Fish — CS2 Stats

76561199400423074[U:1:1440157346]

404Tracked matches43%Win rate2025Tracked since

CSDB Rating2.2 Learning

Premier CS Rating2,545Grey band · top ~89.2% of ranked players (population est.)

WingmanSilver I

Ladder ranks via Leetify

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Performance scores

Aim21

Positioning29

Utility25

0–100 skill scores via Leetify.

Recent form

STEADY38–55–7Last 10038%Win rateWLLWLLWLWT

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim2.1

Aggression0.7

Utility2.5

Positioning2.9

Opening Duels0.0

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 56% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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 37% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 668ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.1

Positioning2.9

Utility2.5

Mechanics3.8

Opening Duels0.8

Win Impact2.6

Composite 2.2/10 (Learning), 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 rating-0.07−0.01

first ⅓ avg -0.06 → last ⅓ avg -0.07

Reaction time683ms−59ms

first ⅓ avg 742ms → last ⅓ avg 683ms

Headshot accuracy14.6%+5.3%

first ⅓ avg 9.3% → last ⅓ avg 14.6%

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

0.13Best rating — cache 4–0

13–1Biggest win — cache

5Longest win streak

5–5In matches decided by ≤2 rounds

4Overtime games

Map breakdown

dust2Best map · 67% over 6mirageWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	39	15–24	38%	-0.04
inferno	C	10	4–6	40%	-0.08
nuke	C	8	3–5	38%	-0.03
dust2	S	6	4–2	67%	-0.05
anubis	B	6	3–3	50%	-0.04
mirage	D	5	0–5	0%	-0.06
train	A	5	3–2	60%	-0.07
debris	C	5	2–3	40%	-0.11
ancient	C	5	2–3	40%	-0.06
office	—	4	1–3	25%	-0.08
eldorado	—	2	0–2	0%	-0.12
poseidon	—	1	0–1	0%	-0.13
boulder	—	1	0–1	0%	-0.10
shelter	—	1	0–1	0%	-0.08
italy	—	1	0–1	0%	-0.15
overpass	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.5%Headshot accuracy

31.7%Accuracy (enemy spotted)

