fishi — CS2 Stats

76561198137891784[U:1:177626056]Steam profile ↗✓ No bans

4,040Tracked matches43%Win rate2020Tracked since

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating25,505Top 25% of 819 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)

CSDB Leaderboard#1986 of 15155 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning63

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateLWLWLWWTWL

Last 10 vs previous 10: +20pp win rate · +0.06 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.9

Aggression7.9

Utility4.2

Positioning6.3

Opening Duels3.4

Clutch5.4

Strong CT-side openerEffective flashes

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, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 51% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.9

Positioning6.3

Utility4.2

Mechanics6.9

Opening Duels3.4

Win Impact2.8

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.04

first ⅓ avg 0.04 → last ⅓ avg -0.00

Reaction time529ms−33ms

first ⅓ avg 562ms → last ⅓ avg 529ms

Headshot accuracy24.6%+0.2%

first ⅓ avg 24.5% → last ⅓ avg 24.6%

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

0.31Best rating — inferno 9–2

13–2Biggest win — cache

5Longest win streak

6–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

infernoBest map · 80% over 10anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	11–16	41%	0.00
dust2	A	16	9–7	56%	-0.00
cache	C	14	5–9	36%	0.02
nuke	D	14	4–10	29%	0.01
inferno	S	10	8–2	80%	0.07
anubis	D	5	1–4	20%	0.03
ancient	—	4	2–2	50%	-0.02
office	—	3	0–3	0%	0.01
vertigo	—	2	2–0	100%	0.05
poseidon	—	2	1–1	50%	-0.06
train	—	1	0–1	0%	-0.03
italy	—	1	0–1	0%	0.01
debris	—	1	1–0	100%	0.20

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

352Matches

57%Win rate

1.20Avg K/D

84.6ADR

45%Headshot %

Clutches & streaks

47%1v1 clutch win

22%1v2 clutch win

20Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	58	50%	1.07	16.5
Nuke	31	71%	1.27	15.5
Inferno	14	43%	1.01	15.4
Vertigo	12	75%	1.31	19.3
Dust2	12	58%	1.14	17.1
Overpass	11	64%	1.19	16.1
Anubis	10	30%	0.93	13.1
Ancient	8	62%	0.93	14.3

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.

21.8%Headshot accuracy

32.9%Accuracy (enemy spotted)

