Cayday — CS2 Stats

US76561198284983110[U:1:324717382]Steam profile ↗✓ No bans

937Tracked matches47%Win rate2020Tracked since

1,874Hours in CS13Hrs last 2 wks

CSDB Rating3.8 Learning

WingmanGold Nova Master

Ladder ranks via Leetify

Performance scores

Aim37

Positioning41

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateWLWWLWLLLL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim3.7

Aggression4.4

Utility6.7

Positioning4.1

Opening Duels0.8

Clutch2.6

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 81% 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. 619ms 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

Aim3.7

Positioning4.1

Utility6.7

Mechanics4.8

Opening Duels1.3

Win Impact3.9

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time624ms−46ms

first ⅓ avg 670ms → last ⅓ avg 624ms

Headshot accuracy13.5%+0.9%

first ⅓ avg 12.6% → last ⅓ avg 13.5%

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

0.21Best rating — nuke 9–4

13–1Biggest win — inferno

6Longest win streak

6–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 70% over 10dust2Weakest map · 29% over 21

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	21	6–15	29%	-0.01
anubis	S	18	12–6	67%	-0.01
mirage	C	16	7–9	44%	-0.02
inferno	A	16	9–7	56%	0.00
ancient	A	10	6–4	60%	-0.03
nuke	S	10	7–3	70%	-0.01
office	D	6	2–4	33%	-0.01
cache	—	2	1–1	50%	0.00
overpass	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,429Lifetime kills

0.96K/D

2,499Matches

43.0%Match win rate

38.6%Headshot %

9.0%Shot accuracy

5,295MVPs

1,125Hours (in match)

3,027Bombs planted

588Bombs defused

Most-used weapons

AK-4710,767

M4A4 / M4A1-S5,443

AWP3,282

P2000 / USP-S2,614

Desert Eagle2,487

Glock-182,324

Knife1,070

Galil AR877

MP9732

SSG 08731

Lifetime map wins

3,258dust2

3,253inferno

2,659nuke

1,137office

759vertigo

574train

147lake

103militia

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

Faceit stats

Combat

447Matches

55%Win rate

0.98Avg K/D

76.3ADR

41%Headshot %

Clutches & streaks

33%1v1 clutch win

16%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	99	53%	0.87	13.1
Dust2	97	55%	1.02	14.9
Inferno	72	51%	1.00	15.3
Ancient	63	56%	1.02	13.8
Nuke	43	58%	0.99	16.0
Anubis	42	67%	1.06	14.8
Overpass	12	58%	1.01	15.8
Cache	8	50%	0.90	11.6

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.

12.9%Headshot accuracy

31.5%Accuracy (enemy spotted)

34.9%Spray accuracy

71.5%Counter-strafing

12.7°Preaim

619msReaction time

26.4%T opening success

40.3%CT opening success

0.57Enemies flashed / flash

7.6%Flash assists

11.80HE damage / grenade

22.69Flashes / 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 12.7036° — 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 12.8927% — below the 15% mark we flag
Aim Training →

