f3 — CS2 Stats

76561198004101131[U:1:43835403]VAC banned

967Tracked matches53%Win rate2021Tracked since

CSDB Rating6.1 SolidAggressive Rifler

Premier CS Rating21,704Top 50% of 29,473 CSDB-tracked playersPink band · top ~6.6% of ranked players (population est.)

CSDB Leaderboard#14451 of 49788 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning65

Utility30

0–100 skill scores via Leetify.

Recent form

HOT47–50–3Last 10047%Win rateWLWWWWLLWW

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

Player DNA

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

Aim7.1

Aggression10.0

Utility3.0

Positioning6.5

Opening Duels5.1

Clutch3.6

Limited utility dependence

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 sh1ro 85% playstyle similarity

Most alike: positioning profile, 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.

Reaction time. 609ms 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

Aim7.1

Positioning6.5

Utility3.0

Mechanics6.4

Opening Duels5.1

Win Impact6.1

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time614ms−44ms

first ⅓ avg 657ms → last ⅓ avg 614ms

Headshot accuracy17.8%+1.4%

first ⅓ avg 16.4% → last ⅓ avg 17.8%

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 — nuke 13–7

13–3Biggest win — mirage

5Longest win streak

10–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 62% over 13ancientWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	32	16–16	50%	0.01
nuke	A	16	9–7	56%	0.02
ancient	D	15	5–10	33%	0.00
mirage	B	15	7–8	47%	-0.00
anubis	A	13	8–5	62%	0.01
cache	—	3	1–2	33%	0.03
inferno	—	3	1–2	33%	-0.03
overpass	—	2	0–2	0%	-0.03
italy	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

143Matches

54%Win rate

1.18Avg K/D

97.5ADR

39%Headshot %

Clutches & streaks

38%1v1 clutch win

20%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	28	46%	1.19	18.3
Mirage	28	29%	1.02	18.3
Dust2	25	72%	1.31	18.8
Anubis	25	60%	1.10	18.0
Vertigo	13	85%	1.44	19.9
Nuke	10	50%	1.38	17.2
Inferno	5	20%	0.96	17.8
Overpass	4	75%	1.06	17.5

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.

18.0%Headshot accuracy

36.5%Accuracy (enemy spotted)

34.7%Spray accuracy

78.7%Counter-strafing

8.9°Preaim

609msReaction time

44.8%T opening success

56.0%CT opening success

0.40Enemies flashed / flash

5.9%Flash assists

9.88HE damage / grenade

2.75Flashes / 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.

