fish — CS2 Stats

76561198019091972[U:1:58826244]Steam profile ↗✓ No bans

447Tracked matches33%Win rate2020Tracked since

2,660Hours in CS28Hrs last 2 wks

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating16,418Purple band · top ~22.8% of ranked players (population est.)

CSDB Leaderboard#14109 of 23984 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=862), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 6 median	Level 7 median	vs Level 7
Headshot rate	55.8%	44.9%	46.2%	above
Shot accuracy	18.5%	11.8%	12.5%	above
Kill/death ratio	1.34	1.04	1.06	above
Match win rate	33.2%	45.3%	45.9%	12.7% short

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim84

Positioning66

Utility62

0–100 skill scores via Leetify.

Recent form

COLD48–51–1Last 10048%Win rateLLWLLLLLWL

Last 10 vs previous 10: -20pp win rate · +0.03 avg rating

Player DNA

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

Aim8.4

Aggression9.0

Utility6.2

Positioning6.6

Opening Duels5.1

Clutch6.2

Excellent counter-strafing

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 donk 95% playstyle similarity

Most alike: opening-fight frequency, 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

Preaim. Mechanical aim is strong but the crosshair sits 10.9° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 593ms 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

Aim8.4

Positioning6.6

Utility6.2

Mechanics8.4

Opening Duels5.1

Win Impact0.0

Composite 6.5/10 (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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time599ms+0ms

first ⅓ avg 598ms → last ⅓ avg 599ms

Headshot accuracy27.2%+2.3%

first ⅓ avg 24.9% → last ⅓ avg 27.2%

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

0.18Best rating — inferno 9–4

13–3Biggest win — cache

6Longest win streak

L2Current streak

7–14In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 61% over 23infernoWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	23	14–9	61%	0.02
dust2	C	17	7–10	41%	-0.00
mirage	B	17	9–8	53%	0.02
ancient	B	12	6–6	50%	0.03
inferno	D	10	3–7	30%	-0.03
nuke	C	9	4–5	44%	0.01
anubis	B	8	4–4	50%	0.02
vertigo	—	2	0–2	0%	0.00
train	—	1	0–1	0%	-0.03
italy	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

86,973Lifetime kills

1.34K/D · Top 10% of Level 6 players

3,606Matches

33.2%Match win rate

55.8%Headshot % · Top 25% of Level 6 players

18.5%Shot accuracy · Top 10% of Level 6 players

7,625MVPs

2,601Hours (in match)

3,619Bombs planted

1,040Bombs defused

Most-used weapons

AK-4741,353

M4A4 / M4A1-S15,744

AWP8,909

P2000 / USP-S6,727

Glock-182,404

Desert Eagle2,333

P901,193

Galil AR1,011

P250914

Tec-9911

Lifetime map wins

4,421dust2

1,878inferno

692nuke

391cbble

376train

209italy

164vertigo

84dust

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

110Matches

44%Win rate

1.33Avg K/D

85.0ADR

50%Headshot %

Clutches & streaks

51%1v1 clutch win

30%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	19	53%	1.72	15.8
Cache	12	58%	1.47	20.3
Dust2	10	60%	1.60	18.5
Ancient	6	50%	1.28	16.0
Nuke	5	60%	1.54	16.0
Anubis	4	50%	1.14	17.0
Vertigo	2	50%	1.85	17.5
Inferno	2	50%	1.38	22.5

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.

27.5%Headshot accuracy

36.4%Accuracy (enemy spotted)

37.3%Spray accuracy

88.0%Counter-strafing

10.9°Preaim

593msReaction time

45.5%T opening success

55.2%CT opening success

0.58Enemies flashed / flash

6.2%Flash assists

11.84HE damage / grenade

12.61Flashes / match

Recommended for you

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.

