0.44Enemies flashed / flash

3.4%Flash assists

10.25HE damage / grenade

4.93Flashes / 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 0.4428 — 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 34.8134% — 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.

0% win rate across 5 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
inferno	16–12	0.06	18%	30 Aug →
cache	14–16	-0.04	11%	23 Aug →
inferno	2–13	-0.03	14%	22 Aug →
inferno	13–11	-0.02	9%	19 Aug →
ancient	3–13	-0.03	12%	19 Aug →
mirage	13–10	0.01	27%	19 Aug →
vertigo	5–9	-0.09	12%	19 Aug →
inferno	9–4	-0.06	28%	19 Aug →
overpass	7–13	0.08	19%	19 Aug →
dust2	3–13	-0.04	27%	19 Aug →
anubis	13–8	0.06	22%	29 Jul →
inferno	10–13	0.01	24%	29 Jul →
ancient	13–3	0.12	20%	28 Jul →
cache	13–3	0.10	28%	28 Jul →
boulder	13–4	0.08	23%	28 Jul →
anubis	13–7	0.02	15%	28 Jul →
cache	13–3	0.00	11%	22 Jul →
anubis	8–13	0.00	24%	22 Jul →
cache	13–7	0.01	5%	19 Jul →
ancient	4–13	-0.03	24%	19 Jul →
inferno	13–11	-0.02	19%	18 Jul →
dust2	3–13	-0.09	16%	18 Jul →
mirage	13–4	0.04	20%	18 Jul →
inferno	8–13	-0.06	25%	18 Jul →
anubis	7–13	-0.01	13%	18 Jul →
ancient	13–4	0.01	13%	18 Jul →
ancient	9–13	0.05	18%	16 Jul →
inferno	2–13	-0.06	14%	15 Jul →
mirage	13–8	-0.03	10%	15 Jul →
mirage	13–9	-0.05	20%	5 Jul →
nuke	8–13	-0.05	21%	5 Jul →
ancient	13–4	0.03	26%	5 Jul →
mirage	7–13	-0.01	18%	5 Jul →
mirage	12–16	-0.04	9%	5 Jul →
ancient	13–9	-0.06	13%	5 Jul →
inferno	13–10	0.05	15%	5 Jul →
mirage	8–13	0.06	22%	5 Jul →
mirage	10–13	-0.05	19%	5 Jul →
mirage	10–13	0.01	27%	5 Jul →
ancient	15–15	-0.03	16%	5 Jul →
ancient	13–8	0.01	16%	4 Jul →
inferno	5–13	-0.04	13%	3 Jul →
overpass	11–13	-0.02	12%	3 Jul →
inferno	8–13	-0.04	14%	1 Jul →
anubis	15–15	0.02	13%	1 Jul →
ancient	13–6	-0.04	26%	1 Jul →
mirage	13–6	-0.00	17%	1 Jul →
train	13–11	-0.05	23%	1 Jul →
cache	13–9	-0.01	28%	1 Jul →
anubis	8–13	-0.09	11%	24 Jun →
mirage	10–13	-0.03	13%	24 Jun →
overpass	4–13	-0.04	3%	20 Jun →
anubis	13–7	-0.02	18%	20 Jun →
ancient	13–5	0.08	15%	17 Jun →
cache	8–13	-0.02	20%	17 Jun →
anubis	13–9	-0.03	16%	16 Jun →
ancient	10–13	-0.02	15%	16 Jun →
cache	5–13	-0.06	9%	14 Jun →
nuke	10–13	-0.04	17%	10 Jun →
nuke	13–8	-0.02	21%	19 May →
mirage	10–13	-0.05	19%	19 May →
inferno	10–13	0.00	37%	28 Apr →
mirage	6–13	0.03	23%	28 Apr →
ancient	13–5	0.08	20%	22 Apr →
anubis	13–6	0.03	28%	22 Apr →
overpass	13–9	0.01	18%	22 Apr →
ancient	10–13	0.02	12%	10 Apr →
mirage	13–10	0.01	8%	10 Apr →
inferno	4–13	-0.04	13%	8 Apr →
ancient	13–10	-0.01	18%	8 Apr →
inferno	10–13	0.03	19%	6 Apr →
overpass	13–10	0.06	15%	6 Apr →
mirage	10–13	0.04	19%	6 Apr →
ancient	8–13	-0.03	37%	29 Mar →
anubis	8–13	0.01	23%	29 Mar →
dust2	8–13	-0.03	27%	29 Mar →
inferno	13–16	-0.03	19%	29 Mar →
inferno	8–13	-0.01	20%	29 Mar →
mirage	13–8	0.02	20%	28 Mar →
mirage	13–11	-0.02	8%	27 Mar →
mirage	10–13	-0.04	39%	27 Mar →
poseidon	8–8	0.08	26%	18 Mar →
inferno	9–0	0.24	20%	18 Mar →
sanctum	5–9	-0.01	12%	18 Mar →
overpass	11–13	-0.01	18%	11 Mar →
inferno	9–3	0.14	30%	8 Mar →
nuke	9–7	0.12	18%	8 Mar →
inferno	9–5	-0.03	19%	7 Mar →
inferno	13–10	-0.00	16%	4 Mar →
mirage	13–9	-0.02	5%	4 Mar →
ancient	13–9	0.03	18%	4 Mar →
inferno	9–6	0.07	11%	3 Mar →
mirage	10–13	-0.01	20%	1 Mar →
overpass	13–5	0.03	23%	1 Mar →
mirage	10–13	-0.04	25%	1 Mar →
dust2	11–13	-0.07	18%	1 Mar →
inferno	13–10	0.00	11%	1 Mar →
ancient	6–13	-0.06	17%	20 Feb →
dust2	6–13	0.04	27%	20 Feb →
ancient	13–9	0.03	22%	15 Feb →