-Deppel — CS2 Stats

76561198165127108[U:1:204861380]✓ No bans

1,346Tracked matches67%Win rate2021Tracked since

4,184Hours in CS20Hrs last 2 wks

CSDB Rating7.0 StrongAggressive Rifler

FaceitLevel 10 · 2,531 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median
Headshot rate	46.3%	52.0%
Shot accuracy	17.4%	13.7%
Kill/death ratio	1.16	1.08
Match win rate	52.1%	48.8%

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim86

Positioning61

Utility46

0–100 skill scores via Leetify.

Recent form

HOT59–39–2Last 10059%Win rateWWWWLLWWWL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.6

Aggression8.0

Utility4.6

Positioning6.1

Opening Duels4.0

Clutch3.6

Sharp aimer

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 ropz 94% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.6

Positioning6.1

Utility4.6

Mechanics6.6

Opening Duels4.0

Win Impact10.0

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time502ms−23ms

first ⅓ avg 525ms → last ⅓ avg 502ms

Headshot accuracy14.9%−4.3%

first ⅓ avg 19.2% → last ⅓ avg 14.9%

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

0.19Best rating — nuke 13–3

13–1Biggest win — dust2

6Longest win streak

W4Current streak

10–7In matches decided by ≤2 rounds

14Overtime games

Map breakdown

ancientBest map · 78% over 9anubisWeakest map · 45% over 20

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	23	15–8	65%	0.03
anubis	B	20	9–11	45%	0.02
nuke	S	16	11–5	69%	0.06
inferno	B	14	7–7	50%	0.01
cache	B	13	7–6	54%	0.04
ancient	S	9	7–2	78%	0.05
dust2	—	4	2–2	50%	0.04
overpass	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (45% over 20). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

133,764Lifetime kills

1.16K/D · Top 50% of Level 10 players

4,745Matches

52.1%Match win rate · Top 25% of Level 10 players

46.3%Headshot %

17.4%Shot accuracy · Top 25% of Level 10 players

15,465MVPs

2,271Hours (in match)

4,032Bombs planted

1,486Bombs defused

Most-used weapons

AK-4750,483

M4A4 / M4A1-S30,677

Desert Eagle7,904

P2000 / USP-S7,447

AWP7,173

Glock-185,559

MAC-102,583

FAMAS2,276

P2502,241

MP92,122

Lifetime map wins

8,459nuke

5,094inferno

4,124dust2

1,207cbble

1,176train

1,064vertigo

92office

77lake

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

Faceit stats

Combat

700Matches

56%Win rate

1.26Avg K/D

98.0ADR

41%Headshot %

Clutches & streaks

38%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	71	61%	1.36	18.6
Inferno	38	58%	1.32	17.6
Nuke	29	72%	1.58	22.0
Anubis	27	52%	1.40	19.1
Ancient	23	57%	1.53	21.2
Dust2	12	42%	1.21	18.8
Cache	11	73%	1.46	19.4
Overpass	4	75%	1.58	19.5

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.

14.8%Headshot accuracy

40.8%Accuracy (enemy spotted)

44.8%Spray accuracy

79.8%Counter-strafing

9.7°Preaim

490msReaction time

41.3%T opening success

50.8%CT opening success

0.40Enemies flashed / flash

7.2%Flash assists

9.72HE damage / grenade

6.95Flashes / 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 14.8397% — 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 0.4015 — 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.

