Der Doggi — CS2 Stats

DE76561198102022736[U:1:141757008]Steam profile ↗✓ No bans

1,785Tracked matches43%Win rate2022Tracked since

2,543Hours in CS32Hrs last 2 wks

CSDB Rating3.6 Learning

Premier CS Rating12,635Blue band · top ~40.9% of ranked players (population est.)

CSDB Leaderboard#39202 of 58716 tracked

FaceitLevel 4 · 1,100 ELOTop 81.0% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

Rating over time

12,981Peak Premier on CSDB

1,100Peak Faceit ELO on CSDB

1Days observed since 2026-08-30

Faceit ELO

At peak — 1,100
Next: Level 6 at 1,201 — 101 to go
Reached: Level 5 · Level 4 · Level 3 · Level 2
Level 5 first seen 2026-08-30
Level 4 first seen 2026-08-30

Premier CS Rating

346 below peak (12,981)
Next: Purple band at 15,000 — 2,365 to go
Reached: Blue band · Light Blue band
Blue band first seen 2026-08-30
Light Blue band first seen 2026-08-30

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=2,669), 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 4 median	Level 5 median	vs Level 5
Headshot rate	39.9%	42.7%	43.7%	3.8% short
Shot accuracy	5.9%	10.8%	11.8%	5.9% short
Kill/death ratio	0.91	1.00	1.02	0.11 short
Match win rate	45.1%	44.1%	45.0%	meets

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim47

Positioning41

Utility47

0–100 skill scores via Leetify.

Recent form

COLD42–52–6Last 10042%Win rateLLLLLWLLLW

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

Player DNA

Aim4.7

Aggression4.4

Utility4.7

Positioning4.1

Opening Duels0.5

Clutch5.0

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 76% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 631ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim4.7

Positioning4.1

Utility4.7

Mechanics3.7

Opening Duels0.5

Win Impact2.8

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-0.02−0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time629ms−34ms

first ⅓ avg 663ms → last ⅓ avg 629ms

Headshot accuracy17.5%+1.3%

first ⅓ avg 16.2% → last ⅓ avg 17.5%

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

0.09Best rating — nuke 13–8

13–1Biggest win — dust2

7Longest win streak

L5Current streak

7–14In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 75% over 12infernoWeakest map · 28% over 18

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	22	8–14	36%	-0.02
dust2	D	20	6–14	30%	-0.03
inferno	D	18	5–13	28%	-0.02
nuke	S	12	9–3	75%	-0.01
cache	A	11	7–4	64%	-0.02
ancient	B	8	4–4	50%	-0.02
anubis	D	7	2–5	29%	-0.05
boulder	—	1	1–0	100%	-0.02
poseidon	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,289Lifetime kills

0.91K/D

2,923Matches

45.1%Match win rate · Top 50% of Level 4 players

39.9%Headshot %

5.9%Shot accuracy

6,089MVPs

1,421Hours (in match)

4,217Bombs planted

609Bombs defused

Most-used weapons

AK-4714,119

M4A4 / M4A1-S11,399

Desert Eagle3,229

MP72,308

P2000 / USP-S2,273

AWP1,595

P2501,360

MP9904

MAC-10790

Glock-18726

Lifetime map wins

5,147dust2

4,579inferno

3,639nuke

1,119train

871vertigo

127office

82cbble

13italy

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

Faceit stats

Combat

201Matches

47%Win rate

0.92Avg K/D

71.3ADR

41%Headshot %

Clutches & streaks

45%1v1 clutch win

16%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	46	37%	0.79	12.6
Inferno	35	63%	1.06	14.2
Dust2	27	44%	0.94	14.1
Nuke	25	36%	0.95	12.9
Ancient	21	62%	0.88	12.6
Overpass	17	65%	1.05	13.9
Anubis	17	29%	0.85	14.1
Train	8	50%	0.84	12.9

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.

17.0%Headshot accuracy

31.9%Accuracy (enemy spotted)

33.9%Spray accuracy

66.5%Counter-strafing

9.8°Preaim

631msReaction time

31.7%T opening success

32.5%CT opening success

0.40Enemies flashed / flash

3.9%Flash assists

10.16HE damage / grenade

8.75Flashes / 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 0.3967 — 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 31.6795% — below the 40% mark we flag

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.

