maVe — CS2 Stats

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

533Tracked matches42%Win rate2020Tracked since

CSDB Rating4.3 DevelopingPositional Player

Ladder ranks via Leetify

Performance scores

Aim50

Positioning51

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY42–48–10Last 10042%Win rateLLWWWWLLLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −7.0pp headshot accuracy · −49ms 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

3–2 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 13%
Avg reaction 524ms

Last 10

4–6 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 13%
Avg reaction 563ms

Last 20

8–8–4 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 17%
Avg reaction 587ms

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 (+1.7 against its own average).

Aim5.0

Utility3.7

Positioning5.1

Opening Duels1.3

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 iM 84% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 578ms 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

Aim5.0

Positioning5.1

Utility3.7

Mechanics5.4

Opening Duels1.7

Win Impact2.4

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 -0.02 → last ⅓ avg -0.03

Reaction time574ms−51ms

first ⅓ avg 625ms → last ⅓ avg 574ms

Headshot accuracy16.1%−2.0%

first ⅓ avg 18.1% → last ⅓ avg 16.1%

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 →

367msFastest reaction time · 3–13 · nuke, 26 Oct →

13–2Biggest win · cache, 7 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

L2Current streak

7–5In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 52% over 23vertigoWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	30	15–15	50%	-0.01
inferno	B	23	12–11	52%	-0.02
nuke	C	10	4–6	40%	-0.03
anubis	C	9	4–5	44%	-0.01
dust2	C	8	3–5	38%	-0.01
vertigo	D	8	1–7	13%	-0.08
ancient	D	6	2–4	33%	-0.02
overpass	—	3	1–2	33%	-0.06
train	—	2	0–2	0%	-0.06
mirage	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (13% over 8). 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.

16.3%Headshot accuracy

29.8%Accuracy (enemy spotted)

30.8%Spray accuracy

74.1%Counter-strafing

10.2°Preaim

578msReaction time

41.4%T opening success

32.4%CT opening success

0.42Enemies flashed / flash

1.8%Flash assists

7.43HE damage / grenade

3.00Flashes / 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 0.4239 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 32.4014% — 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.

13% win rate across 8 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
inferno	9–13	-0.01	11%	29 Oct →
cache	6–13	-0.02	12%	29 Oct →
cache	13–6	0.02	14%	27 Oct →
ancient	13–11	-0.02	15%	27 Oct →
inferno	13–6	-0.01	15%	27 Oct →
inferno	13–8	0.03	11%	26 Oct →
nuke	3–13	-0.10	8%	26 Oct →
cache	10–13	-0.06	16%	26 Oct →
train	7–13	-0.04	17%	26 Oct →
cache	3–13	-0.08	12%	24 Oct →
anubis	4–13	-0.06	9%	24 Oct →
inferno	12–12	-0.02	16%	22 Oct →
cache	12–12	0.01	17%	22 Oct →
nuke	6–2	0.04	15%	22 Oct →
anubis	12–12	-0.02	38%	19 Oct →
dust2	13–4	-0.03	36%	19 Oct →
inferno	12–12	0.00	24%	19 Oct →
cache	13–6	0.01	17%	19 Oct →
nuke	13–11	-0.05	13%	19 Oct →
anubis	7–13	-0.06	16%	18 Oct →
nuke	7–13	-0.03	24%	18 Oct →
cache	13–9	0.00	13%	18 Oct →
inferno	10–13	-0.04	12%	18 Oct →
cache	10–13	0.01	24%	18 Oct →
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 →