Pyssyh — CS2 Stats

FI76561198007491281[U:1:47225553]Steam profile ↗

2,771Tracked matches53%Win rate2020Tracked since

CSDB Rating5.6 SolidHybrid Rifler

FaceitLevel 7 · 1,382 ELOTop 42.3% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning59

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateWWLWWLLLWL

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

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

Aim6.7

Aggression9.2

Utility6.8

Positioning5.9

Opening Duels3.7

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 jL 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Areas to improve

Reaction time. 639ms 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

Aim6.7

Positioning5.9

Utility6.8

Mechanics6.9

Opening Duels3.7

Win Impact6.1

Composite 5.6/10 (Solid), 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 rating0.01+0.03

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time635ms+19ms

first ⅓ avg 616ms → last ⅓ avg 635ms

Headshot accuracy16.9%+1.2%

first ⅓ avg 15.7% → last ⅓ avg 16.9%

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 — cache 13–10

13–1Biggest win — nuke

4Longest win streak

W2Current streak

9–6In matches decided by ≤2 rounds

13Overtime games

Map breakdown

infernoBest map · 75% over 16dust2Weakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	28	14–14	50%	-0.01
inferno	S	16	12–4	75%	0.00
anubis	B	16	8–8	50%	0.01
mirage	B	11	5–6	45%	-0.01
overpass	D	9	3–6	33%	-0.02
dust2	D	8	1–7	13%	-0.03
ancient	C	7	3–4	43%	-0.00
cache	A	5	3–2	60%	0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,778Matches

51%Win rate

0.88Avg K/D

70.6ADR

36%Headshot %

Clutches & streaks

39%1v1 clutch win

15%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	104	55%	0.97	13.6
Dust2	77	62%	0.85	13.1
Mirage	76	51%	1.00	14.3
Anubis	58	50%	0.99	14.7
Inferno	52	65%	0.95	14.2
Ancient	32	50%	0.86	11.6
Overpass	18	56%	0.87	12.9
Train	13	62%	0.87	13.1

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.

16.5%Headshot accuracy

37.4%Accuracy (enemy spotted)

39.4%Spray accuracy

81.1%Counter-strafing

10.8°Preaim

639msReaction time

37.8%T opening success

51.5%CT opening success

0.61Enemies flashed / flash

9.5%Flash assists

8.39HE damage / grenade

11.11Flashes / 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 37.7723% — 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.