Spend your practice time on Dust 2

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

29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–8	-0.01	9%	27 Aug →
inferno	8–13	-0.04	12%	27 Aug →
anubis	13–8	0.02	14%	27 Aug →
ancient	13–9	-0.08	17%	26 Aug →
anubis	4–13	0.02	6%	26 Aug →
mirage	13–9	0.03	14%	25 Aug →
dust2	9–13	0.04	6%	25 Aug →
dust2	7–13	-0.06	12%	14 May →
anubis	2–13	-0.03	19%	14 May →
nuke	7–9	-0.12	14%	14 May →
inferno	9–7	-0.02	18%	14 May →
inferno	5–9	-0.14	33%	13 May →
nuke	9–4	0.21	13%	13 May →
dust2	5–13	0.01	12%	13 May →
inferno	9–6	0.04	3%	13 May →
dust2	16–19	0.00	9%	8 May →
ancient	6–13	-0.07	13%	8 May →
nuke	16–14	-0.02	22%	6 May →
inferno	10–13	0.01	14%	2 May →
dust2	2–13	-0.06	16%	2 May →
dust2	13–9	-0.00	12%	1 May →
cache	13–9	0.03	12%	30 Apr →
cache	6–13	-0.02	17%	29 Apr →
anubis	19–16	-0.04	13%	27 Apr →
inferno	10–13	-0.00	17%	27 Apr →
anubis	7–13	-0.02	10%	21 Apr →
dust2	8–13	-0.08	17%	19 Apr →
ancient	8–13	-0.09	11%	19 Apr →
mirage	16–13	-0.03	8%	19 Apr →
mirage	13–10	0.01	14%	18 Apr →
nuke	17–19	-0.05	14%	14 Apr →
anubis	13–4	-0.00	12%	12 Apr →
dust2	13–7	0.04	16%	12 Apr →
inferno	8–0	0.06	14%	12 Apr →
nuke	13–9	0.01	11%	12 Apr →
dust2	13–11	0.02	15%	10 Apr →
anubis	13–4	0.01	11%	10 Apr →
mirage	5–13	-0.02	15%	9 Apr →
dust2	13–10	-0.02	19%	9 Apr →
anubis	13–9	-0.03	20%	9 Apr →
ancient	3–13	-0.06	13%	9 Apr →
office	5–13	-0.09	4%	2 Apr →
office	13–10	0.06	19%	2 Apr →
office	11–13	0.03	13%	31 Mar →
office	13–6	-0.04	21%	30 Mar →
office	8–13	-0.02	22%	27 Mar →
office	5–13	0.02	23%	27 Mar →
anubis	13–7	0.01	13%	26 Mar →
inferno	16–14	0.03	15%	23 Mar →
mirage	2–13	-0.08	14%	23 Mar →
mirage	11–13	0.02	13%	21 Mar →
mirage	4–13	-0.06	15%	18 Mar →
anubis	8–13	0.00	25%	18 Mar →
overpass	13–2	-0.03	10%	17 Mar →
inferno	6–13	-0.00	17%	13 Mar →
dust2	13–11	0.02	15%	13 Mar →
dust2	8–13	-0.04	19%	12 Mar →
ancient	13–7	0.06	13%	12 Mar →
anubis	13–10	0.02	15%	11 Mar →
dust2	3–13	-0.08	6%	11 Mar →
mirage	13–10	-0.05	13%	7 Mar →
ancient	13–9	-0.04	15%	5 Mar →
anubis	9–13	-0.05	11%	5 Mar →
anubis	13–8	-0.02	17%	4 Mar →
inferno	13–10	-0.01	14%	28 Feb →
ancient	13–2	-0.01	24%	26 Feb →
inferno	13–8	-0.01	10%	26 Feb →
anubis	13–8	0.01	9%	24 Feb →
mirage	8–13	0.03	13%	23 Feb →
anubis	13–4	0.00	6%	23 Feb →
mirage	11–13	-0.03	7%	20 Feb →
ancient	6–13	-0.03	6%	19 Feb →
mirage	11–13	0.01	17%	19 Feb →
inferno	5–13	-0.06	13%	17 Feb →
dust2	10–13	0.01	15%	15 Feb →
nuke	13–8	-0.05	22%	15 Feb →
nuke	13–8	0.00	20%	15 Feb →
nuke	9–13	-0.05	11%	15 Feb →
ancient	13–3	-0.02	10%	14 Feb →
mirage	13–4	-0.04	17%	12 Feb →
inferno	9–0	0.05	8%	12 Feb →
anubis	13–4	0.04	6%	11 Feb →
dust2	9–13	-0.01	16%	11 Feb →
inferno	13–1	0.08	18%	9 Feb →
ancient	13–8	0.01	12%	9 Feb →
dust2	4–13	-0.00	15%	8 Feb →
nuke	13–7	0.02	17%	8 Feb →
mirage	4–13	-0.10	13%	7 Feb →
dust2	9–13	0.05	14%	7 Feb →
dust2	10–13	0.00	10%	5 Feb →
dust2	13–6	0.00	12%	5 Feb →
dust2	9–13	-0.07	14%	5 Feb →
mirage	5–13	-0.02	9%	4 Feb →
anubis	13–10	-0.03	15%	4 Feb →
nuke	13–3	-0.03	6%	4 Feb →
dust2	12–16	-0.08	9%	4 Feb →
anubis	4–13	-0.07	7%	4 Feb →
mirage	13–4	0.03	13%	3 Feb →
inferno	12–16	0.03	14%	31 Jan →
inferno	13–11	0.01	17%	30 Jan →