cannd — CS2 Stats

76561198393940786[U:1:433675058]Steam profile ↗✓ No bans

496Tracked matches43%Win rate2024Tracked since

495Hours in CS

CSDB Rating3.3 Learning

WingmanSilver Elite

Ladder ranks via Leetify

Performance scores

Aim38

Positioning33

Utility21

0–100 skill scores via Leetify.

Recent form

STEADY44–44–12Last 10044%Win rateLWLWWLWTWL

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating

Player DNA

Aim3.8

Aggression4.2

Utility2.1

Positioning3.3

Opening Duels0.0

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 70% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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. 653ms 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

Aim3.8

Positioning3.3

Utility2.1

Mechanics5.9

Opening Duels0.6

Win Impact2.6

Composite 3.3/10 (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-0.05−0.01

first ⅓ avg -0.04 → last ⅓ avg -0.05

Reaction time650ms−45ms

first ⅓ avg 695ms → last ⅓ avg 650ms

Headshot accuracy16.2%+0.9%

first ⅓ avg 15.3% → last ⅓ avg 16.2%

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

0.10Best rating — mirage 9–1

13–1Biggest win — vertigo

5Longest win streak

9–5In matches decided by ≤2 rounds

3Overtime games

Map breakdown

trainBest map · 75% over 8anubisWeakest map · 0% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	15	8–7	53%	-0.03
cache	B	14	7–7	50%	-0.04
vertigo	B	11	5–6	45%	-0.04
train	S	8	6–2	75%	-0.03
warden	B	8	4–4	50%	-0.07
mirage	D	7	1–6	14%	-0.04
anubis	D	7	0–7	0%	-0.05
dust2	D	6	2–4	33%	-0.05
ancient	D	6	2–4	33%	-0.03
office	—	4	1–3	25%	-0.06
overpass	—	4	2–2	50%	-0.06
nuke	—	3	2–1	67%	-0.04
fachwerk	—	3	2–1	67%	-0.01
boulder	—	1	0–1	0%	0.01
shelter	—	1	0–1	0%	-0.11
alpine	—	1	1–0	100%	-0.05
stronghold	—	1	1–0	100%	-0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,130Lifetime kills

0.71K/D

1,811Matches

40.2%Match win rate

45.9%Headshot % · Top 50% of tracked players

8.3%Shot accuracy

1,475MVPs

495Hours (in match)

949Bombs planted

108Bombs defused

Most-used weapons

AK-474,816

M4A4 / M4A1-S3,482

Tec-91,170

Nova884

Galil AR804

MP9800

P2000 / USP-S714

UMP-45701

AWP521

FAMAS494

Lifetime map wins

1,432inferno

1,161nuke

1,091vertigo

920dust2

778train

392office

196cbble

30italy

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

Faceit stats

Combat

1Matches

0%Win rate

0.53Avg K/D

58.8ADR

56%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

16.6%Headshot accuracy

30.2%Accuracy (enemy spotted)

