Ambrella — CS2 Stats

76561198855677091[U:1:895411363]✓ No bans

151Tracked matches30%Win rate2021Tracked since

153Hours in CS

CSDB Rating2.5 Learning

Ladder ranks via Leetify

Performance scores

Aim28

Positioning24

Utility0

0–100 skill scores via Leetify.

Recent form

COLD21–73–6Last 10021%Win rateWLLLTLLWWL

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

Player DNA

Aim2.8

Aggression0.8

Utility0.0

Positioning2.4

Opening Duels0.0

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 55% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 779ms 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

Aim2.8

Positioning2.4

Utility0.0

Mechanics7.9

Opening Duels0.0

Win Impact0.0

Composite 2.5/10 (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 rating-0.06+0.03

first ⅓ avg -0.09 → last ⅓ avg -0.06

Reaction time770ms−72ms

first ⅓ avg 842ms → last ⅓ avg 770ms

Headshot accuracy13.9%+2.5%

first ⅓ avg 11.4% → last ⅓ avg 13.9%

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

0.02Best rating — mirage 10–13

13–3Biggest win — dust2

2Longest win streak

3–4In matches decided by ≤2 rounds

2Overtime games

Map breakdown

dust2Best map · 31% over 13ancientWeakest map · 8% over 12

Map	Grade	Played	Record	Win rate	Avg rating
nuke	D	15	3–12	20%	-0.08
dust2	D	13	4–9	31%	-0.07
ancient	D	12	1–11	8%	-0.06
mirage	D	11	2–9	18%	-0.07
inferno	D	11	3–8	27%	-0.08
overpass	D	10	3–7	30%	-0.08
vertigo	D	5	1–4	20%	-0.08
grail	—	4	1–3	25%	-0.08
office	—	4	1–3	25%	-0.07
train	—	4	1–3	25%	-0.09
mills	—	4	0–4	0%	-0.08
italy	—	2	0–2	0%	-0.10
warden	—	1	0–1	0%	-0.07
anubis	—	1	0–1	0%	-0.05
jura	—	1	1–0	100%	-0.04
basalt	—	1	0–1	0%	-0.05
cache	—	1	0–1	0%	-0.18

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

3,801Lifetime kills

0.46K/D

524Matches

31.1%Match win rate

37.2%Headshot %

14.3%Shot accuracy · Top 50% of tracked players

510MVPs

153Hours (in match)

343Bombs planted

43Bombs defused

Most-used weapons

AUG685

SG 553657

M4A4 / M4A1-S454

MP9335

P2000 / USP-S265

Glock-18229

AK-47223

MAC-10127

Galil AR116

MP7116

Lifetime map wins

500nuke

450vertigo

341dust2

208inferno

128train

92lake

73office

57cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.0%Headshot accuracy

25.9%Accuracy (enemy spotted)

25.7%Spray accuracy

85.7%Counter-strafing

10.0°Preaim

779msReaction time

17.6%T opening success

23.4%CT opening success

0.00Enemies flashed / flash

0.0%Flash assists

0.00HE damage / grenade

0.00Flashes / 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.

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 13.9805% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 779.0451ms — above the 700ms 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 — 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.

