Delos — CS2 Stats

76561198257395104[U:1:297129376]

1,205Tracked matches61%Win rate2020Tracked since

1,109Hours in CS

CSDB Rating4.2 Developing

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim36

Positioning46

Utility28

0–100 skill scores via Leetify.

Recent form

STEADY50–42–8Last 10050%Win rateLLTWWWWWLW

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

Aim3.6

Aggression6.4

Utility2.8

Positioning4.6

Opening Duels2.4

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 Twistzz 77% playstyle similarity

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

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. 710ms 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

Aim3.6

Positioning4.6

Utility2.8

Mechanics4.4

Opening Duels2.4

Win Impact8.6

Composite 4.2/10 (Developing), 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-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time706ms−2ms

first ⅓ avg 708ms → last ⅓ avg 706ms

Headshot accuracy15.0%+2.9%

first ⅓ avg 12.1% → last ⅓ avg 15.0%

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

0.12Best rating — cache 13–10

13–1Biggest win — dust2

8Longest win streak

L2Current streak

5–7In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 64% over 14infernoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	24	14–10	58%	-0.00
dust2	A	17	10–7	59%	-0.01
ancient	A	14	9–5	64%	0.00
mirage	C	11	4–7	36%	-0.02
nuke	C	11	4–7	36%	-0.01
anubis	C	8	3–5	38%	-0.01
overpass	B	8	4–4	50%	0.02
inferno	D	6	1–5	17%	-0.04
vertigo	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,879Lifetime kills

0.85K/D

3,538Matches

38.1%Match win rate

32.7%Headshot %

10.4%Shot accuracy

6,372MVPs

1,109Hours (in match)

2,945Bombs planted

662Bombs defused

Most-used weapons

AK-4716,139

M4A4 / M4A1-S11,105

AWP10,747

P2000 / USP-S2,589

Desert Eagle2,353

Glock-181,464

Galil AR916

FAMAS831

SG 553765

P90714

Lifetime map wins

6,080dust2

2,748inferno

1,921nuke

1,054vertigo

825train

236cbble

86lake

20italy

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.

13.7%Headshot accuracy

32.3%Accuracy (enemy spotted)

