Maily — CS2 Stats

76561198150905470[U:1:190639742]Steam profile ↗✓ No bans

2,012Tracked matches36%Win rate2020Tracked since

3,619Hours in CS12Hrs last 2 wks

CSDB Rating3.6 Learning

Premier CS Rating11,812Blue band · top ~45.3% of ranked players (population est.)

CSDB Leaderboard#13203 of 18540 tracked

Ladder ranks via Leetify

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Performance scores

Aim54

Positioning39

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY45–49–6Last 10045%Win rateWWLLLLLWWL

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

Player DNA

Aim5.4

Aggression3.0

Utility4.4

Positioning3.9

Opening Duels0.0

Clutch1.2

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 76% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 624ms 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

Aim5.4

Positioning3.9

Utility4.4

Mechanics4.4

Opening Duels0.7

Win Impact0.2

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time622ms−16ms

first ⅓ avg 638ms → last ⅓ avg 622ms

Headshot accuracy15.7%−0.7%

first ⅓ avg 16.4% → last ⅓ avg 15.7%

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

0.13Best rating — nuke 13–2

13–2Biggest win — nuke

7Longest win streak

W2Current streak

8–6In matches decided by ≤2 rounds

13Overtime games

Map breakdown

cacheBest map · 67% over 6nukeWeakest map · 43% over 23

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	27	12–15	44%	-0.01
ancient	C	25	11–14	44%	-0.03
nuke	C	23	10–13	43%	-0.02
anubis	B	15	7–8	47%	-0.05
cache	S	6	4–2	67%	-0.03
mirage	—	2	0–2	0%	0.03
dust2	—	1	0–1	0%	-0.03
train	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (43% over 23). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,038Lifetime kills

0.67K/D

4,611Matches

39.1%Match win rate

36.3%Headshot %

10.7%Shot accuracy

6,929MVPs

2,015Hours (in match)

3,435Bombs planted

770Bombs defused

Most-used weapons

XM101413,110

AUG10,236

SG 5539,650

AK-472,990

M4A4 / M4A1-S2,962

AWP2,407

P2000 / USP-S2,327

P2501,865

MP71,701

Glock-181,507

Lifetime map wins

12,441inferno

8,321nuke

5,037vertigo

1,898dust2

1,032train

246lake

166cbble

161office

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

Faceit stats

Combat

107Matches

45%Win rate

0.74Avg K/D

64.1ADR

44%Headshot %

Clutches & streaks

26%1v1 clutch win

15%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	20	45%	0.72	12.1
Nuke	16	69%	0.78	11.8
Ancient	16	50%	0.74	12.2
Overpass	10	60%	0.97	13.9
Anubis	10	40%	0.66	11.4
Cache	4	25%	0.47	10.3
Vertigo	2	50%	0.64	15.0
Dust2	1	0%	0.63	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.

13.9%Headshot accuracy

38.2%Accuracy (enemy spotted)

45.7%Spray accuracy

69.8%Counter-strafing

13.2°Preaim

624msReaction time

23.1%T opening success

35.7%CT opening success

0.32Enemies flashed / flash

4.3%Flash assists

4.95HE damage / grenade

7.93Flashes / 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 13.2428° — above the 12° mark we flag
Aim Training →
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 13.8687% — 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 0.3234 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Nuke