30% win rate across 10 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
cache	2–13	0.02	40%	27 Aug →
dust2	11–13	0.02	34%	26 Aug →
cache	13–8	0.11	31%	25 Aug →
mirage	10–13	0.04	26%	24 Aug →
mirage	7–13	0.03	26%	24 Aug →
dust2	11–13	0.07	15%	23 Aug →
cache	11–13	0.08	27%	22 Aug →
inferno	10–13	-0.01	23%	21 Aug →
mirage	13–8	0.09	25%	20 Aug →
train	11–13	-0.03	30%	20 Aug →
nuke	13–7	0.03	23%	18 Aug →
cache	13–4	0.07	23%	18 Aug →
mirage	13–10	0.07	25%	18 Aug →
nuke	10–13	0.01	20%	17 Aug →
dust2	17–19	-0.04	28%	16 Aug →
dust2	13–9	-0.00	27%	15 Aug →
inferno	10–13	-0.08	19%	15 Aug →
ancient	9–13	0.01	25%	14 Aug →
mirage	7–13	0.03	46%	13 Aug →
vertigo	11–13	-0.01	27%	13 Aug →
nuke	0–5	-0.02	20%	13 Aug →
cache	1–13	-0.07	42%	13 Aug →
ancient	13–16	0.07	41%	13 Aug →
dust2	13–11	0.03	23%	11 Aug →
ancient	13–9	0.06	25%	11 Aug →
dust2	8–13	-0.02	19%	8 Aug →
inferno	1–9	-0.28	15%	8 Aug →
inferno	9–4	-0.02	35%	8 Aug →
inferno	9–4	0.18	21%	8 Aug →
dust2	13–9	-0.03	21%	7 Aug →
italy	13–9	0.03	38%	6 Aug →
ancient	9–13	-0.04	21%	6 Aug →
cache	7–13	-0.03	38%	5 Aug →
inferno	3–13	-0.11	22%	5 Aug →
nuke	14–16	-0.04	30%	5 Aug →
inferno	14–16	-0.04	42%	4 Aug →
anubis	11–13	-0.00	23%	4 Aug →
mirage	11–13	-0.01	19%	4 Aug →
cache	13–10	-0.00	13%	4 Aug →
dust2	13–11	0.00	27%	4 Aug →
anubis	6–13	0.03	22%	4 Aug →
nuke	13–9	0.04	22%	3 Aug →
cache	13–7	0.00	20%	3 Aug →
mirage	7–13	-0.03	26%	3 Aug →
dust2	16–13	0.00	19%	3 Aug →
mirage	13–16	0.02	27%	3 Aug →
mirage	7–13	0.00	31%	3 Aug →
cache	13–4	0.05	22%	2 Aug →
cache	13–11	0.11	20%	2 Aug →
cache	7–13	-0.02	28%	1 Aug →
cache	12–12	0.03	21%	31 Jul →
cache	13–5	0.11	33%	31 Jul →
ancient	13–10	-0.01	16%	31 Jul →
dust2	13–6	0.00	14%	30 Jul →
nuke	13–7	0.02	22%	30 Jul →
ancient	13–7	-0.00	30%	30 Jul →
mirage	13–11	0.00	26%	30 Jul →
inferno	11–13	-0.09	27%	30 Jul →
ancient	14–16	0.01	23%	30 Jul →
anubis	13–7	0.13	30%	29 Jul →
dust2	7–13	0.00	19%	29 Jul →
cache	6–13	0.05	37%	29 Jul →
cache	13–10	-0.02	21%	29 Jul →
nuke	8–13	-0.03	36%	29 Jul →
mirage	13–6	0.01	21%	29 Jul →
anubis	10–13	0.03	33%	29 Jul →
cache	13–10	0.02	24%	28 Jul →
cache	13–9	0.00	30%	28 Jul →
mirage	13–8	-0.02	37%	27 Jul →
anubis	13–11	-0.01	22%	26 Jul →
cache	13–3	0.05	28%	26 Jul →
dust2	10–13	-0.02	12%	26 Jul →
mirage	13–10	0.01	16%	26 Jul →
dust2	3–13	-0.03	38%	26 Jul →
cache	13–10	-0.02	15%	26 Jul →
nuke	13–4	0.06	27%	25 Jul →
mirage	13–3	0.02	18%	25 Jul →
dust2	8–13	0.00	35%	25 Jul →
cache	3–13	-0.03	23%	24 Jul →
dust2	4–13	-0.04	21%	24 Jul →
mirage	13–8	0.04	48%	24 Jul →
ancient	9–13	-0.03	19%	23 Jul →
cache	13–8	0.08	22%	23 Jul →
cache	13–11	0.01	20%	23 Jul →
inferno	11–13	0.10	19%	23 Jul →
dust2	9–13	-0.01	25%	22 Jul →
anubis	11–13	-0.00	32%	22 Jul →
vertigo	3–13	0.01	19%	21 Jul →
ancient	13–10	0.10	29%	21 Jul →
anubis	13–7	0.01	33%	20 Jul →
mirage	13–6	0.01	13%	20 Jul →
anubis	13–5	0.00	26%	20 Jul →
ancient	5–13	-0.00	19%	20 Jul →
cache	1–13	-0.10	27%	19 Jul →
ancient	13–3	0.08	26%	19 Jul →
inferno	13–6	0.02	23%	18 Jul →
ancient	13–8	0.10	40%	18 Jul →
dust2	13–11	0.00	23%	18 Jul →
nuke	6–13	0.01	21%	18 Jul →
mirage	8–13	-0.04	16%	17 Jul →