FuTuWoRe — CS2 Stats

ES76561197963581707[U:1:3315979]Steam profile ↗

2,011Tracked matches47%Win rate2024Tracked since

3,135Hours in CS103Hrs last 2 wks

CSDB Rating3.7 Learning

Premier CS Rating17,247Purple band · top ~19.5% of ranked players (population est.)

CSDB Leaderboard#9285 of 16168 tracked

FaceitLevel 6 · 1,061 ELOTop 54.0% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim51

Positioning41

Utility49

0–100 skill scores via Leetify.

Recent form

COLD60–39–1Last 10060%Win rateLWLLLLLLLL

Last 10 vs previous 10: -60pp win rate · -0.01 avg rating

Player DNA

Aim5.1

Aggression3.1

Utility4.9

Positioning4.1

Opening Duels0.0

Clutch3.0

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 77% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

Counter-strafing. Only 57% 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

Aim5.1

Positioning4.1

Utility4.9

Mechanics1.5

Opening Duels0.0

Win Impact3.9

Composite 3.7/10 (Learning), 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 rating0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time523ms−50ms

first ⅓ avg 573ms → last ⅓ avg 523ms

Headshot accuracy14.5%−0.2%

first ⅓ avg 14.7% → last ⅓ avg 14.5%

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

0.15Best rating — mirage 13–1

13–0Biggest win — train

8Longest win streak

10–7In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 82% over 11dust2Weakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	32	17–15	53%	0.00
ancient	A	16	10–6	63%	0.01
dust2	C	15	6–9	40%	-0.01
anubis	A	11	7–4	64%	-0.01
nuke	S	11	9–2	82%	0.04
cache	S	6	4–2	67%	0.01
mirage	A	5	3–2	60%	0.02
vertigo	—	2	2–0	100%	0.06
train	—	1	1–0	100%	-0.02
office	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

85,217Lifetime kills

0.90K/D

5,383Matches

41.8%Match win rate

44.0%Headshot %

0.0%Shot accuracy

8,724MVPs

1,681Hours (in match)

3,371Bombs planted

1,409Bombs defused

Most-used weapons

AK-4723,660

M4A4 / M4A1-S23,439

Galil AR5,823

AWP4,683

P2000 / USP-S4,167

Glock-183,199

FAMAS2,238

MP92,100

P901,900

Tec-91,274

Lifetime map wins

9,171inferno

6,158dust2

5,141nuke

2,146train

1,974vertigo

177office

70ar_shoots

26ar_baggage

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

Faceit stats

Combat

585Matches

49%Win rate

0.92Avg K/D

73.4ADR

40%Headshot %

Clutches & streaks

35%1v1 clutch win

17%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	147	58%	0.99	14.2
Ancient	116	46%	0.87	13.7
Nuke	95	52%	0.95	14.1
Dust2	85	41%	0.86	13.9
Anubis	58	41%	0.93	13.4
Mirage	28	39%	0.91	12.6
Train	22	41%	0.79	12.9
Cache	20	60%	0.96	14.8

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.

14.4%Headshot accuracy

33.7%Accuracy (enemy spotted)

35.3%Spray accuracy

56.7%Counter-strafing

9.8°Preaim

520msReaction time

25.2%T opening success

28.9%CT opening success

0.36Enemies flashed / flash

3.8%Flash assists

9.07HE damage / grenade

7.32Flashes / 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 14.4212% — 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 0.357 — below the 0.5 mark we flag
Grenade Lineups →
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 25.1555% — 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.

