PROPHETIC KITTEN — CS2 Stats

76561198060763387[U:1:100497659]Steam profile ↗✓ No bans

1,895Tracked matches37%Win rate2020Tracked since

CSDB Rating4.3 Developing

Premier CS Rating15,345Purple band · top ~27% of ranked players (population est.)

CSDB Leaderboard#15912 of 25683 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanSilver II

Ladder ranks via Leetify

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Performance scores

Aim58

Positioning42

Utility39

0–100 skill scores via Leetify.

Recent form

COLD45–52–3Last 10045%Win rateLWWLWLLLLL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim5.8

Aggression3.1

Utility3.9

Positioning4.2

Opening Duels0.0

Clutch0.0

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 77% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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 39% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 688ms 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

Aim5.8

Positioning4.2

Utility3.9

Mechanics6.3

Opening Duels1.2

Win Impact0.6

Composite 4.3/10 (Developing), 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-0.03+0.00

first ⅓ avg -0.04 → last ⅓ avg -0.03

Reaction time693ms−17ms

first ⅓ avg 710ms → last ⅓ avg 693ms

Headshot accuracy14.5%+0.4%

first ⅓ avg 14.0% → last ⅓ avg 14.5%

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

0.08Best rating — dust2 13–1

13–1Biggest win — dust2

6Longest win streak

10–10In matches decided by ≤2 rounds

14Overtime games

Map breakdown

dust2Best map · 59% over 27infernoWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	27	16–11	59%	-0.03
mirage	C	18	8–10	44%	-0.03
cache	B	14	7–7	50%	-0.03
inferno	D	14	3–11	21%	-0.04
ancient	B	13	6–7	46%	-0.02
anubis	D	9	3–6	33%	-0.03
nuke	—	4	1–3	25%	-0.03
overpass	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

139Matches

55%Win rate

0.82Avg K/D

38.3ADR

36%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	22	55%	0.74	12.3
Mirage	19	74%	0.86	13.3
Ancient	12	50%	0.73	11.8
Inferno	11	55%	0.87	11.7
Nuke	2	0%	0.61	9.5
Overpass	2	50%	0.90	12.5
Vertigo	1	0%	0.57	8.0
Dust2	1	0%	0.81	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.

14.2%Headshot accuracy

37.2%Accuracy (enemy spotted)

41.1%Spray accuracy

78.2%Counter-strafing

10.9°Preaim

688msReaction time

19.8%T opening success

39.2%CT opening success

0.47Enemies flashed / flash

9.2%Flash assists

10.21HE damage / grenade

6.36Flashes / 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 14.1686% — below the 15% mark we flag
Aim Training →
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 0.4674 — 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 19.7833% — below the 40% mark we flag

Spend your practice time on Inferno

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

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