maVe — CS2 Stats

76561197968238191[U:1:7972463]Steam profile ↗✓ No bans

509Tracked matches36%Win rate2020Tracked since

CSDB Rating4.3 DevelopingPositional Player

Ladder ranks via Leetify

Performance scores

Aim59

Positioning52

Utility39

0–100 skill scores via Leetify.

Recent form

COLD39–55–6Last 10039%Win rateLLLLWWLLTL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −8.8pp headshot accuracy · −32ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating -0.05
Avg headshot accuracy 12%
Avg reaction 516ms

Last 10

2–7–1 · 20% win rate
Avg rating -0.04
Avg headshot accuracy 12%
Avg reaction 547ms

Last 20

4–14–2 · 20% win rate
Avg rating -0.04
Avg headshot accuracy 17%
Avg reaction 563ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2 against its own average).

Aim5.9

Utility3.9

Positioning5.2

Opening Duels0.6

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 83% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Reaction time. 574ms 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

Aim5.9

Positioning5.2

Utility3.9

Mechanics4.9

Opening Duels1.5

Win Impact0.2

Composite 4.3/10 (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 rating-0.03+0.01

first ⅓ avg -0.04 → last ⅓ avg -0.03

Reaction time577ms−92ms

first ⅓ avg 669ms → last ⅓ avg 577ms

Headshot accuracy17.1%+1.3%

first ⅓ avg 15.8% → last ⅓ avg 17.1%

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.

Personal bests

0.07Best match rating · 13–6 · cache, 7 Jul →

50%Best headshot accuracy · 7–13 · dust2, 22 Sept →

406msFastest reaction time · 7–13 · ancient, 7 Oct →

13–2Biggest win · cache, 7 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

L4Current streak

7–5In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 57% over 7vertigoWeakest map · 11% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	25	13–12	52%	-0.03
cache	A	22	12–10	55%	-0.00
nuke	C	10	4–6	40%	-0.03
vertigo	D	9	1–8	11%	-0.07
dust2	D	9	2–7	22%	-0.02
anubis	A	7	4–3	57%	0.00
overpass	D	7	1–6	14%	-0.07
ancient	D	6	2–4	33%	-0.04
train	—	3	0–3	0%	-0.08
mirage	—	2	0–2	0%	-0.01

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Vertigo 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.

17.9%Headshot accuracy

31.4%Accuracy (enemy spotted)

32.7%Spray accuracy

71.9%Counter-strafing

8.9°Preaim

574msReaction time

34.4%T opening success

37.5%CT opening success

0.46Enemies flashed / flash

3.0%Flash assists

8.04HE damage / grenade

2.52Flashes / 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 0.4622 — 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 34.4209% — below the 40% mark we flag