39.2%Spray accuracy

69.6%Counter-strafing

11.6°Preaim

710msReaction time

37.0%T opening success

42.3%CT opening success

0.33Enemies flashed / flash

1.8%Flash assists

4.80HE damage / grenade

4.90Flashes / 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 13.6844% — 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 710.1579ms — 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 0.3266 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	5–13	-0.04	18%	30 May →
mirage	1–13	-0.07	19%	27 May →
cache	12–12	-0.07	6%	22 May →
cache	13–7	0.04	16%	22 May →
cache	13–6	-0.03	15%	16 May →
cache	13–9	-0.08	10%	15 May →
cache	13–3	0.09	24%	9 May →
cache	13–3	0.03	20%	9 May →
cache	11–13	0.01	14%	5 May →
cache	13–8	0.04	7%	5 May →
cache	11–13	0.01	11%	4 May →
cache	9–13	-0.07	10%	4 May →
cache	9–1	-0.04	5%	4 May →
cache	9–13	-0.03	16%	4 May →
cache	13–10	0.12	18%	4 May →
cache	5–3	-0.01	12%	4 May →
cache	12–12	-0.03	14%	4 May →
cache	13–5	0.00	10%	2 May →
cache	9–13	0.01	7%	2 May →
cache	9–13	-0.02	12%	1 May →
cache	13–11	0.01	11%	1 May →
cache	13–9	0.08	24%	30 Apr →
cache	13–8	0.03	8%	29 Apr →
cache	13–7	0.00	12%	29 Apr →
cache	7–13	-0.08	7%	29 Apr →
mirage	1–13	-0.06	100%	16 Apr →
dust2	13–5	0.10	11%	16 Apr →
ancient	13–7	-0.02	10%	14 Apr →
ancient	13–11	-0.01	10%	9 Apr →
nuke	9–13	-0.04	3%	9 Apr →
anubis	6–13	-0.00	9%	7 Apr →
overpass	6–13	-0.05	10%	7 Apr →
ancient	6–13	-0.04	13%	5 Apr →
dust2	13–1	0.05	23%	2 Apr →
ancient	13–6	-0.04	8%	1 Apr →
dust2	13–7	0.03	11%	1 Apr →
dust2	13–5	-0.04	14%	30 Mar →
anubis	13–6	0.04	14%	30 Mar →
nuke	13–9	0.02	20%	30 Mar →
nuke	13–11	-0.01	11%	26 Mar →
ancient	13–5	0.02	20%	23 Mar →
dust2	7–13	-0.01	11%	22 Mar →
overpass	7–13	0.03	13%	12 Mar →
anubis	6–13	-0.01	18%	12 Mar →
ancient	13–8	0.04	16%	12 Mar →
dust2	5–3	0.03	10%	10 Mar →
overpass	13–5	0.05	11%	10 Mar →
nuke	15–15	0.01	14%	5 Mar →
mirage	13–5	0.06	22%	5 Mar →
ancient	13–6	0.09	24%	5 Mar →
ancient	11–13	-0.02	11%	24 Feb →
dust2	13–8	0.01	15%	19 Feb →
dust2	13–7	-0.01	14%	19 Feb →
mirage	1–13	-0.01	16%	18 Feb →
dust2	16–13	-0.03	18%	18 Feb →
dust2	12–12	-0.04	28%	18 Feb →
dust2	13–10	-0.02	38%	18 Feb →
inferno	6–13	-0.08	5%	18 Feb →
dust2	7–13	-0.06	13%	17 Feb →
mirage	7–13	-0.02	6%	14 Feb →
anubis	13–3	0.09	12%	14 Feb →
dust2	12–12	-0.07	20%	5 Feb →
overpass	13–8	0.04	17%	5 Feb →
ancient	11–13	0.08	22%	5 Feb →
vertigo	9–6	0.04	4%	5 Feb →
mirage	9–13	-0.06	8%	5 Feb →
overpass	13–5	0.03	15%	4 Feb →
mirage	12–16	-0.04	5%	4 Feb →
overpass	13–4	0.01	12%	3 Feb →
inferno	9–13	-0.05	16%	3 Feb →
dust2	5–13	-0.04	32%	3 Feb →
anubis	13–8	-0.05	17%	3 Feb →
ancient	13–7	-0.01	8%	3 Feb →
nuke	11–13	-0.06	16%	3 Feb →
dust2	4–13	-0.04	22%	2 Feb →
ancient	3–13	-0.05	16%	2 Feb →
dust2	4–13	-0.07	11%	2 Feb →
nuke	5–13	0.04	18%	1 Feb →
ancient	13–9	-0.01	13%	1 Feb →
nuke	13–5	0.04	2%	1 Feb →
anubis	4–13	-0.05	8%	1 Feb →
mirage	13–9	0.00	19%	1 Feb →
mirage	13–5	-0.01	23%	1 Feb →
nuke	11–13	-0.04	9%	31 Jan →
nuke	15–15	-0.03	11%	31 Jan →
overpass	15–15	0.03	10%	31 Jan →
inferno	10–13	-0.02	22%	31 Jan →
mirage	13–8	-0.02	6%	30 Jan →
nuke	9–13	0.01	14%	30 Jan →
inferno	2–13	-0.05	4%	30 Jan →
anubis	12–16	-0.02	4%	30 Jan →
mirage	12–12	0.00	9%	30 Jan →
inferno	10–13	-0.03	16%	29 Jan →
overpass	10–13	0.01	10%	29 Jan →
nuke	13–9	-0.03	2%	29 Jan →
anubis	11–13	-0.08	9%	29 Jan →
ancient	13–9	0.03	5%	29 Jan →
dust2	13–6	-0.02	15%	29 Jan →
inferno	13–10	0.00	13%	29 Jan →
ancient	6–13	-0.03	3%	29 Jan →