fishy # OXO86 — CS2 Stats

DE76561197984971798[U:1:24706070]Steam profile ↗✓ No bans

2,678Tracked matches39%Win rate2021Tracked since

CSDB Rating5.6 SolidHybrid Rifler

Premier CS Rating16,015Purple band · top ~24.4% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning45

Utility59

0–100 skill scores via Leetify.

Recent form

COLD47–47–6Last 10047%Win rateLLWLLLWLTW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

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

Aim7.5

Aggression5.8

Utility5.9

Positioning4.5

Opening Duels2.3

Clutch4.0

Strong CT-side opener

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 b1t 92% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

T-side openings. Opening success drops from 51% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 657ms 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

Aim7.5

Positioning4.5

Utility5.9

Mechanics7.7

Opening Duels2.6

Win Impact1.4

Composite 5.6/10 (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+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time647ms−46ms

first ⅓ avg 693ms → last ⅓ avg 647ms

Headshot accuracy12.9%−0.5%

first ⅓ avg 13.3% → last ⅓ avg 12.9%

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

0.12Best rating — nuke 13–2

13–1Biggest win — dust2

7Longest win streak

L2Current streak

9–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 69% over 13dust2Weakest map · 37% over 43

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	43	16–27	37%	-0.02
anubis	S	13	9–4	69%	0.02
ancient	B	13	6–7	46%	0.01
nuke	C	8	3–5	38%	0.01
inferno	A	8	5–3	63%	-0.00
cache	C	7	3–4	43%	-0.02
overpass	—	3	3–0	100%	-0.01
mirage	—	3	1–2	33%	-0.05
train	—	2	1–1	50%	-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (37% over 43). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

250Matches

51%Win rate

0.90Avg K/D

72.4ADR

35%Headshot %

Clutches & streaks

40%1v1 clutch win

15%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	50	56%	0.91	14.0
Anubis	41	51%	0.95	15.3
Dust2	41	51%	0.91	12.7
Ancient	33	45%	0.90	14.3
Nuke	18	44%	0.98	12.4
Mirage	16	44%	0.86	16.1
Vertigo	9	56%	0.91	16.7
Overpass	4	50%	1.06	19.5

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.

12.6%Headshot accuracy

42.2%Accuracy (enemy spotted)

44.6%Spray accuracy

84.8%Counter-strafing

10.5°Preaim

657msReaction time

27.9%T opening success

50.7%CT opening success

0.54Enemies flashed / flash

1.8%Flash assists

11.80HE damage / grenade

6.58Flashes / 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 12.6302% — below the 15% mark we flag
Aim Training →
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 27.8752% — 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.

