[STB] Psyfrotic — CS2 Stats

76561197979983046[U:1:19717318]

1,431Tracked matches57%Win rate2020Tracked since

CSDB Rating5.5 SolidPassive Rifler

WingmanThe Global Elite

Ladder ranks via Leetify

Performance scores

Aim63

Positioning43

Utility63

0–100 skill scores via Leetify.

Recent form

COLD47–48–5Last 10047%Win rateLLLLLLLWWW

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

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

Aim6.3

Aggression4.4

Utility6.3

Positioning4.3

Opening Duels0.1

Clutch5.4

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 NiKo 82% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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. 609ms 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

Aim6.3

Positioning4.3

Utility6.3

Mechanics6.9

Opening Duels1.0

Win Impact7.2

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-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time600ms−83ms

first ⅓ avg 682ms → last ⅓ avg 600ms

Headshot accuracy20.1%−1.1%

first ⅓ avg 21.2% → last ⅓ avg 20.1%

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

0.09Best rating — inferno 13–0

13–0Biggest win — inferno

8Longest win streak

L7Current streak

11–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

dust2Best map · 61% over 18nukeWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	18	8–10	44%	-0.03
dust2	A	18	11–7	61%	-0.00
inferno	C	17	7–10	41%	-0.01
ancient	B	14	7–7	50%	-0.03
anubis	C	13	5–8	38%	-0.02
nuke	D	8	1–7	13%	-0.04
overpass	B	8	4–4	50%	-0.01
cache	—	3	3–0	100%	-0.02
train	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

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

Faceit stats

Combat

446Matches

48%Win rate

1.03Avg K/D

79.1ADR

41%Headshot %

Clutches & streaks

47%1v1 clutch win

17%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	32	44%	1.05	16.3
Mirage	31	45%	1.02	16.2
Ancient	15	73%	1.25	18.9
Dust2	15	60%	1.12	15.5
Anubis	13	38%	0.99	15.8
Vertigo	5	20%	0.93	16.2
Nuke	4	50%	1.02	12.8
Cache	1	100%	2.18	24.0

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.

19.2%Headshot accuracy

32.6%Accuracy (enemy spotted)

30.9%Spray accuracy

81.1%Counter-strafing

9.6°Preaim

609msReaction time

23.5%T opening success

37.7%CT opening success

0.66Enemies flashed / flash

5.4%Flash assists

10.71HE damage / grenade

16.87Flashes / 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 23.4519% — 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.

