vulpe — CS2 Stats

76561198077872261[U:1:117606533]

644Tracked matches50%Win rate2020Tracked since

1,294Hours in CS3Hrs last 2 wks

CSDB Rating4.6 Developing

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim53

Positioning46

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY47–52–1Last 10047%Win rateWWLWWLLWLW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Aim5.3

Aggression3.9

Utility5.4

Positioning4.6

Opening Duels0.4

Clutch0.0

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 82% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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 40% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 580ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim5.3

Positioning4.6

Utility5.4

Mechanics4.4

Opening Duels1.2

Win Impact5.0

Composite 4.6/10 (Developing), 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+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time575ms−84ms

first ⅓ avg 659ms → last ⅓ avg 575ms

Headshot accuracy13.4%+1.6%

first ⅓ avg 11.9% → last ⅓ avg 13.4%

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 — cache 13–3

13–1Biggest win — anubis

4Longest win streak

W2Current streak

9–6In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 67% over 15ancientWeakest map · 11% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	18	11–7	61%	-0.02
inferno	D	17	5–12	29%	0.00
anubis	A	15	9–6	60%	-0.01
nuke	S	15	10–5	67%	0.03
ancient	D	9	1–8	11%	-0.00
mirage	B	8	4–4	50%	0.02
vertigo	B	6	3–3	50%	0.01
overpass	D	6	1–5	17%	-0.04
cache	—	3	2–1	67%	0.02
train	—	3	1–2	33%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,287Lifetime kills

1.04K/D

1,994Matches

64.0%Match win rate · Top 5% of tracked players

40.2%Headshot %

11.1%Shot accuracy

5,580MVPs

543Hours (in match)

2,506Bombs planted

547Bombs defused

Most-used weapons

AK-474,555

M4A4 / M4A1-S2,830

P2000 / USP-S1,569

AWP1,462

Glock-181,316

MP71,151

Desert Eagle992

SSG 08773

UMP-45665

P250591

Lifetime map wins

1,783inferno

1,442nuke

1,339train

1,056vertigo

637dust2

238office

191cbble

113italy

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

Faceit stats

Combat

54Matches

50%Win rate

0.83Avg K/D

68.7ADR

36%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	18	56%	0.88	10.9
Anubis	10	50%	0.86	12.0
Inferno	5	40%	0.74	12.4
Overpass	5	80%	1.27	13.6
Ancient	4	50%	1.01	13.5
Nuke	1	0%	0.44	7.0
Train	1	0%	0.50	7.0
Mirage	1	0%	0.80	12.0

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.

13.2%Headshot accuracy

34.1%Accuracy (enemy spotted)

35.9%Spray accuracy

70.0%Counter-strafing

10.5°Preaim

580msReaction time

23.7%T opening success

39.8%CT opening success

0.48Enemies flashed / flash

6.0%Flash assists

8.82HE damage / grenade

14.24Flashes / 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 13.1898% — 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 0.4823 — 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 23.7305% — below the 40% mark we flag

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.

