daytryan — CS2 Stats

US76561198325542928[U:1:365277200]Steam profile ↗✓ No bans

709Tracked matches32%Win rate2023Tracked since

1,116Hours in CS6Hrs last 2 wks

CSDB Rating4.2 Developing

Premier CS Rating9,685Light Blue band · top ~56.4% of ranked players (population est.)

CSDB Leaderboard#30993 of 42611 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 3 median	Level 4 median	vs Level 4
Headshot rate	43.2%	42.2%	42.7%	meets
Shot accuracy	4.7%	11.9%	10.8%	6.1% short
Kill/death ratio	1.06	0.98	1.00	above
Match win rate	41.1%	43.6%	44.1%	3.0% short

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim59

Positioning58

Utility40

0–100 skill scores via Leetify.

Recent form

COLD41–51–8Last 10041%Win rateLLLLLLLLLW

Last 10 vs previous 10: -40pp win rate · +0.00 avg rating

Player DNA

Aim5.9

Aggression5.7

Utility4.0

Positioning5.8

Opening Duels2.3

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 86% playstyle similarity

Most alike: opening-fight frequency, 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. 613ms 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

Aim5.9

Positioning5.8

Utility4.0

Mechanics5.9

Opening Duels2.3

Win Impact0.0

Composite 4.2/10 (Developing), 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 rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time607ms−5ms

first ⅓ avg 612ms → last ⅓ avg 607ms

Headshot accuracy15.1%−1.2%

first ⅓ avg 16.2% → last ⅓ avg 15.1%

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.

Highlights

0.13Best rating — nuke 5–0

13–1Biggest win — nuke

3Longest win streak

L9Current streak

6–8In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 56% over 9ancientWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	18	8–10	44%	0.03
inferno	C	18	7–11	39%	0.02
nuke	B	15	8–7	53%	0.02
vertigo	D	10	3–7	30%	0.02
ancient	D	9	2–7	22%	0.01
anubis	A	9	5–4	56%	0.03
cache	D	8	2–6	25%	0.01
train	D	6	2–4	33%	0.01
overpass	—	2	1–1	50%	0.03
dust2	—	2	1–1	50%	0.06
shelter	—	2	1–1	50%	0.02
office	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,122Lifetime kills

1.06K/D · Top 50% of Level 3 players

1,957Matches

41.1%Match win rate

43.2%Headshot % · Top 50% of Level 3 players

4.7%Shot accuracy

2,895MVPs

661Hours (in match)

1,195Bombs planted

344Bombs defused

Most-used weapons

AK-4711,799

M4A4 / M4A1-S4,865

AWP3,101

MP71,476

P2000 / USP-S1,419

Desert Eagle1,327

Glock-181,081

SG 5531,008

P90896

MAC-10878

Lifetime map wins

2,639nuke

1,794dust2

1,667inferno

1,654vertigo

324cbble

266train

87office

10lake

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

Faceit stats

Combat

21Matches

43%Win rate

1.03Avg K/D

80.9ADR

47%Headshot %

Clutches & streaks

11%1v1 clutch win

9%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	7	43%	0.99	13.9
Dust2	3	67%	1.00	15.0
Vertigo	3	0%	0.95	13.7
Anubis	3	67%	1.44	16.7
Nuke	3	67%	0.95	12.0
Inferno	2	0%	0.84	11.5

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.

15.3%Headshot accuracy

34.2%Accuracy (enemy spotted)

41.4%Spray accuracy

76.7%Counter-strafing

11.5°Preaim

613msReaction time

33.0%T opening success

45.5%CT opening success

0.45Enemies flashed / flash

7.1%Flash assists

6.74HE damage / grenade

9.37Flashes / 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 0.4541 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 32.9659% — below the 40% mark we flag

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.

