doggo373 — CS2 Stats

US76561199017750680[U:1:1057484952]Steam profile ↗✓ No bans

2,412Tracked matches59%Win rate2022Tracked since

CSDB Rating8.0 StrongOpening Duellist

Premier CS Rating22,724Top 25% of 205,052 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)

CSDB Leaderboard#45157 of 252248 tracked

FaceitLevel 7 · 1,330 ELOTop 42.3% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,724 -1,473 3 Sept – 8 Oct · 18 days played

24,999Peak Premier in tracked matches

1,330Highest Faceit ELO seen on CSDB

31Days played since 2026-09-02

Faceit ELO

At peak — 1,330
Next: Level 7 at 1,351 — 21 to go
Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

2,057 below peak (24,781)
-1,405 over 30 days · declining
Next: Red band at 25,000 — 2,276 to go
Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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

Aim83

Positioning82

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY54–40–6Last 10054%Win rateTLTWLWLWLW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +3.1pp headshot accuracy · +13ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

1–2–2 · 20% win rate
Avg rating 0.05
Avg headshot accuracy 16%
Avg reaction 520ms

Last 10

4–4–2 · 40% win rate
Avg rating 0.05
Avg headshot accuracy 15%
Avg reaction 508ms

Last 20

9–8–3 · 45% win rate
Avg rating 0.05
Avg headshot accuracy 13%
Avg reaction 501ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Opening Duellist — Winning opening duels is what stands out in this profile (+1.8 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.3

Utility6.2

Positioning8.2

Opening Duels8.9

Clutch5.2

Strong CT-side openerStrong positioning

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like s1mple 76% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; higher opening-duel success.

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

CT openings. 74% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 69% T opening-duel success — entries that actually open the round.

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

Aim8.3

Positioning8.2

Utility6.2

Mechanics6.9

Opening Duels9.8

Win Impact8.1

Composite 8.0/10 (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 rating0.05+0.00

first ⅓ avg 0.05 → last ⅓ avg 0.05

Reaction time497ms+1ms

first ⅓ avg 497ms → last ⅓ avg 497ms

Headshot accuracy14.1%−0.8%

first ⅓ avg 14.9% → last ⅓ avg 14.1%

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.

Personal bests

0.27Best match rating · 9–4 · inferno, 4 Oct →

46%Best headshot accuracy · 13–10 · office, 17 Sept →

391msFastest reaction time · 9–7 · vertigo, 2 Oct →

13–1Biggest win · office, 8 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

4–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 67% over 9mirageWeakest map · 37% over 19

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	19	7–12	37%	0.02
inferno	C	16	7–9	44%	0.04
office	A	13	8–5	62%	0.07
nuke	A	12	7–5	58%	0.05
dust2	B	11	5–6	45%	0.03
ancient	S	9	6–3	67%	0.06
cache	S	9	6–3	67%	0.07
anubis	A	7	4–3	57%	0.06
train	—	3	3–0	100%	0.11
vertigo	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (37% over 19). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

106Matches

53%Win rate

1.29Avg K/D

92.3ADR

38%Headshot %

Clutches & streaks

46%1v1 clutch win

28%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	29	52%	1.35	18.3
Dust2	23	57%	1.31	16.3
Ancient	17	59%	1.10	16.6
Inferno	11	45%	1.29	19.3
Nuke	10	60%	1.72	22.2
Anubis	7	57%	1.29	19.9
Cache	5	60%	1.01	16.8
Vertigo	2	0%	1.25	20.5

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.

14.0%Headshot accuracy

40.3%Accuracy (enemy spotted)

41.8%Spray accuracy

81.2%Counter-strafing

9.5°Preaim

499msReaction time

68.5%T opening success

74.2%CT opening success

0.59Enemies flashed / flash

13.6%Flash assists

8.79HE damage / grenade

8.52Flashes / 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 13.9775% — below the 15% mark we flag
Aim Training →