28% win rate across 18 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
inferno	7–13	-0.01	28%	30 Aug →
mirage	14–16	-0.02	13%	30 Aug →
ancient	11–13	0.01	19%	30 Aug →
dust2	9–13	-0.02	26%	30 Aug →
cache	10–13	-0.08	11%	29 Aug →
ancient	13–5	-0.03	8%	29 Aug →
nuke	3–13	-0.01	10%	29 Aug →
dust2	2–13	-0.09	20%	26 Aug →
inferno	3–13	-0.07	11%	26 Aug →
anubis	13–9	0.01	9%	22 Aug →
nuke	13–9	-0.05	15%	22 Aug →
mirage	11–13	-0.00	18%	21 Aug →
inferno	6–13	-0.04	28%	21 Aug →
inferno	12–16	0.01	14%	20 Aug →
mirage	13–11	0.01	18%	20 Aug →
dust2	8–13	-0.08	17%	19 Aug →
inferno	5–13	-0.07	24%	19 Aug →
cache	11–13	-0.02	29%	19 Aug →
ancient	13–11	-0.05	13%	19 Aug →
dust2	13–9	-0.04	18%	19 Aug →
nuke	13–6	-0.01	17%	19 Aug →
inferno	7–13	0.00	17%	19 Aug →
dust2	10–13	0.05	18%	19 Aug →
cache	13–10	-0.02	18%	19 Aug →
mirage	11–13	-0.02	20%	18 Aug →
cache	13–7	-0.02	6%	18 Aug →
inferno	16–12	0.00	16%	17 Aug →
mirage	13–11	-0.01	16%	16 Aug →
cache	13–9	-0.01	11%	16 Aug →
ancient	13–9	-0.05	19%	16 Aug →
nuke	5–13	-0.04	26%	16 Aug →
nuke	13–9	-0.02	18%	16 Aug →
mirage	13–8	-0.01	25%	16 Aug →
dust2	3–13	-0.06	21%	16 Aug →
mirage	13–9	-0.04	6%	16 Aug →
inferno	11–13	-0.02	14%	13 Aug →
nuke	13–4	0.01	19%	13 Aug →
dust2	7–13	0.02	21%	12 Aug →
nuke	13–2	0.05	17%	12 Aug →
anubis	13–4	-0.02	16%	12 Aug →
nuke	13–9	0.01	12%	12 Aug →
boulder	13–4	-0.02	13%	10 Aug →
mirage	2–13	-0.08	11%	10 Aug →
dust2	11–13	-0.04	14%	10 Aug →
dust2	5–13	-0.06	13%	10 Aug →
anubis	5–13	-0.06	8%	9 Aug →
dust2	11–13	-0.02	15%	9 Aug →
inferno	7–13	-0.03	10%	9 Aug →
cache	0–13	-0.09	12%	9 Aug →
inferno	9–13	-0.03	16%	9 Aug →
poseidon	8–8	0.03	6%	9 Aug →
mirage	15–15	0.01	16%	9 Aug →
anubis	8–13	-0.03	11%	9 Aug →
ancient	11–13	0.00	11%	9 Aug →
dust2	7–13	-0.09	9%	9 Aug →
mirage	4–13	-0.09	6%	9 Aug →
cache	13–5	0.01	8%	8 Aug →
mirage	13–5	0.01	14%	8 Aug →
nuke	13–7	-0.09	17%	8 Aug →
mirage	13–5	-0.04	21%	8 Aug →
cache	13–7	0.02	18%	8 Aug →
inferno	19–17	-0.01	12%	8 Aug →
dust2	13–1	0.08	19%	8 Aug →
mirage	7–13	-0.05	18%	8 Aug →
ancient	11–13	0.00	13%	8 Aug →
dust2	11–13	-0.06	16%	7 Aug →
inferno	11–13	-0.04	26%	7 Aug →
cache	13–6	-0.02	13%	7 Aug →
anubis	1–13	-0.07	4%	7 Aug →
inferno	13–11	-0.03	19%	6 Aug →
mirage	13–11	0.03	17%	5 Aug →
anubis	2–13	-0.08	4%	5 Aug →
mirage	9–13	-0.03	9%	5 Aug →
anubis	7–13	-0.07	16%	5 Aug →
inferno	12–12	-0.00	12%	5 Aug →
mirage	10–13	-0.00	23%	5 Aug →
dust2	13–8	0.04	12%	5 Aug →
dust2	14–16	-0.01	15%	5 Aug →
mirage	4–13	-0.01	8%	5 Aug →
inferno	15–15	-0.08	20%	5 Aug →
dust2	3–13	-0.10	18%	5 Aug →
inferno	16–13	0.02	27%	3 Aug →
mirage	16–12	0.08	23%	3 Aug →
mirage	14–16	-0.01	36%	3 Aug →
dust2	13–9	-0.06	25%	2 Aug →
mirage	9–13	-0.02	2%	2 Aug →
cache	6–13	-0.00	19%	2 Aug →
nuke	15–15	-0.04	7%	2 Aug →
inferno	6–13	-0.03	23%	2 Aug →
mirage	6–13	-0.04	14%	2 Aug →
cache	13–4	-0.01	8%	2 Aug →
ancient	3–13	-0.08	19%	2 Aug →
dust2	2–13	-0.05	30%	1 Aug →
mirage	15–15	-0.02	16%	30 Jul →
ancient	13–4	-0.01	18%	30 Jul →
dust2	16–14	-0.08	24%	30 Jul →
nuke	13–8	0.09	12%	28 Jul →
nuke	13–9	0.02	12%	28 Jul →
inferno	13–7	-0.02	13%	27 Jul →
dust2	13–8	0.03	21%	27 Jul →