34.3%Spray accuracy

81.1%Counter-strafing

8.7°Preaim

513msReaction time

35.7%T opening success

51.2%CT opening success

0.74Enemies flashed / flash

9.4%Flash assists

7.34HE damage / grenade

5.06Flashes / 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 35.665% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	6–13	-0.02	17%	28 Aug →
inferno	13–8	-0.01	30%	28 Aug →
train	3–13	-0.03	25%	27 Aug →
dust2	13–4	0.08	30%	27 Aug →
italy	10–13	0.01	12%	26 Aug →
cache	13–2	0.14	28%	26 Aug →
vertigo	9–6	-0.01	24%	25 Aug →
nuke	8–8	-0.01	43%	25 Aug →
inferno	9–2	0.20	27%	25 Aug →
inferno	6–9	-0.06	39%	25 Aug →
poseidon	9–5	0.13	30%	25 Aug →
poseidon	4–9	-0.25	18%	25 Aug →
inferno	9–5	0.04	52%	25 Aug →
dust2	1–13	-0.04	15%	24 Aug →
nuke	5–13	-0.03	23%	24 Aug →
cache	5–13	-0.05	26%	23 Aug →
dust2	0–13	-0.05	29%	23 Aug →
dust2	2–13	-0.04	21%	23 Aug →
cache	7–13	0.01	31%	22 Aug →
mirage	13–8	0.01	24%	22 Aug →
ancient	13–7	-0.04	5%	22 Aug →
mirage	8–13	-0.01	20%	21 Aug →
dust2	13–16	-0.01	23%	21 Aug →
mirage	13–11	0.00	26%	17 Aug →
inferno	13–8	0.04	19%	17 Aug →
cache	13–5	0.04	28%	17 Aug →
mirage	14–16	-0.02	21%	17 Aug →
mirage	5–13	-0.07	32%	17 Aug →
cache	8–13	-0.04	16%	16 Aug →
mirage	13–11	0.04	16%	16 Aug →
dust2	11–4	-0.02	10%	16 Aug →
cache	13–7	-0.01	20%	15 Aug →
anubis	7–13	-0.00	34%	15 Aug →
dust2	25–23	-0.01	14%	15 Aug →
nuke	4–13	-0.01	28%	14 Aug →
mirage	13–5	0.13	21%	14 Aug →
ancient	5–13	-0.06	28%	13 Aug →
mirage	13–9	-0.02	23%	13 Aug →
nuke	5–13	-0.02	21%	12 Aug →
mirage	6–13	-0.09	7%	12 Aug →
mirage	13–8	0.00	22%	12 Aug →
mirage	8–13	0.01	38%	10 Aug →
dust2	8–13	0.02	30%	10 Aug →
mirage	9–13	0.06	25%	9 Aug →
dust2	13–10	0.07	23%	8 Aug →
mirage	13–2	-0.00	19%	8 Aug →
nuke	13–8	0.02	18%	8 Aug →
dust2	13–11	0.03	28%	8 Aug →
nuke	13–5	0.08	32%	8 Aug →
anubis	3–13	0.10	23%	8 Aug →
mirage	4–13	-0.07	35%	6 Aug →
mirage	13–7	0.01	23%	6 Aug →
dust2	13–8	-0.06	22%	6 Aug →
cache	14–16	-0.03	25%	4 Aug →
nuke	13–16	-0.05	14%	4 Aug →
inferno	9–6	0.09	33%	4 Aug →
anubis	7–13	0.01	24%	31 Jul →
cache	13–9	0.06	19%	31 Jul →
mirage	9–13	-0.02	22%	31 Jul →
mirage	11–13	0.07	24%	30 Jul →
dust2	13–10	-0.01	27%	30 Jul →
nuke	11–13	0.01	29%	30 Jul →
nuke	8–13	-0.05	14%	30 Jul →
mirage	15–15	0.02	14%	29 Jul →
cache	11–13	0.01	28%	29 Jul →
mirage	14–16	0.01	25%	28 Jul →
mirage	10–13	-0.02	19%	27 Jul →
dust2	13–4	0.06	29%	27 Jul →
ancient	10–13	-0.04	25%	26 Jul →
dust2	13–10	-0.03	27%	26 Jul →
mirage	13–7	0.01	20%	26 Jul →
anubis	4–13	-0.03	13%	26 Jul →
mirage	13–16	-0.00	20%	26 Jul →
cache	7–13	-0.00	38%	25 Jul →
nuke	13–9	0.08	21%	25 Jul →
mirage	13–7	0.03	34%	25 Jul →
dust2	6–13	0.01	39%	25 Jul →
cache	9–13	0.00	17%	24 Jul →
inferno	9–3	0.04	32%	24 Jul →
office	8–13	-0.04	31%	22 Jul →
vertigo	13–5	0.10	13%	22 Jul →
nuke	12–12	0.05	29%	22 Jul →
inferno	13–11	0.07	24%	22 Jul →
dust2	6–13	-0.06	26%	22 Jul →
mirage	12–12	0.06	23%	21 Jul →
anubis	13–8	0.08	18%	21 Jul →
cache	10–1	0.15	21%	21 Jul →
nuke	9–5	0.14	19%	21 Jul →
inferno	9–2	0.31	54%	21 Jul →
mirage	4–13	-0.03	17%	20 Jul →
office	6–13	-0.03	26%	20 Jul →
debris	9–7	0.20	28%	19 Jul →
nuke	1–9	-0.13	21%	19 Jul →
nuke	5–13	0.05	13%	19 Jul →
office	8–13	0.09	27%	19 Jul →
ancient	13–8	0.08	15%	19 Jul →
cache	9–13	-0.01	25%	19 Jul →
mirage	13–6	0.01	16%	19 Jul →
inferno	13–16	-0.00	22%	19 Jul →
cache	1–13	-0.03	25%	19 Jul →