29.8%Spray accuracy

76.7%Counter-strafing

12.5°Preaim

653msReaction time

24.3%T opening success

34.4%CT opening success

0.43Enemies flashed / flash

0.0%Flash assists

5.56HE damage / grenade

2.82Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.4756° — above the 12° 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 0.4277 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	7–13	-0.07	25%	9 Aug →
dust2	13–11	-0.03	7%	9 Aug →
inferno	7–13	-0.04	13%	26 Jul →
ancient	13–8	0.00	14%	21 Jul →
mirage	9–1	0.10	14%	21 Jul →
boulder	8–13	0.01	21%	11 Jul →
fachwerk	13–9	-0.02	8%	11 Jul →
shelter	12–12	-0.11	27%	10 Jul →
fachwerk	13–4	-0.04	17%	10 Jul →
fachwerk	4–13	0.04	22%	9 Jul →
inferno	6–13	-0.08	17%	6 Jul →
train	13–6	-0.05	12%	29 Jun →
ancient	5–13	-0.05	19%	29 Jun →
dust2	12–12	-0.09	19%	29 Jun →
inferno	13–7	-0.04	16%	29 Jun →
train	7–13	-0.08	4%	21 Jun →
warden	7–2	-0.11	18%	18 Jun →
cache	13–6	-0.04	21%	18 Jun →
cache	8–13	-0.08	20%	16 Jun →
vertigo	9–13	-0.04	14%	16 Jun →
inferno	7–13	-0.05	22%	15 Jun →
cache	4–13	-0.04	8%	14 Jun →
warden	13–5	-0.11	15%	14 Jun →
dust2	2–13	-0.09	21%	14 Jun →
mirage	7–13	-0.06	26%	13 Jun →
mirage	2–13	-0.08	25%	12 Jun →
vertigo	13–9	-0.09	20%	9 Jun →
vertigo	6–13	0.03	16%	9 Jun →
vertigo	5–13	-0.04	5%	6 Jun →
warden	13–11	-0.12	14%	31 May →
vertigo	13–1	0.02	6%	31 May →
vertigo	12–12	-0.07	19%	31 May →
anubis	7–13	-0.05	9%	31 May →
office	3–13	-0.05	12%	24 May →
vertigo	9–13	-0.04	10%	24 May →
cache	10–13	0.04	12%	24 May →
office	8–13	-0.06	7%	19 May →
office	7–13	-0.06	15%	17 May →
cache	13–11	-0.09	7%	17 May →
cache	12–12	-0.07	18%	10 May →
cache	12–12	-0.06	10%	10 May →
inferno	12–12	-0.06	12%	9 May →
cache	13–6	-0.04	12%	9 May →
cache	13–9	-0.05	16%	8 May →
dust2	11–13	-0.05	11%	5 May →
cache	7–13	0.03	19%	4 May →
cache	0–13	-0.09	8%	4 May →
cache	13–8	0.03	8%	4 May →
cache	13–11	0.00	18%	3 May →
cache	13–3	-0.06	12%	2 May →
train	13–8	-0.01	20%	27 Apr →
alpine	13–10	-0.05	19%	26 Apr →
mirage	12–12	-0.06	24%	20 Apr →
warden	12–12	-0.04	12%	19 Apr →
vertigo	12–12	-0.09	14%	12 Apr →
stronghold	13–7	-0.08	10%	12 Apr →
train	13–2	0.01	16%	9 Apr →
inferno	13–8	-0.03	19%	5 Apr →
office	13–7	-0.08	16%	29 Mar →
warden	11–13	-0.05	12%	20 Mar →
dust2	13–6	-0.01	9%	19 Mar →
anubis	5–13	-0.08	3%	19 Mar →
warden	13–3	0.01	31%	15 Mar →
inferno	13–7	0.04	20%	15 Mar →
inferno	13–10	-0.03	16%	13 Mar →
inferno	8–13	-0.05	11%	12 Mar →
inferno	13–11	-0.03	12%	12 Mar →
overpass	13–6	-0.12	0%	11 Mar →
train	13–11	0.03	20%	9 Mar →
anubis	6–13	-0.04	19%	9 Mar →
train	9–13	-0.06	12%	27 Feb →
mirage	6–13	-0.02	13%	21 Feb →
vertigo	13–11	-0.01	15%	17 Feb →
vertigo	13–8	-0.12	5%	17 Feb →
vertigo	13–9	-0.01	19%	14 Feb →
anubis	12–12	-0.03	17%	8 Feb →
anubis	4–13	-0.08	32%	8 Feb →
anubis	12–12	-0.02	15%	7 Feb →
anubis	4–13	-0.08	19%	6 Feb →
inferno	11–13	0.01	15%	1 Feb →
ancient	3–13	-0.09	25%	1 Feb →
ancient	8–13	-0.02	9%	1 Feb →
ancient	8–5	0.03	15%	1 Feb →
inferno	16–14	-0.05	20%	31 Jan →
inferno	5–13	-0.03	13%	30 Jan →
nuke	13–5	-0.03	6%	30 Jan →
inferno	16–14	-0.04	17%	29 Jan →
overpass	15–15	-0.14	18%	27 Jan →
warden	9–13	-0.03	6%	25 Jan →
warden	7–13	-0.08	14%	22 Jan →
ancient	7–13	-0.03	13%	20 Jan →
overpass	13–2	0.07	20%	20 Jan →
dust2	2–13	-0.01	25%	17 Jan →
mirage	11–13	-0.07	13%	12 Jan →
inferno	13–3	0.08	20%	12 Jan →
nuke	13–9	-0.03	10%	7 Jan →
train	13–10	-0.03	17%	1 Jan →
train	13–8	-0.03	14%	1 Jan →
overpass	11–13	-0.05	12%	24 Dec →
mirage	7–13	-0.10	21%	21 Dec →