40% win rate across 15 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
inferno	11–13	-0.06	11%	27 Aug →
ancient	13–11	0.03	14%	23 Aug →
anubis	7–13	-0.01	15%	23 Aug →
dust2	6–13	-0.02	22%	22 Aug →
mirage	14–16	0.03	13%	22 Aug →
inferno	9–13	0.05	14%	19 Aug →
dust2	14–16	-0.03	28%	19 Aug →
inferno	7–13	-0.04	8%	17 Aug →
inferno	9–13	-0.03	12%	16 Aug →
inferno	10–13	0.03	9%	15 Aug →
train	13–0	-0.02	14%	15 Aug →
dust2	7–13	-0.03	14%	15 Aug →
ancient	13–1	0.02	5%	14 Aug →
nuke	13–8	0.02	16%	14 Aug →
anubis	13–7	0.02	14%	13 Aug →
inferno	16–12	0.03	18%	9 Aug →
dust2	8–13	0.00	17%	8 Aug →
vertigo	13–4	0.04	7%	7 Aug →
ancient	13–8	-0.01	14%	6 Aug →
dust2	10–13	-0.08	3%	5 Aug →
ancient	13–6	-0.03	11%	5 Aug →
dust2	13–6	0.04	21%	5 Aug →
inferno	10–13	0.00	7%	5 Aug →
dust2	13–4	-0.07	15%	5 Aug →
ancient	13–11	-0.00	11%	4 Aug →
nuke	0–5	0.00	17%	2 Aug →
nuke	13–4	0.08	13%	2 Aug →
inferno	11–13	-0.01	12%	1 Aug →
anubis	8–13	0.01	29%	1 Aug →
inferno	13–11	-0.03	25%	1 Aug →
dust2	16–14	0.01	24%	1 Aug →
inferno	13–7	0.04	18%	1 Aug →
dust2	8–13	0.06	10%	1 Aug →
dust2	13–11	0.02	22%	31 Jul →
cache	13–7	0.05	20%	31 Jul →
mirage	6–13	-0.02	21%	31 Jul →
inferno	10–13	-0.00	12%	31 Jul →
cache	13–1	0.05	16%	31 Jul →
inferno	2–13	-0.01	29%	31 Jul →
nuke	13–1	0.07	19%	31 Jul →
anubis	13–5	0.02	13%	31 Jul →
ancient	13–11	0.05	12%	31 Jul →
nuke	13–10	0.02	18%	31 Jul →
inferno	13–9	-0.00	10%	30 Jul →
nuke	13–10	0.10	19%	30 Jul →
dust2	13–3	-0.02	22%	30 Jul →
nuke	13–10	-0.04	10%	30 Jul →
ancient	6–13	-0.09	16%	30 Jul →
anubis	13–7	0.03	10%	30 Jul →
nuke	13–9	0.11	22%	30 Jul →
vertigo	13–3	0.08	13%	30 Jul →
ancient	6–13	0.03	12%	29 Jul →
ancient	13–3	0.02	13%	29 Jul →
mirage	13–6	-0.03	10%	29 Jul →
dust2	11–13	-0.04	15%	29 Jul →
nuke	13–16	0.01	12%	29 Jul →
cache	13–9	0.05	8%	29 Jul →
inferno	13–5	-0.00	19%	29 Jul →
mirage	13–1	0.15	12%	28 Jul →
anubis	10–13	-0.05	11%	28 Jul →
ancient	11–13	0.07	15%	26 Jul →
inferno	16–13	0.03	19%	26 Jul →
inferno	16–13	0.03	11%	25 Jul →
anubis	13–5	-0.01	13%	25 Jul →
anubis	13–8	-0.02	6%	24 Jul →
inferno	13–6	-0.03	12%	24 Jul →
dust2	10–13	-0.00	7%	23 Jul →
inferno	13–11	-0.02	14%	23 Jul →
ancient	5–13	-0.05	5%	23 Jul →
nuke	16–13	0.04	15%	20 Jul →
inferno	5–13	-0.05	24%	20 Jul →
inferno	13–5	0.05	24%	20 Jul →
anubis	16–12	-0.05	14%	20 Jul →
inferno	9–13	-0.03	15%	19 Jul →
ancient	7–13	0.02	12%	19 Jul →
nuke	13–9	0.03	20%	19 Jul →
inferno	13–2	0.09	18%	19 Jul →
dust2	3–13	-0.03	16%	18 Jul →
ancient	13–4	0.04	13%	18 Jul →
cache	6–13	-0.04	20%	18 Jul →
ancient	13–10	0.07	18%	18 Jul →
inferno	13–11	0.02	10%	17 Jul →
inferno	13–9	0.02	12%	17 Jul →
dust2	13–9	0.05	14%	17 Jul →
inferno	4–13	-0.05	14%	15 Jul →
cache	4–13	-0.05	17%	14 Jul →
inferno	13–7	0.01	11%	14 Jul →
inferno	3–13	-0.05	13%	14 Jul →
inferno	15–15	0.01	19%	13 Jul →
ancient	11–13	-0.04	11%	13 Jul →
anubis	12–16	-0.06	11%	13 Jul →
inferno	13–3	0.05	16%	13 Jul →
inferno	10–13	0.05	16%	13 Jul →
cache	13–11	-0.01	11%	12 Jul →
anubis	13–10	-0.01	16%	12 Jul →
inferno	13–5	0.06	18%	12 Jul →
inferno	13–7	-0.01	7%	12 Jul →
office	13–9	0.06	18%	11 Jul →
ancient	13–11	0.04	12%	11 Jul →
mirage	13–8	-0.02	14%	11 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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