30.6%Spray accuracy

67.0%Counter-strafing

14.5°Preaim

668msReaction time

15.2%T opening success

36.6%CT opening success

0.36Enemies flashed / flash

3.3%Flash assists

8.32HE damage / grenade

3.54Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 14.5189° — above the 12° mark we flag
Aim Training →
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 11.4665% — 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 0.3611 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–2	-0.04	0%	28 Aug →
inferno	1–13	-0.08	10%	28 Aug →
cache	6–13	-0.05	17%	23 Aug →
cache	13–8	-0.05	26%	23 Aug →
mirage	10–13	-0.08	19%	23 Aug →
cache	11–13	-0.02	12%	23 Aug →
cache	13–9	-0.07	7%	23 Aug →
nuke	9–13	-0.06	6%	23 Aug →
train	13–3	-0.06	9%	23 Aug →
train	12–12	-0.12	11%	16 Aug →
mirage	3–13	-0.07	6%	16 Aug →
anubis	13–16	-0.02	10%	16 Aug →
nuke	2–8	-0.04	13%	16 Aug →
dust2	13–7	-0.04	17%	16 Aug →
cache	3–13	-0.07	14%	16 Aug →
cache	6–13	-0.06	7%	16 Aug →
nuke	12–16	-0.09	10%	15 Aug →
dust2	16–13	-0.08	12%	15 Aug →
nuke	13–9	0.00	13%	15 Aug →
cache	13–11	0.00	16%	15 Aug →
anubis	13–9	-0.02	36%	15 Aug →
nuke	13–9	0.03	13%	15 Aug →
eldorado	2–9	-0.19	0%	15 Aug →
debris	1–9	-0.23	33%	15 Aug →
debris	9–1	-0.02	16%	15 Aug →
mirage	6–13	-0.06	13%	12 Aug →
train	13–7	-0.07	4%	12 Aug →
train	12–12	-0.06	10%	12 Aug →
inferno	8–13	-0.10	0%	7 Aug →
poseidon	6–9	-0.13	38%	2 Aug →
cache	7–13	-0.07	3%	2 Aug →
debris	9–6	-0.14	20%	2 Aug →
debris	5–9	-0.05	60%	26 Jul →
nuke	9–4	0.03	17%	26 Jul →
mirage	3–13	-0.04	8%	26 Jul →
anubis	13–11	-0.09	5%	26 Jul →
cache	10–13	-0.03	12%	26 Jul →
eldorado	6–9	-0.05	24%	26 Jul →
cache	7–13	-0.04	19%	25 Jul →
cache	9–13	0.03	17%	25 Jul →
mirage	4–13	-0.06	24%	25 Jul →
inferno	5–9	-0.06	8%	25 Jul →
dust2	2–13	-0.02	21%	24 Jul →
anubis	8–13	-0.05	24%	24 Jul →
anubis	6–1	0.01	25%	24 Jul →
anubis	5–13	-0.07	11%	24 Jul →
inferno	1–9	-0.19	0%	24 Jul →
inferno	9–6	0.04	13%	24 Jul →
cache	4–13	-0.07	36%	21 Jul →
cache	12–12	0.01	9%	20 Jul →
cache	13–9	0.02	17%	13 Jul →
debris	5–9	-0.11	10%	12 Jul →
nuke	1–6	-0.04	22%	12 Jul →
cache	12–12	-0.01	14%	12 Jul →
cache	12–12	-0.08	23%	12 Jul →
inferno	10–13	-0.11	13%	12 Jul →
ancient	12–12	-0.04	15%	12 Jul →
dust2	13–3	-0.03	17%	12 Jul →
boulder	11–13	-0.10	18%	11 Jul →
shelter	12–12	-0.08	23%	11 Jul →
cache	13–9	-0.03	24%	11 Jul →
office	13–11	-0.10	29%	11 Jul →
nuke	3–9	-0.03	25%	10 Jul →
office	8–13	-0.04	10%	10 Jul →
cache	7–13	0.06	26%	7 Jul →
cache	7–13	-0.08	6%	7 Jul →
cache	13–10	-0.01	15%	6 Jul →
cache	5–13	-0.11	14%	6 Jul →
cache	4–0	0.13	20%	6 Jul →
cache	1–13	-0.13	11%	2 Jul →
cache	11–13	0.02	33%	1 Jul →
cache	13–11	-0.08	14%	1 Jul →
cache	13–3	0.01	12%	27 Jun →
italy	4–5	-0.15	0%	27 Jun →
inferno	14–16	-0.11	0%	20 Jun →
office	3–13	-0.08	9%	20 Jun →
dust2	3–13	-0.08	13%	20 Jun →
overpass	13–8	-0.05	15%	20 Jun →
ancient	13–6	-0.08	0%	19 Jun →
train	13–6	-0.03	15%	19 Jun →
ancient	4–13	-0.07	0%	14 Jun →
inferno	4–1	-0.07	0%	14 Jun →
ancient	13–8	-0.06	14%	14 Jun →
inferno	13–8	-0.00	7%	14 Jun →
cache	13–3	-0.06	9%	14 Jun →
cache	9–5	-0.09	0%	14 Jun →
inferno	9–7	-0.14	6%	9 Jun →
cache	13–10	-0.00	6%	8 Jun →
cache	10–13	-0.08	8%	8 Jun →
cache	13–9	-0.04	13%	31 May →
cache	13–3	-0.06	0%	31 May →
cache	6–13	-0.06	6%	31 May →
cache	5–13	-0.10	13%	31 May →
ancient	10–13	-0.03	5%	26 May →
cache	13–2	-0.03	5%	25 May →
cache	13–1	0.00	13%	25 May →
office	8–13	-0.12	16%	25 May →
cache	2–13	-0.06	7%	25 May →
cache	10–13	-0.04	8%	25 May →
cache	9–13	-0.07	15%	25 May →