8% win rate across 12 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
dust2	13–3	-0.07	0%	3 Mar →
ancient	10–13	-0.06	25%	1 Mar →
warden	6–13	-0.07	5%	27 Feb →
anubis	5–13	-0.05	13%	27 Feb →
mirage	12–12	-0.06	12%	25 Feb →
ancient	5–13	-0.05	6%	25 Feb →
ancient	1–7	-0.01	33%	25 Feb →
dust2	13–7	-0.06	15%	25 Feb →
ancient	13–10	-0.02	27%	24 Feb →
nuke	6–13	-0.11	5%	24 Feb →
overpass	5–13	-0.06	26%	24 Feb →
ancient	8–13	-0.08	14%	24 Feb →
mirage	8–2	-0.07	18%	24 Feb →
inferno	13–7	-0.03	21%	24 Feb →
nuke	11–13	-0.08	5%	24 Feb →
dust2	7–13	-0.12	15%	24 Feb →
inferno	13–9	-0.09	7%	24 Feb →
overpass	3–13	-0.07	6%	23 Feb →
nuke	13–5	-0.03	4%	23 Feb →
ancient	4–13	-0.14	6%	23 Feb →
dust2	12–12	-0.08	10%	23 Feb →
dust2	5–13	-0.05	20%	23 Nov →
vertigo	10–13	-0.04	3%	23 Nov →
grail	5–13	-0.09	18%	27 Aug →
mirage	5–13	-0.06	17%	26 Aug →
inferno	5–13	-0.09	13%	26 Aug →
ancient	12–12	-0.01	12%	26 Aug →
nuke	2–13	-0.06	23%	26 Aug →
overpass	13–11	-0.07	32%	25 Aug →
mirage	8–13	-0.07	17%	25 Aug →
inferno	14–16	-0.06	13%	24 Aug →
overpass	6–1	-0.03	0%	24 Aug →
ancient	13–16	-0.05	18%	24 Aug →
dust2	7–13	-0.08	13%	24 Aug →
nuke	13–10	-0.01	52%	24 Aug →
overpass	5–13	-0.04	29%	24 Aug →
dust2	13–6	-0.07	19%	23 Aug →
jura	13–11	-0.04	3%	23 Aug →
inferno	9–13	-0.05	13%	23 Aug →
ancient	1–13	-0.10	6%	22 Aug →
grail	3–13	-0.06	33%	22 Aug →
inferno	8–13	-0.10	22%	21 Aug →
ancient	12–12	-0.10	0%	21 Aug →
mirage	4–13	-0.04	12%	21 Aug →
office	4–13	-0.03	100%	21 Aug →
nuke	4–13	-0.09	8%	21 Aug →
dust2	6–13	-0.08	7%	21 Aug →
train	13–10	-0.10	5%	21 Aug →
overpass	12–12	-0.08	9%	20 Aug →
mirage	13–10	-0.02	8%	20 Aug →
ancient	8–13	-0.08	5%	20 Aug →
nuke	0–9	-0.13	0%	20 Aug →
italy	11–13	-0.09	5%	20 Aug →
mirage	3–13	-0.11	0%	19 Aug →
office	13–8	-0.11	13%	18 Aug →
nuke	3–13	-0.14	0%	18 Aug →
inferno	3–13	-0.12	8%	18 Aug →
office	10–13	-0.06	11%	17 Aug →
nuke	8–13	-0.02	8%	17 Aug →
vertigo	13–5	-0.03	5%	17 Aug →
grail	4–13	-0.07	0%	17 Aug →
mirage	7–13	-0.06	17%	17 Aug →
ancient	11–13	-0.07	9%	17 Aug →
nuke	0–13	-0.11	5%	17 Aug →
inferno	5–13	-0.07	13%	17 Aug →
mirage	6–13	-0.12	3%	16 Aug →
dust2	1–13	-0.07	20%	16 Aug →
grail	13–11	-0.11	4%	16 Aug →
train	6–13	-0.07	19%	2 Feb →
nuke	4–13	-0.12	3%	2 Feb →
vertigo	7–13	-0.07	21%	2 Feb →
overpass	9–13	-0.10	10%	2 Feb →
train	5–13	-0.11	4%	30 Jan →
basalt	5–13	-0.05	11%	30 Jan →
inferno	10–13	-0.09	29%	12 Jan →
dust2	4–13	-0.08	10%	12 Jan →
nuke	13–8	-0.10	8%	9 Jan →
inferno	6–13	-0.13	12%	9 Jan →
italy	6–13	-0.12	7%	9 Jan →
overpass	5–13	-0.11	18%	6 Dec →
nuke	3–13	-0.15	27%	6 Dec →
dust2	9–13	-0.12	22%	18 Nov →
train	5–13	-0.10	20%	18 Nov →
mills	3–13	-0.12	21%	22 Jul →
overpass	0–13	-0.12	8%	22 Jul →
vertigo	2–9	-0.18	4%	27 Jun →
mills	2–13	-0.11	0%	27 Jun →
dust2	13–4	-0.01	15%	27 Jun →
mills	4–13	-0.02	5%	26 Jun →
mills	12–12	-0.06	10%	26 Jun →
overpass	13–5	-0.14	0%	25 Jun →
mirage	10–13	0.02	16%	25 Jun →
office	4–13	-0.07	0%	24 Jun →
inferno	13–7	-0.04	9%	24 Jun →
nuke	3–13	-0.07	8%	24 Jun →
vertigo	6–13	-0.07	17%	24 Jun →
dust2	0–13	-0.08	0%	22 Jun →
nuke	3–13	-0.06	26%	22 Jun →
mirage	1–13	-0.15	13%	22 Jun →
cache	3–9	-0.18	0%	31 May →