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 0.4032 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–6	-0.00	19%	29 Aug →
dust2	6–13	-0.02	20%	24 Aug →
dust2	13–11	-0.06	11%	23 Aug →
anubis	16–12	-0.00	17%	23 Aug →
anubis	16–13	0.01	19%	22 Aug →
mirage	13–10	0.05	26%	22 Aug →
ancient	9–13	-0.05	22%	5 Aug →
nuke	6–13	0.04	29%	20 Jul →
nuke	13–7	0.06	18%	19 Jul →
nuke	13–7	0.18	22%	18 Jul →
anubis	13–6	0.09	26%	18 Jul →
mirage	13–6	0.05	17%	18 Jul →
nuke	13–9	0.01	23%	18 Jul →
dust2	2–13	-0.06	30%	18 Jul →
ancient	9–13	0.02	17%	18 Jul →
anubis	13–11	-0.00	32%	18 Jul →
mirage	5–13	-0.06	19%	15 Jul →
dust2	13–7	0.05	16%	15 Jul →
nuke	5–13	-0.07	6%	15 Jul →
nuke	13–11	-0.07	12%	13 Jul →
ancient	11–13	-0.02	4%	13 Jul →
nuke	11–13	0.02	17%	12 Jul →
ancient	11–13	0.02	11%	12 Jul →
dust2	16–12	0.08	22%	11 Jul →
ancient	10–13	0.05	17%	11 Jul →
dust2	13–10	0.00	8%	11 Jul →
cache	11–13	0.05	19%	11 Jul →
dust2	13–5	0.02	23%	11 Jul →
anubis	8–13	-0.06	9%	11 Jul →
nuke	4–13	-0.02	14%	11 Jul →
dust2	2–13	-0.01	16%	11 Jul →
ancient	8–13	0.00	11%	11 Jul →
cache	8–13	0.06	18%	11 Jul →
nuke	13–6	0.01	14%	10 Jul →
anubis	15–15	0.06	16%	10 Jul →
ancient	3–13	0.00	24%	10 Jul →
dust2	13–8	0.01	12%	10 Jul →
mirage	0–13	-0.07	3%	10 Jul →
dust2	13–8	0.13	19%	10 Jul →
ancient	13–10	-0.03	10%	10 Jul →
nuke	10–13	0.09	16%	10 Jul →
anubis	4–13	-0.02	23%	10 Jul →
inferno	13–8	0.05	25%	10 Jul →
inferno	7–13	-0.03	8%	9 Jul →
dust2	13–11	0.02	13%	9 Jul →
nuke	13–6	0.02	24%	8 Jul →
anubis	4–13	-0.00	9%	8 Jul →
anubis	7–13	-0.05	4%	6 Jul →
dust2	13–11	-0.01	13%	6 Jul →
nuke	15–15	-0.04	7%	4 Jul →
mirage	1–13	-0.02	12%	4 Jul →
ancient	8–13	0.03	15%	4 Jul →
dust2	10–13	0.04	18%	4 Jul →
dust2	8–13	-0.06	14%	3 Jul →
mirage	10–13	0.00	9%	3 Jul →
dust2	3–13	-0.04	15%	2 Jul →
dust2	13–6	0.08	14%	30 Jun →
ancient	13–6	0.03	13%	27 Jun →
inferno	0–13	-0.11	9%	27 Jun →
dust2	9–13	-0.03	6%	27 Jun →
mirage	13–9	-0.00	18%	27 Jun →
dust2	7–13	-0.02	16%	27 Jun →
mirage	13–8	0.09	18%	27 Jun →
ancient	13–10	0.04	17%	27 Jun →
dust2	10–13	-0.03	17%	27 Jun →
mirage	4–13	-0.02	14%	27 Jun →
anubis	13–11	0.01	16%	27 Jun →
overpass	5–13	-0.06	11%	27 Jun →
mirage	7–2	0.00	12%	27 Jun →
dust2	13–5	0.11	24%	27 Jun →
mirage	13–3	0.04	18%	27 Jun →
dust2	11–13	0.02	26%	26 Jun →
nuke	13–11	0.02	17%	26 Jun →
mirage	9–13	-0.07	13%	26 Jun →
ancient	4–13	-0.02	8%	26 Jun →
dust2	10–13	-0.03	28%	26 Jun →
mirage	7–13	-0.03	16%	25 Jun →
mirage	9–13	-0.03	12%	25 Jun →
dust2	5–13	0.06	18%	23 Jun →
dust2	8–2	-0.03	21%	23 Jun →
nuke	6–13	-0.04	0%	17 Jun →
anubis	13–8	0.06	8%	17 Jun →
anubis	13–11	0.02	17%	16 Jun →
dust2	13–5	0.08	18%	15 Jun →
dust2	16–13	0.01	10%	14 Jun →
nuke	16–14	0.04	12%	12 Jun →
dust2	15–15	-0.01	20%	1 Jun →
dust2	11–13	0.04	22%	30 May →
nuke	16–12	0.03	13%	27 May →
italy	9–13	-0.03	20%	25 May →
ancient	9–13	-0.05	15%	25 May →
dust2	13–10	-0.03	29%	25 May →
anubis	13–6	-0.01	18%	25 May →
overpass	10–13	-0.00	11%	24 May →
dust2	8–13	-0.05	21%	24 May →
cache	13–7	-0.02	23%	24 May →
dust2	11–13	-0.05	15%	23 May →
ancient	13–5	0.05	23%	23 May →
mirage	16–14	0.04	19%	23 May →
dust2	13–8	-0.00	4%	17 May →