11% win rate across 9 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
anubis	16–14	0.02	14%	23 Aug →
anubis	13–1	-0.05	14%	23 Aug →
vertigo	10–13	-0.02	16%	17 Aug →
anubis	13–9	-0.05	17%	17 Aug →
cache	13–3	0.15	14%	12 Aug →
ancient	7–13	-0.02	10%	10 Aug →
train	6–13	-0.05	10%	10 Aug →
cache	13–7	-0.02	17%	10 Aug →
inferno	11–13	-0.00	14%	8 Aug →
nuke	11–2	-0.04	25%	8 Aug →
anubis	8–13	-0.06	6%	5 Aug →
inferno	2–13	0.00	13%	5 Aug →
overpass	4–13	-0.01	17%	5 Aug →
ancient	2–13	0.01	13%	1 Aug →
mirage	4–13	0.01	18%	1 Aug →
anubis	13–3	0.02	14%	1 Aug →
dust2	6–13	-0.03	12%	1 Aug →
ancient	13–4	-0.01	19%	28 Jul →
anubis	13–6	0.06	12%	28 Jul →
nuke	7–13	-0.03	11%	28 Jul →
train	11–13	0.02	15%	28 Jul →
inferno	13–4	0.06	12%	28 Jul →
nuke	13–2	0.12	14%	28 Jul →
dust2	13–6	0.03	17%	28 Jul →
inferno	5–13	0.06	8%	25 Jul →
nuke	13–11	0.05	7%	24 Jul →
anubis	9–13	0.02	6%	24 Jul →
train	13–6	-0.00	3%	24 Jul →
ancient	7–13	0.11	19%	24 Jul →
dust2	13–3	0.06	13%	23 Jul →
cache	2–13	-0.07	12%	23 Jul →
anubis	7–13	0.02	20%	23 Jul →
nuke	13–10	0.05	10%	23 Jul →
ancient	5–13	-0.07	13%	23 Jul →
inferno	0–13	-0.09	25%	23 Jul →
nuke	12–12	-0.02	15%	18 Jul →
vertigo	13–8	0.07	14%	17 Jul →
anubis	3–13	-0.06	9%	17 Jul →
nuke	8–13	0.01	23%	17 Jul →
nuke	13–7	0.09	16%	12 Jul →
dust2	8–13	-0.00	10%	12 Jul →
vertigo	10–13	0.03	20%	12 Jul →
nuke	5–13	0.05	14%	12 Jul →
vertigo	13–8	0.05	9%	7 Jun →
inferno	4–0	0.08	7%	7 Jun →
inferno	10–13	0.02	15%	6 Jun →
vertigo	13–4	0.04	8%	6 Jun →
inferno	5–13	-0.03	19%	19 Mar →
inferno	13–16	0.03	7%	5 Mar →
nuke	13–9	0.07	18%	24 Feb →
vertigo	4–13	-0.09	4%	20 Feb →
anubis	6–13	-0.04	14%	20 Feb →
dust2	13–11	-0.08	21%	17 Feb →
dust2	7–13	-0.07	20%	17 Feb →
nuke	13–8	-0.03	10%	12 Feb →
inferno	13–11	0.01	15%	12 Feb →
anubis	11–13	-0.00	11%	8 Feb →
mirage	0–13	-0.07	6%	8 Feb →
nuke	13–7	0.00	16%	8 Feb →
dust2	13–11	0.08	8%	8 Feb →
inferno	9–13	-0.03	18%	6 Feb →
anubis	13–8	-0.08	12%	6 Feb →
overpass	9–13	-0.06	8%	6 Feb →
inferno	10–13	-0.04	14%	6 Feb →
overpass	11–13	0.03	9%	4 Feb →
inferno	10–0	-0.00	17%	4 Feb →
dust2	10–13	-0.03	13%	4 Feb →
dust2	13–11	-0.03	14%	2 Feb →
mirage	13–4	0.02	11%	2 Feb →
anubis	13–6	0.05	10%	2 Feb →
ancient	7–13	0.04	11%	31 Jan →
nuke	13–5	-0.03	4%	31 Jan →
mirage	4–13	-0.04	2%	31 Jan →
mirage	13–3	0.00	9%	31 Jan →
dust2	13–5	-0.09	10%	31 Jan →
mirage	13–6	0.14	12%	30 Jan →
anubis	13–2	0.04	8%	30 Jan →
inferno	11–13	-0.02	17%	30 Jan →
anubis	13–10	-0.01	16%	20 Jan →
mirage	13–5	0.06	9%	18 Jan →
dust2	12–8	-0.04	9%	18 Jan →
inferno	13–10	0.06	13%	18 Jan →
ancient	9–13	0.01	18%	18 Jan →
dust2	13–11	0.02	16%	18 Jan →
dust2	16–14	-0.03	7%	18 Jan →
overpass	16–14	-0.04	7%	18 Jan →
nuke	13–6	0.10	13%	18 Jan →
dust2	4–13	0.03	15%	17 Jan →
overpass	6–13	-0.03	8%	17 Jan →
mirage	9–13	0.01	9%	16 Jan →
ancient	10–13	-0.05	16%	16 Jan →
overpass	7–13	-0.10	7%	16 Jan →
dust2	13–5	-0.02	18%	16 Jan →
dust2	13–10	-0.04	11%	15 Jan →
ancient	6–13	-0.05	10%	15 Jan →
dust2	2–13	-0.10	27%	14 Jan →
inferno	11–13	-0.01	14%	14 Jan →
dust2	10–13	0.02	8%	13 Jan →
inferno	2–13	-0.09	25%	13 Jan →
nuke	9–13	-0.02	7%	13 Jan →