22% win rate across 9 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
mirage	3–13	-0.00	13%	23 Aug →
overpass	10–13	0.04	15%	23 Aug →
vertigo	4–13	0.01	16%	23 Aug →
inferno	5–13	0.02	13%	23 Aug →
mirage	10–13	0.07	15%	23 Aug →
vertigo	8–13	-0.02	24%	23 Aug →
ancient	6–12	-0.04	12%	22 Aug →
train	4–13	0.03	19%	22 Aug →
inferno	7–13	-0.01	11%	22 Aug →
anubis	13–4	0.04	12%	14 Aug →
vertigo	13–10	0.02	9%	14 Aug →
mirage	13–8	0.00	18%	12 Aug →
cache	6–13	-0.01	11%	12 Aug →
cache	6–13	0.02	23%	26 Jul →
inferno	10–13	0.05	20%	26 Jul →
anubis	13–8	-0.01	18%	25 Jul →
mirage	8–13	0.01	18%	25 Jul →
nuke	13–6	0.05	11%	25 Jul →
cache	5–13	0.01	14%	18 Jul →
inferno	13–8	-0.01	19%	18 Jul →
train	9–13	0.04	17%	18 Jul →
nuke	12–12	0.05	19%	18 Jul →
mirage	3–13	0.00	7%	12 Jul →
train	13–5	-0.00	9%	12 Jul →
anubis	13–11	0.04	11%	12 Jul →
inferno	6–13	-0.01	19%	12 Jul →
vertigo	12–12	0.09	14%	12 Jul →
nuke	7–13	0.01	12%	12 Jul →
dust2	13–6	0.11	17%	11 Jul →
shelter	4–13	0.02	20%	11 Jul →
shelter	13–5	0.01	9%	11 Jul →
mirage	13–9	0.01	17%	4 Jul →
inferno	13–8	0.00	14%	20 Jun →
inferno	9–13	0.06	13%	13 Jun →
nuke	12–12	0.05	34%	13 Jun →
train	10–13	-0.03	10%	13 Jun →
ancient	6–13	0.06	17%	9 Jun →
mirage	10–13	0.12	20%	6 Jun →
vertigo	4–13	0.03	8%	6 Jun →
inferno	12–1	0.09	6%	6 Jun →
train	13–9	0.06	15%	2 Jun →
inferno	11–13	0.06	20%	2 Jun →
dust2	12–12	0.02	31%	31 May →
mirage	13–11	0.03	23%	31 May →
anubis	13–4	0.13	13%	29 May →
cache	3–13	-0.05	14%	29 May →
mirage	13–7	0.10	22%	29 May →
ancient	1–13	-0.09	13%	29 May →
ancient	5–13	-0.02	10%	24 May →
train	12–12	-0.03	13%	24 May →
cache	13–3	0.07	11%	22 May →
nuke	11–13	-0.02	8%	22 May →
cache	13–5	-0.03	12%	22 May →
inferno	7–13	-0.03	13%	3 May →
cache	11–13	0.10	12%	2 May →
mirage	3–13	-0.06	12%	30 Apr →
cache	3–13	-0.05	13%	30 Apr →
nuke	5–12	-0.02	11%	26 Apr →
nuke	5–0	0.13	19%	26 Apr →
mirage	0–7	0.00	0%	26 Apr →
ancient	8–13	0.01	15%	25 Apr →
mirage	13–8	0.10	10%	25 Apr →
inferno	5–13	-0.02	18%	25 Apr →
nuke	12–12	0.02	22%	21 Apr →
overpass	13–9	0.02	14%	20 Apr →
office	13–11	-0.00	10%	18 Apr →
inferno	9–2	0.05	11%	18 Apr →
vertigo	12–12	0.06	16%	18 Apr →
ancient	11–13	0.00	15%	18 Apr →
nuke	13–11	0.08	17%	14 Apr →
anubis	11–13	0.01	15%	14 Apr →
mirage	13–2	0.09	32%	14 Apr →
ancient	13–8	0.03	16%	9 Apr →
mirage	13–11	0.05	19%	9 Apr →
nuke	12–12	0.05	24%	9 Apr →
anubis	13–11	0.12	10%	7 Apr →
inferno	11–13	0.04	14%	7 Apr →
ancient	12–3	0.04	30%	7 Apr →
mirage	13–7	-0.03	14%	7 Apr →
vertigo	8–13	0.01	14%	5 Apr →
mirage	8–13	0.02	20%	4 Apr →
nuke	13–1	0.03	21%	4 Apr →
anubis	7–13	0.04	15%	4 Apr →
anubis	11–13	-0.04	12%	2 Apr →
inferno	8–2	0.02	0%	2 Apr →
vertigo	13–6	0.05	18%	2 Apr →
mirage	10–13	0.04	17%	2 Apr →
nuke	13–8	-0.01	17%	29 Mar →
vertigo	13–3	-0.03	6%	29 Mar →
inferno	13–3	-0.01	33%	28 Mar →
anubis	9–13	-0.03	7%	28 Mar →
vertigo	11–13	-0.04	12%	28 Mar →
mirage	7–13	-0.02	18%	28 Mar →
nuke	13–8	-0.01	22%	28 Mar →
ancient	5–13	0.06	14%	28 Mar →
nuke	13–9	-0.05	7%	28 Mar →
inferno	13–10	-0.01	17%	28 Mar →
inferno	10–13	0.04	21%	27 Mar →
nuke	13–10	0.01	20%	26 Mar →
inferno	9–13	-0.02	4%	26 Mar →