13% win rate across 8 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
nuke	11–13	0.02	12%	23 Aug →
anubis	11–13	-0.07	9%	23 Aug →
inferno	6–13	-0.03	31%	18 Aug →
ancient	9–13	-0.03	13%	6 Aug →
anubis	5–13	0.01	32%	25 Jul →
inferno	5–13	-0.00	14%	25 Jul →
inferno	0–13	-0.05	0%	18 Jul →
mirage	12–6	-0.01	22%	18 Jul →
anubis	16–12	-0.06	8%	12 Jul →
cache	13–8	-0.05	29%	11 Jul →
inferno	13–4	-0.04	8%	11 Jul →
cache	13–11	0.00	17%	11 Jul →
dust2	13–11	0.01	20%	11 Jul →
mirage	13–9	-0.03	29%	11 Jul →
inferno	6–13	-0.04	14%	2 Jul →
nuke	2–13	-0.07	19%	2 Jul →
anubis	9–13	-0.01	16%	2 Jul →
ancient	8–13	-0.05	26%	2 Jul →
inferno	13–11	0.01	19%	1 Jul →
ancient	13–8	0.02	25%	1 Jul →
mirage	13–1	0.08	70%	1 Jul →
dust2	16–14	-0.00	21%	28 Jun →
anubis	13–6	-0.07	20%	28 Jun →
ancient	13–11	0.02	20%	28 Jun →
inferno	13–4	0.01	26%	28 Jun →
dust2	13–3	0.03	19%	28 Jun →
inferno	7–13	-0.03	11%	28 Jun →
ancient	11–13	-0.02	15%	28 Jun →
inferno	13–10	0.01	12%	28 Jun →
anubis	13–5	0.04	18%	28 Jun →
anubis	9–13	-0.02	16%	13 Jun →
dust2	7–13	0.01	22%	8 Jun →
mirage	13–6	-0.01	35%	8 Jun →
mirage	13–16	-0.04	27%	7 Jun →
anubis	13–9	0.01	16%	7 Jun →
nuke	11–13	-0.07	16%	7 Jun →
dust2	13–8	0.06	20%	7 Jun →
nuke	14–16	-0.01	21%	7 Jun →
mirage	15–15	-0.01	27%	7 Jun →
ancient	16–14	-0.02	23%	7 Jun →
anubis	2–13	-0.07	14%	25 May →
mirage	9–13	-0.03	11%	25 May →
overpass	13–10	-0.05	18%	25 May →
dust2	9–13	-0.04	30%	25 May →
dust2	13–11	0.01	23%	25 May →
mirage	9–13	-0.03	15%	25 May →
cache	13–10	-0.02	26%	11 May →
inferno	6–13	-0.04	16%	25 Mar →
overpass	9–13	-0.02	16%	25 Mar →
dust2	15–15	0.01	34%	23 Mar →
mirage	16–14	0.00	18%	23 Mar →
inferno	10–13	-0.04	27%	23 Mar →
dust2	12–12	0.03	20%	23 Mar →
ancient	8–13	-0.06	15%	19 Mar →
nuke	13–10	-0.03	19%	19 Mar →
dust2	8–13	-0.08	26%	19 Mar →
overpass	13–6	-0.02	14%	19 Mar →
nuke	4–13	-0.09	21%	19 Mar →
dust2	13–10	-0.08	23%	19 Mar →
ancient	6–13	-0.06	13%	16 Mar →
mirage	8–13	-0.08	22%	16 Mar →
dust2	13–10	-0.02	28%	16 Mar →
mirage	9–13	-0.06	22%	16 Mar →
overpass	11–13	-0.02	20%	12 Mar →
ancient	3–13	-0.06	18%	11 Mar →
dust2	2–13	-0.05	3%	11 Mar →
mirage	7–13	-0.09	12%	11 Mar →
overpass	13–11	0.02	20%	10 Mar →
anubis	16–14	-0.04	15%	9 Mar →
anubis	7–13	-0.03	13%	6 Mar →
anubis	11–13	0.01	17%	5 Mar →
ancient	13–3	-0.10	14%	5 Mar →
inferno	5–13	-0.05	21%	5 Mar →
nuke	2–9	0.01	31%	14 Feb →
ancient	13–5	-0.01	16%	14 Feb →
overpass	10–13	0.01	19%	14 Feb →
anubis	6–13	-0.04	16%	13 Feb →
inferno	13–6	0.05	22%	13 Feb →
ancient	13–7	0.00	20%	13 Feb →
dust2	13–10	0.03	28%	13 Feb →
inferno	13–0	0.09	33%	13 Feb →
inferno	7–13	0.00	25%	13 Feb →
ancient	13–10	-0.09	17%	15 Jan →
mirage	2–13	-0.13	15%	10 Jan →
ancient	12–12	0.01	12%	5 Jan →
mirage	7–13	-0.07	22%	31 Dec →
train	13–5	0.05	24%	31 Dec →
dust2	13–6	-0.04	21%	9 Nov →
inferno	12–12	-0.02	38%	9 Nov →
inferno	16–13	-0.01	26%	26 Oct →
overpass	10–13	-0.03	21%	2 Aug →
dust2	7–13	0.03	23%	1 Aug →
dust2	13–2	0.09	16%	1 Aug →
dust2	6–0	0.00	60%	1 Aug →
mirage	13–5	-0.02	12%	27 Jul →
mirage	13–4	0.09	26%	27 Jul →
nuke	10–13	-0.05	19%	27 Jul →
mirage	13–11	-0.00	18%	27 Jul →
overpass	13–9	0.04	9%	27 Jul →
mirage	2–9	-0.09	12%	27 Jul →