Spend your practice time on Mirage

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

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	12–12	0.09	26%	14 Oct →
inferno	10–13	0.01	12%	12 Oct →
office	12–12	0.04	15%	12 Oct →
anubis	13–10	0.06	12%	12 Oct →
ancient	9–13	0.05	13%	8 Oct →
nuke	13–7	-0.02	14%	7 Oct →
anubis	10–13	0.04	21%	6 Oct →
cache	13–3	0.13	18%	6 Oct →
dust2	10–13	-0.02	10%	6 Oct →
ancient	13–5	0.09	9%	6 Oct →
mirage	19–22	-0.02	8%	5 Oct →
mirage	13–4	0.08	11%	5 Oct →
ancient	15–15	-0.02	6%	4 Oct →
inferno	7–13	0.02	15%	4 Oct →
cache	13–10	0.12	16%	4 Oct →
inferno	4–9	0.06	15%	4 Oct →
inferno	9–4	0.27	9%	4 Oct →
dust2	8–13	-0.04	8%	4 Oct →
dust2	13–9	-0.01	16%	4 Oct →
mirage	13–4	0.03	14%	3 Oct →
nuke	13–7	0.14	18%	3 Oct →
cache	13–10	0.10	12%	3 Oct →
inferno	11–13	0.04	13%	3 Oct →
ancient	13–6	0.09	11%	3 Oct →
office	13–2	0.07	6%	3 Oct →
nuke	13–11	0.02	13%	2 Oct →
office	13–11	0.03	11%	2 Oct →
vertigo	9–7	-0.01	13%	2 Oct →
nuke	7–9	0.01	23%	2 Oct →
dust2	10–13	0.02	20%	1 Oct →
inferno	13–3	0.06	14%	28 Sept →
nuke	13–3	0.08	23%	28 Sept →
mirage	6–13	0.05	20%	28 Sept →
office	4–13	0.06	25%	28 Sept →
inferno	15–15	-0.01	14%	27 Sept →
dust2	10–13	0.03	15%	26 Sept →
ancient	13–6	0.07	17%	26 Sept →
nuke	13–4	0.09	17%	26 Sept →
inferno	13–3	0.06	14%	26 Sept →
mirage	6–13	-0.07	14%	26 Sept →
anubis	13–9	0.07	14%	23 Sept →
dust2	13–16	-0.01	14%	23 Sept →
inferno	8–13	0.04	21%	23 Sept →
inferno	8–13	-0.06	16%	22 Sept →
mirage	10–13	0.05	13%	22 Sept →
ancient	13–8	0.04	10%	22 Sept →
dust2	13–6	0.02	13%	22 Sept →
inferno	11–13	0.05	15%	21 Sept →
office	13–8	0.05	27%	21 Sept →
mirage	13–7	0.11	13%	20 Sept →
dust2	6–13	-0.04	9%	20 Sept →
dust2	13–5	0.15	23%	19 Sept →
cache	2–13	-0.03	13%	19 Sept →
mirage	11–13	0.04	14%	19 Sept →
cache	13–4	0.04	24%	19 Sept →
inferno	13–2	0.05	21%	18 Sept →
anubis	6–13	0.03	16%	18 Sept →
office	11–13	0.01	11%	18 Sept →
nuke	6–13	-0.02	18%	18 Sept →
mirage	9–13	-0.00	29%	18 Sept →
ancient	13–9	0.14	10%	18 Sept →
mirage	15–15	0.07	13%	17 Sept →
office	13–10	0.12	46%	17 Sept →
office	13–3	0.01	30%	17 Sept →
cache	13–7	0.13	10%	17 Sept →
office	12–12	0.00	17%	16 Sept →
mirage	9–13	-0.04	4%	16 Sept →
office	13–8	0.13	17%	14 Sept →
train	13–6	0.05	9%	14 Sept →
mirage	13–6	0.19	10%	13 Sept →
mirage	4–13	-0.05	25%	11 Sept →
mirage	10–13	-0.01	15%	11 Sept →
cache	14–16	-0.01	11%	11 Sept →
inferno	13–3	0.04	11%	11 Sept →
nuke	10–13	0.06	11%	11 Sept →
cache	13–8	0.15	23%	11 Sept →
mirage	13–11	-0.00	5%	11 Sept →
ancient	16–12	0.04	9%	10 Sept →
inferno	13–3	-0.05	10%	10 Sept →
cache	6–13	0.02	19%	10 Sept →
nuke	13–3	0.16	16%	9 Sept →
office	11–13	-0.01	23%	9 Sept →
anubis	13–2	0.12	14%	9 Sept →
train	13–5	0.08	16%	9 Sept →
office	13–3	0.14	15%	8 Sept →
office	13–1	0.22	20%	8 Sept →
ancient	4–13	-0.01	13%	8 Sept →
inferno	13–6	-0.04	16%	8 Sept →
anubis	6–13	0.05	16%	8 Sept →
mirage	8–13	-0.05	6%	8 Sept →
nuke	16–13	0.03	17%	7 Sept →
train	13–10	0.20	20%	7 Sept →
inferno	11–13	0.03	16%	4 Sept →
mirage	13–6	-0.01	13%	4 Sept →
mirage	3–13	-0.08	41%	3 Sept →
mirage	13–7	0.02	9%	3 Sept →
nuke	8–13	-0.05	11%	3 Sept →
anubis	13–8	0.04	14%	3 Sept →
dust2	13–8	0.14	9%	2 Sept →
dust2	13–8	0.09	12%	2 Sept →