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

43% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–9	-0.03	11%	28 Aug →
cache	16–14	-0.03	11%	28 Aug →
ancient	6–13	-0.07	3%	28 Aug →
ancient	10–13	-0.05	0%	27 Aug →
inferno	7–13	-0.07	0%	27 Aug →
inferno	9–13	-0.00	46%	26 Aug →
cache	9–13	-0.07	14%	26 Aug →
cache	13–8	-0.07	15%	22 Aug →
ancient	13–5	-0.03	14%	22 Aug →
anubis	6–13	-0.01	21%	22 Aug →
inferno	13–4	0.01	18%	20 Aug →
ancient	11–13	-0.06	8%	20 Aug →
ancient	13–11	-0.05	20%	20 Aug →
inferno	13–11	0.03	19%	15 Aug →
inferno	8–13	-0.05	10%	15 Aug →
dust2	7–13	-0.03	9%	14 Aug →
ancient	6–13	-0.07	16%	14 Aug →
mirage	5–13	0.05	29%	13 Aug →
nuke	15–15	-0.05	5%	13 Aug →
cache	7–13	-0.02	11%	13 Aug →
inferno	9–13	-0.08	22%	12 Aug →
anubis	6–13	-0.05	8%	11 Aug →
nuke	9–13	-0.07	12%	11 Aug →
ancient	4–13	-0.09	25%	10 Aug →
ancient	13–7	-0.02	15%	10 Aug →
nuke	16–13	-0.02	7%	10 Aug →
nuke	6–13	-0.04	14%	10 Aug →
inferno	15–15	0.03	15%	9 Aug →
ancient	13–8	0.02	15%	9 Aug →
ancient	5–13	-0.05	13%	9 Aug →
ancient	13–6	0.08	26%	9 Aug →
inferno	13–6	0.02	44%	9 Aug →
nuke	8–13	0.01	24%	8 Aug →
cache	13–5	-0.00	15%	8 Aug →
anubis	10–13	-0.07	7%	8 Aug →
nuke	13–11	-0.02	10%	8 Aug →
ancient	16–13	-0.03	24%	7 Aug →
nuke	15–15	-0.04	38%	5 Aug →
anubis	13–10	-0.02	13%	5 Aug →
inferno	4–13	0.00	14%	5 Aug →
anubis	13–9	-0.06	0%	5 Aug →
ancient	5–13	-0.04	13%	5 Aug →
inferno	13–3	0.03	40%	5 Aug →
ancient	3–13	-0.12	0%	5 Aug →
inferno	13–6	-0.04	40%	2 Aug →
inferno	10–13	-0.05	22%	2 Aug →
ancient	9–13	-0.04	22%	31 Jul →
nuke	13–8	-0.05	8%	31 Jul →
nuke	11–13	-0.10	25%	30 Jul →
nuke	13–3	0.05	33%	30 Jul →
train	13–11	-0.05	16%	30 Jul →
nuke	12–16	-0.03	13%	29 Jul →
ancient	3–13	0.00	21%	29 Jul →
ancient	13–11	-0.04	7%	29 Jul →
ancient	8–13	-0.12	6%	28 Jul →
anubis	13–5	-0.04	14%	28 Jul →
anubis	15–15	-0.07	25%	27 Jul →
nuke	8–13	-0.03	16%	27 Jul →
inferno	13–4	0.04	29%	27 Jul →
ancient	13–11	0.02	29%	27 Jul →
nuke	13–2	-0.00	14%	26 Jul →
ancient	13–11	0.01	23%	26 Jul →
nuke	13–4	-0.07	11%	26 Jul →
inferno	16–13	-0.01	40%	25 Jul →
cache	13–9	0.01	32%	25 Jul →
nuke	2–13	-0.01	7%	25 Jul →
nuke	8–13	-0.05	9%	25 Jul →
nuke	11–13	0.01	13%	25 Jul →
anubis	13–9	-0.07	9%	25 Jul →
inferno	13–6	0.02	33%	25 Jul →
anubis	10–13	-0.04	5%	24 Jul →
nuke	13–9	-0.02	10%	24 Jul →
inferno	13–16	-0.01	0%	24 Jul →
nuke	13–2	0.13	8%	24 Jul →
inferno	6–13	-0.05	25%	24 Jul →
anubis	9–13	-0.07	14%	23 Jul →
inferno	16–13	-0.03	12%	23 Jul →
inferno	15–15	0.04	44%	23 Jul →
anubis	13–6	-0.03	17%	23 Jul →
nuke	13–2	0.03	9%	23 Jul →
inferno	11–13	-0.06	21%	23 Jul →
inferno	4–13	-0.03	27%	23 Jul →
mirage	11–13	0.01	23%	23 Jul →
ancient	13–9	-0.03	5%	23 Jul →
nuke	11–13	-0.04	10%	23 Jul →
ancient	5–13	-0.11	13%	23 Jul →
ancient	8–13	-0.02	50%	18 Jul →
ancient	13–4	0.04	38%	18 Jul →
anubis	13–4	-0.07	38%	18 Jul →
anubis	8–13	-0.05	4%	18 Jul →
inferno	7–13	0.05	15%	17 Jul →
inferno	13–5	-0.03	0%	17 Jul →
inferno	13–4	0.04	0%	17 Jul →
ancient	15–15	0.04	3%	17 Jul →
inferno	13–8	0.02	8%	16 Jul →
anubis	8–13	-0.04	9%	16 Jul →
inferno	1–13	-0.16	17%	16 Jul →
nuke	9–13	-0.05	25%	15 Jul →
inferno	8–13	-0.02	3%	15 Jul →
anubis	13–9	-0.01	33%	13 Jul →