13% win rate across 8 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
nuke	13–1	0.03	24%	26 Aug →
nuke	13–7	0.03	21%	24 Aug →
inferno	5–13	-0.01	24%	17 Aug →
cache	13–8	0.04	18%	17 Aug →
nuke	13–6	0.03	17%	17 Aug →
inferno	11–13	0.02	16%	28 Jul →
anubis	7–13	-0.05	9%	28 Jul →
mirage	6–13	-0.04	19%	28 Jul →
nuke	13–9	0.00	38%	11 Jun →
inferno	9–13	-0.06	15%	28 May →
ancient	3–13	-0.04	10%	28 May →
overpass	8–13	0.02	16%	27 May →
ancient	5–13	-0.03	7%	8 May →
cache	8–13	0.03	14%	30 Apr →
ancient	13–3	0.06	17%	30 Apr →
cache	13–1	0.02	19%	30 Apr →
cache	8–13	0.01	11%	28 Apr →
overpass	10–13	-0.01	18%	28 Apr →
anubis	13–8	0.03	12%	28 Apr →
nuke	8–13	0.04	38%	28 Apr →
anubis	13–10	0.00	23%	28 Apr →
cache	13–10	0.18	19%	28 Apr →
ancient	13–4	0.03	7%	28 Apr →
nuke	13–10	-0.02	14%	22 Apr →
anubis	8–13	0.01	13%	22 Apr →
nuke	13–2	0.01	9%	22 Apr →
anubis	6–13	-0.05	8%	21 Apr →
overpass	16–14	-0.03	7%	21 Apr →
nuke	13–6	0.04	19%	21 Apr →
inferno	13–9	0.07	11%	21 Apr →
dust2	9–13	-0.06	17%	21 Apr →
overpass	16–13	0.11	26%	17 Apr →
nuke	10–13	0.06	21%	15 Apr →
dust2	11–13	0.05	22%	15 Apr →
inferno	13–9	-0.04	12%	15 Apr →
nuke	6–13	-0.10	15%	15 Apr →
inferno	13–4	0.01	11%	13 Apr →
nuke	13–11	0.02	14%	13 Apr →
inferno	16–13	0.01	13%	12 Apr →
mirage	4–13	-0.06	19%	10 Apr →
inferno	13–7	0.03	19%	9 Apr →
anubis	11–13	0.03	28%	9 Apr →
nuke	13–2	0.02	15%	9 Apr →
inferno	13–1	0.00	19%	9 Apr →
anubis	13–4	0.08	16%	9 Apr →
inferno	13–6	-0.01	17%	9 Apr →
dust2	6–13	-0.07	16%	9 Apr →
nuke	13–6	-0.04	16%	9 Apr →
anubis	11–13	-0.02	15%	9 Apr →
mirage	13–4	-0.05	11%	8 Apr →
anubis	4–13	-0.03	10%	8 Apr →
inferno	12–16	-0.02	19%	8 Apr →
nuke	7–13	-0.05	9%	8 Apr →
overpass	3–13	-0.06	17%	7 Apr →
anubis	16–13	0.04	14%	2 Apr →
inferno	16–14	-0.02	7%	2 Apr →
dust2	9–13	-0.02	5%	2 Apr →
nuke	13–11	-0.07	12%	2 Apr →
inferno	13–8	0.03	19%	2 Apr →
mirage	4–13	-0.05	12%	2 Apr →
nuke	8–13	-0.04	16%	2 Apr →
overpass	8–8	-0.04	17%	2 Apr →
dust2	15–15	0.00	16%	1 Apr →
nuke	10–13	0.02	19%	1 Apr →
mirage	13–2	0.10	11%	1 Apr →
mirage	2–13	-0.11	10%	1 Apr →
anubis	16–13	-0.02	25%	1 Apr →
inferno	13–11	0.05	16%	31 Mar →
nuke	6–13	-0.00	13%	30 Mar →
mirage	10–13	-0.00	9%	30 Mar →
overpass	6–13	-0.06	21%	29 Mar →
ancient	7–13	-0.06	23%	29 Mar →
anubis	14–16	-0.01	22%	29 Mar →
ancient	5–13	-0.02	14%	26 Mar →
nuke	8–13	-0.07	16%	26 Mar →
inferno	16–14	-0.02	21%	26 Mar →
mirage	13–5	0.07	17%	26 Mar →
nuke	6–13	-0.04	13%	26 Mar →
overpass	7–13	-0.06	21%	25 Mar →
dust2	7–13	-0.04	23%	25 Mar →
nuke	10–13	-0.10	11%	24 Mar →
nuke	9–13	-0.02	9%	24 Mar →
mirage	6–13	-0.01	14%	24 Mar →
nuke	2–13	-0.04	27%	23 Mar →
anubis	16–14	0.04	11%	23 Mar →
overpass	16–12	-0.00	16%	22 Mar →
inferno	13–10	-0.02	13%	20 Mar →
nuke	13–11	0.06	17%	19 Mar →
anubis	7–13	0.08	20%	19 Mar →
anubis	13–10	-0.01	5%	18 Mar →
ancient	13–4	0.04	12%	18 Mar →
dust2	7–13	-0.09	3%	18 Mar →
nuke	13–8	-0.07	25%	18 Mar →
mirage	13–5	-0.01	9%	17 Mar →
nuke	7–13	0.01	20%	16 Mar →
mirage	13–6	0.01	18%	16 Mar →
dust2	16–14	-0.04	10%	16 Mar →
anubis	13–7	-0.03	13%	16 Mar →
nuke	11–13	0.02	23%	16 Mar →
nuke	13–10	0.06	17%	12 Mar →