45% win rate across 20 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
cache	22–19	0.05	12%	22 Aug →
mirage	13–6	0.07	14%	22 Aug →
ancient	13–5	0.05	10%	21 Aug →
cache	13–7	0.17	15%	21 Aug →
mirage	8–13	0.03	8%	21 Aug →
anubis	12–16	0.03	13%	20 Aug →
nuke	13–5	0.16	12%	20 Aug →
anubis	13–2	0.11	16%	20 Aug →
ancient	13–2	0.14	20%	18 Aug →
ancient	10–13	0.01	9%	17 Aug →
nuke	11–13	-0.01	14%	13 Aug →
mirage	8–13	-0.04	23%	11 Aug →
nuke	13–8	0.13	10%	10 Aug →
mirage	13–8	0.04	15%	9 Aug →
inferno	13–8	0.06	14%	8 Aug →
ancient	13–3	0.15	21%	8 Aug →
nuke	13–8	0.07	11%	8 Aug →
inferno	11–13	-0.00	8%	8 Aug →
dust2	13–1	0.11	17%	8 Aug →
nuke	13–9	-0.01	19%	8 Aug →
inferno	13–11	0.01	13%	8 Aug →
mirage	13–8	-0.04	10%	8 Aug →
anubis	6–13	0.06	11%	8 Aug →
mirage	6–13	-0.02	10%	8 Aug →
cache	13–11	0.06	22%	5 Aug →
nuke	16–19	0.05	24%	5 Aug →
mirage	13–3	0.12	15%	5 Aug →
ancient	22–18	-0.01	15%	4 Aug →
anubis	13–10	-0.03	20%	4 Aug →
inferno	9–13	0.02	23%	4 Aug →
anubis	11–13	-0.00	18%	3 Aug →
anubis	2–13	-0.08	15%	1 Aug →
mirage	13–6	0.00	15%	31 Jul →
inferno	13–6	0.03	9%	31 Jul →
inferno	6–13	-0.03	12%	31 Jul →
mirage	13–9	0.04	7%	31 Jul →
anubis	13–10	-0.02	9%	31 Jul →
cache	11–13	-0.04	11%	31 Jul →
anubis	13–10	-0.02	14%	31 Jul →
nuke	13–3	0.19	22%	31 Jul →
mirage	13–11	0.03	15%	31 Jul →
anubis	8–13	-0.07	13%	30 Jul →
mirage	16–19	-0.03	23%	30 Jul →
dust2	9–13	0.01	20%	30 Jul →
nuke	19–17	0.05	13%	29 Jul →
inferno	13–7	-0.00	12%	29 Jul →
mirage	13–7	0.04	20%	29 Jul →
cache	13–4	0.08	32%	29 Jul →
anubis	13–5	0.04	16%	29 Jul →
mirage	13–11	0.03	19%	29 Jul →
mirage	8–13	-0.00	13%	26 Jul →
cache	13–9	0.01	17%	26 Jul →
nuke	13–16	-0.03	16%	26 Jul →
mirage	10–13	0.03	24%	23 Jul →
nuke	16–14	0.05	21%	23 Jul →
inferno	9–13	-0.01	14%	23 Jul →
mirage	16–12	0.11	27%	23 Jul →
nuke	13–7	0.10	11%	23 Jul →
anubis	13–6	0.07	21%	23 Jul →
cache	5–13	0.04	25%	23 Jul →
anubis	13–4	0.08	18%	23 Jul →
anubis	13–10	0.05	22%	20 Jul →
anubis	11–13	-0.02	10%	20 Jul →
cache	13–5	-0.03	22%	20 Jul →
ancient	13–4	0.09	15%	19 Jul →
ancient	13–9	0.04	17%	19 Jul →
nuke	13–2	-0.01	15%	19 Jul →
cache	14–16	0.04	25%	18 Jul →
mirage	13–11	0.07	16%	14 Jul →
cache	15–15	0.04	15%	13 Jul →
mirage	5–13	0.05	21%	13 Jul →
inferno	16–14	0.04	21%	13 Jul →
cache	7–13	0.06	12%	13 Jul →
anubis	17–19	0.03	22%	13 Jul →
nuke	2–13	-0.02	11%	11 Jul →
cache	9–13	-0.03	14%	11 Jul →
anubis	9–13	0.06	18%	11 Jul →
anubis	13–8	0.13	22%	11 Jul →
nuke	13–3	0.16	17%	11 Jul →
mirage	13–6	0.08	12%	11 Jul →
inferno	1–13	0.02	27%	11 Jul →
ancient	4–13	-0.04	30%	10 Jul →
anubis	9–13	-0.00	13%	7 Jul →
cache	13–7	0.03	10%	6 Jul →
inferno	13–11	0.03	23%	6 Jul →
mirage	3–13	-0.04	18%	6 Jul →
nuke	13–6	0.06	18%	5 Jul →
mirage	13–6	0.09	17%	5 Jul →
dust2	4–13	-0.01	14%	5 Jul →
anubis	5–13	-0.04	13%	5 Jul →
nuke	15–15	0.04	20%	4 Jul →
overpass	13–11	0.04	13%	4 Jul →
dust2	13–10	0.04	19%	4 Jul →
ancient	13–8	-0.01	24%	4 Jul →
mirage	13–8	0.08	19%	4 Jul →
inferno	6–13	-0.08	40%	3 Jul →
inferno	13–5	0.05	29%	3 Jul →
anubis	4–13	-0.03	16%	3 Jul →
mirage	13–1	0.03	25%	3 Jul →
inferno	10–13	0.04	21%	3 Jul →