Spend your practice time on Vertigo

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.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	6–13	-0.11	8%	10 Oct →
dust2	6–13	-0.04	11%	10 Oct →
ancient	7–13	-0.01	16%	7 Oct →
inferno	11–13	-0.04	12%	7 Oct →
cache	13–2	-0.05	14%	7 Oct →
inferno	13–10	-0.02	16%	5 Oct →
vertigo	1–13	-0.11	15%	5 Oct →
cache	11–13	0.01	21%	5 Oct →
inferno	12–12	0.01	11%	29 Sept →
ancient	0–13	-0.06	0%	25 Sept →
vertigo	11–13	-0.02	20%	25 Sept →
inferno	9–13	-0.07	17%	25 Sept →
anubis	11–13	-0.03	17%	25 Sept →
dust2	6–13	-0.02	18%	25 Sept →
cache	6–13	0.01	24%	25 Sept →
anubis	13–7	-0.02	15%	22 Sept →
cache	10–13	-0.01	18%	22 Sept →
dust2	7–13	-0.03	50%	22 Sept →
inferno	13–11	0.01	18%	21 Sept →
vertigo	12–12	-0.09	14%	21 Sept →
ancient	13–10	0.01	18%	21 Sept →
cache	13–11	-0.01	15%	21 Sept →
inferno	13–9	-0.03	18%	14 Sept →
vertigo	13–8	-0.03	25%	14 Sept →
nuke	13–7	0.01	26%	14 Sept →
nuke	5–13	-0.07	16%	6 Sept →
cache	13–8	0.01	18%	6 Sept →
ancient	2–13	-0.06	18%	6 Sept →
overpass	10–13	-0.03	15%	26 Aug →
inferno	8–13	0.00	22%	20 Aug →
nuke	12–12	0.01	20%	20 Aug →
cache	9–13	-0.04	4%	20 Aug →
cache	13–3	-0.00	15%	22 Jul →
ancient	8–13	-0.01	11%	21 Jul →
cache	12–12	0.04	10%	16 Jul →
anubis	8–13	-0.01	10%	16 Jul →
overpass	12–12	-0.05	8%	14 Jul →
cache	13–10	0.02	13%	14 Jul →
inferno	13–8	-0.01	10%	14 Jul →
vertigo	10–13	-0.08	11%	14 Jul →
anubis	13–3	0.05	24%	13 Jul →
inferno	7–13	-0.06	16%	13 Jul →
cache	13–5	-0.04	21%	13 Jul →
vertigo	7–13	-0.08	18%	13 Jul →
inferno	8–13	-0.06	30%	10 Jul →
mirage	4–13	-0.02	20%	10 Jul →
anubis	13–11	0.04	13%	10 Jul →
vertigo	6–13	-0.09	15%	9 Jul →
inferno	13–8	-0.03	20%	9 Jul →
cache	10–13	-0.01	21%	9 Jul →
inferno	13–10	-0.02	18%	7 Jul →
cache	13–6	0.07	18%	7 Jul →
nuke	13–7	-0.05	11%	6 Jul →
cache	9–13	-0.04	18%	6 Jul →
train	3–13	-0.09	10%	25 Jun →
inferno	13–11	-0.03	13%	27 May →
inferno	2–0	0.00	0%	27 May →
cache	13–6	-0.02	14%	27 May →
dust2	8–13	-0.02	24%	26 May →
nuke	8–13	-0.04	26%	25 May →
dust2	13–2	0.03	20%	25 May →
inferno	9–13	0.02	28%	24 May →
cache	11–13	0.01	16%	24 May →
inferno	13–6	-0.03	12%	21 May →
cache	13–10	-0.02	28%	21 May →
dust2	5–13	-0.05	21%	19 May →
nuke	12–12	-0.01	25%	18 May →
cache	13–8	-0.01	18%	18 May →
inferno	13–9	-0.02	23%	17 May →
cache	13–7	0.05	18%	17 May →
dust2	13–10	0.06	18%	9 May →
cache	13–7	0.02	11%	9 May →
cache	10–13	-0.04	13%	29 Apr →
cache	3–13	-0.02	18%	29 Apr →
anubis	13–9	0.03	20%	27 Apr →
overpass	13–7	-0.10	21%	27 Apr →
train	6–13	-0.08	6%	27 Apr →
nuke	13–11	-0.01	16%	23 Apr →
inferno	4–13	-0.07	23%	23 Apr →
inferno	5–13	-0.04	6%	21 Apr →
overpass	2–8	-0.14	6%	21 Apr →
nuke	13–9	-0.03	19%	21 Apr →
overpass	10–13	-0.09	7%	19 Apr →
ancient	13–11	-0.10	19%	19 Apr →
nuke	9–13	-0.07	11%	19 Apr →
overpass	5–13	-0.07	14%	17 Apr →
inferno	5–13	-0.05	15%	17 Apr →
inferno	13–5	-0.04	9%	7 Apr →
nuke	7–13	-0.04	16%	20 Mar →
overpass	8–13	-0.04	21%	20 Mar →
dust2	9–13	-0.06	11%	20 Mar →
inferno	9–13	-0.06	14%	20 Feb →
dust2	9–13	-0.00	26%	20 Feb →
train	4–13	-0.07	7%	22 Dec →
anubis	4–13	-0.04	22%	19 Dec →
inferno	13–7	-0.03	19%	19 Dec →
vertigo	7–13	-0.02	25%	25 Nov →
inferno	13–10	-0.06	15%	25 Nov →
inferno	6–13	-0.06	22%	23 Nov →
mirage	4–13	-0.00	14%	23 Nov →