37% win rate across 43 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
dust2	7–13	-0.05	15%	29 Aug →
dust2	11–13	-0.03	8%	29 Aug →
dust2	13–1	0.06	15%	29 Aug →
nuke	10–13	-0.02	17%	25 Aug →
anubis	8–13	-0.01	4%	25 Aug →
ancient	4–13	-0.03	13%	25 Aug →
dust2	13–9	0.01	14%	25 Aug →
anubis	5–13	-0.00	8%	24 Aug →
inferno	15–15	-0.05	4%	24 Aug →
ancient	13–10	0.00	19%	24 Aug →
dust2	7–13	0.04	13%	22 Aug →
overpass	13–5	0.05	17%	22 Aug →
dust2	11–13	-0.01	25%	22 Aug →
nuke	2–13	-0.08	11%	22 Aug →
dust2	6–13	-0.03	18%	20 Aug →
dust2	13–9	0.08	7%	20 Aug →
nuke	7–13	-0.05	13%	20 Aug →
dust2	6–13	-0.05	22%	20 Aug →
dust2	12–12	-0.05	7%	19 Aug →
inferno	4–13	-0.06	13%	19 Aug →
ancient	14–16	0.01	9%	19 Aug →
dust2	13–8	-0.02	14%	19 Aug →
anubis	13–8	0.02	15%	19 Aug →
cache	5–13	-0.06	14%	17 Aug →
dust2	10–13	-0.03	12%	17 Aug →
anubis	13–9	-0.03	16%	17 Aug →
cache	16–14	-0.00	13%	17 Aug →
ancient	13–7	0.04	9%	17 Aug →
mirage	10–13	-0.03	10%	14 Aug →
nuke	13–2	0.12	13%	14 Aug →
dust2	13–10	0.01	17%	13 Aug →
cache	13–11	-0.02	7%	13 Aug →
anubis	13–4	0.07	16%	13 Aug →
dust2	13–8	-0.03	11%	12 Aug →
dust2	13–7	0.06	13%	12 Aug →
nuke	13–7	0.08	18%	12 Aug →
anubis	9–13	-0.02	11%	10 Aug →
cache	12–16	0.00	8%	10 Aug →
dust2	13–5	0.02	18%	10 Aug →
anubis	13–7	0.02	19%	8 Aug →
anubis	13–11	0.02	24%	8 Aug →
cache	0–13	-0.08	50%	8 Aug →
dust2	16–14	-0.01	17%	8 Aug →
ancient	10–13	0.00	8%	8 Aug →
dust2	13–3	-0.02	37%	8 Aug →
dust2	12–12	0.01	16%	6 Aug →
anubis	12–16	-0.03	8%	6 Aug →
nuke	5–13	-0.00	18%	6 Aug →
train	13–9	0.01	18%	4 Aug →
inferno	12–12	-0.05	14%	4 Aug →
dust2	11–13	-0.04	13%	3 Aug →
anubis	13–9	0.09	10%	3 Aug →
dust2	13–4	0.06	12%	29 Jul →
dust2	10–13	-0.06	8%	29 Jul →
ancient	13–6	0.07	16%	29 Jul →
ancient	13–7	0.11	14%	28 Jul →
mirage	13–11	-0.05	8%	28 Jul →
nuke	4–13	0.02	17%	27 Jul →
ancient	13–7	0.08	15%	27 Jul →
inferno	13–10	-0.03	20%	25 Jul →
inferno	13–3	0.02	18%	25 Jul →
dust2	5–13	-0.02	11%	24 Jul →
dust2	2–13	-0.06	26%	21 Jul →
dust2	2–13	-0.10	16%	21 Jul →
anubis	16–12	0.07	14%	21 Jul →
ancient	11–13	-0.06	14%	21 Jul →
dust2	6–13	-0.02	9%	20 Jul →
mirage	6–13	-0.08	7%	19 Jul →
dust2	13–7	0.03	23%	19 Jul →
ancient	8–13	-0.01	9%	19 Jul →
overpass	13–5	-0.03	21%	17 Jul →
inferno	13–4	0.06	19%	17 Jul →
dust2	7–13	-0.13	19%	16 Jul →
dust2	13–9	-0.00	16%	16 Jul →
ancient	13–5	-0.01	11%	16 Jul →
nuke	13–11	0.01	8%	16 Jul →
ancient	3–13	-0.10	21%	16 Jul →
cache	13–9	0.02	6%	15 Jul →
dust2	14–16	-0.05	6%	15 Jul →
inferno	13–6	0.09	12%	15 Jul →
dust2	12–12	-0.01	10%	14 Jul →
dust2	5–13	-0.06	6%	14 Jul →
dust2	15–15	0.04	10%	14 Jul →
dust2	2–13	0.00	15%	14 Jul →
dust2	11–13	-0.05	10%	11 Jul →
inferno	13–11	-0.01	12%	9 Jul →
dust2	13–4	0.01	12%	9 Jul →
dust2	13–10	0.03	17%	9 Jul →
anubis	13–11	0.00	12%	9 Jul →
cache	10–13	-0.01	12%	9 Jul →
anubis	13–5	0.02	11%	8 Jul →
ancient	10–13	0.01	16%	7 Jul →
dust2	8–13	0.02	17%	7 Jul →
dust2	13–9	-0.03	9%	7 Jul →
dust2	7–13	0.00	20%	6 Jul →
train	1–13	-0.01	21%	6 Jul →
dust2	7–13	-0.09	19%	6 Jul →
dust2	8–13	-0.06	18%	6 Jul →
dust2	8–13	-0.04	3%	6 Jul →
overpass	13–11	-0.06	14%	5 Jul →