Doggie The Human — CS2 Stats

VA76561198101189212[U:1:140923484]Steam profile ↗✓ No bans

2,089Tracked matches55%Win rate2020Tracked since

CSDB Rating4.2 DevelopingSupport

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

+45Tracked matches · now 2,089

+25.5ppWin rate · 29.6% → 55.2%

Rating over time

32Days played since 2026-06-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

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

Aim27

Positioning46

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY38–53–9Last 10038%Win rateWWWWLLLWWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −3.0pp headshot accuracy · −53ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.04
Avg headshot accuracy 10%
Avg reaction 588ms

Last 10

6–4 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 11%
Avg reaction 605ms

Last 20

10–9–1 · 50% win rate
Avg rating 0.01
Avg headshot accuracy 13%
Avg reaction 631ms

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: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim2.7

Utility6.4

Positioning4.6

Opening Duels1.3

Clutch6.0

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 Twistzz 56% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 658ms 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

Aim2.7

Positioning4.6

Utility6.4

Mechanics4.7

Opening Duels1.8

Win Impact6.7

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-0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time656ms−83ms

first ⅓ avg 739ms → last ⅓ avg 656ms

Headshot accuracy13.0%−0.1%

first ⅓ avg 13.1% → last ⅓ avg 13.0%

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.

Personal bests

0.11Best match rating · 13–4 · vertigo, 30 Jun →

35%Best headshot accuracy · 8–13 · cache, 4 Aug →

461msFastest reaction time · 5–13 · inferno, 22 Sept →

13–1Biggest win · cache, 16 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak

W4Current streak

7–4In matches decided by ≤2 rounds

3Overtime games

Map breakdown

nukeBest map · 60% over 5mirageWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
cache	D	44	15–29	34%	-0.01
vertigo	C	14	6–8	43%	0.02
mirage	D	8	2–6	25%	-0.01
dust2	D	7	2–5	29%	-0.04
inferno	D	6	2–4	33%	-0.01
nuke	A	5	3–2	60%	-0.02
overpass	—	3	0–3	0%	-0.03
ancient	—	3	1–2	33%	-0.02
shelter	—	2	2–0	100%	0.05
anubis	—	2	0–2	0%	-0.05
boulder	—	2	2–0	100%	-0.02
fachwerk	—	1	1–0	100%	-0.08
italy	—	1	1–0	100%	-0.01
office	—	1	0–1	0%	-0.06
train	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

80Matches

49%Win rate

1.06Avg K/D

84.9ADR

34%Headshot %

Clutches & streaks

50%1v1 clutch win

25%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	5	40%	0.83	12.8
Nuke	4	50%	1.23	15.5
Anubis	2	100%	0.93	15.5
Inferno	2	50%	1.00	14.0
Vertigo	2	50%	0.98	15.5

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.

13.0%Headshot accuracy

28.4%Accuracy (enemy spotted)

34.7%Spray accuracy

71.1%Counter-strafing

13.5°Preaim

658msReaction time

40.7%T opening success

33.8%CT opening success

0.55Enemies flashed / flash

6.4%Flash assists

8.53HE damage / grenade

13.68Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.5435° — above the 12° mark we flag
Aim Training →
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 12.9861% — 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.

25% win rate across 8 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
vertigo	13–9	0.01	15%	25 Oct →
vertigo	13–4	0.04	6%	25 Oct →
vertigo	7–3	0.11	10%	25 Oct →
vertigo	13–5	0.06	12%	25 Oct →
cache	3–13	-0.02	8%	25 Oct →
cache	9–13	0.07	13%	29 Sept →
cache	8–13	0.00	10%	29 Sept →
cache	5–5	-0.09	10%	29 Sept →
cache	13–7	-0.01	11%	29 Sept →
vertigo	7–13	0.02	17%	27 Sept →
vertigo	13–2	0.08	18%	27 Sept →
nuke	13–8	-0.02	13%	26 Sept →
dust2	12–12	-0.06	13%	26 Sept →
vertigo	4–13	0.01	6%	26 Sept →
shelter	13–11	0.05	20%	23 Sept →
cache	6–13	-0.07	12%	23 Sept →
mirage	9–13	-0.01	17%	23 Sept →
inferno	5–13	-0.04	20%	22 Sept →
cache	13–8	0.05	14%	22 Sept →
anubis	7–13	-0.03	12%	22 Sept →
mirage	6–13	-0.00	20%	22 Sept →
boulder	13–9	-0.01	17%	16 Sept →
shelter	13–8	0.05	10%	16 Sept →
fachwerk	13–10	-0.08	14%	16 Sept →
cache	7–13	-0.07	7%	15 Sept →
cache	6–13	-0.01	7%	15 Sept →
cache	6–13	-0.01	18%	15 Sept →
dust2	13–9	0.05	9%	12 Sept →
nuke	13–7	-0.04	9%	12 Sept →
inferno	13–11	-0.01	17%	12 Sept →
cache	13–5	0.01	9%	12 Sept →
vertigo	1–7	-0.06	25%	12 Sept →
mirage	9–13	-0.04	14%	12 Sept →
mirage	9–13	-0.04	8%	12 Sept →
vertigo	10–13	-0.04	12%	12 Sept →
overpass	4–13	-0.06	5%	11 Sept →
boulder	13–11	-0.02	12%	9 Sept →
italy	13–11	-0.01	12%	9 Sept →
office	7–13	-0.06	21%	9 Sept →
inferno	13–6	0.07	5%	8 Sept →
mirage	7–13	-0.05	14%	8 Sept →
cache	13–10	-0.02	13%	8 Sept →
ancient	13–11	0.03	16%	8 Sept →
dust2	13–8	-0.03	15%	8 Sept →
cache	13–8	0.07	20%	5 Sept →
cache	4–13	-0.05	7%	26 Aug →
nuke	11–13	-0.03	11%	26 Aug →
nuke	6–13	-0.03	9%	25 Aug →
cache	4–13	-0.06	24%	25 Aug →
cache	6–13	0.01	16%	25 Aug →
cache	13–5	0.10	16%	25 Aug →
cache	14–16	-0.04	15%	19 Aug →
vertigo	1–13	-0.07	21%	19 Aug →
cache	2–13	-0.00	20%	19 Aug →
ancient	15–15	-0.05	19%	18 Aug →
mirage	13–7	0.06	17%	18 Aug →
dust2	10–13	-0.06	8%	18 Aug →
inferno	5–13	-0.02	11%	16 Aug →
cache	13–6	0.01	19%	11 Aug →
cache	13–5	0.01	17%	11 Aug →
cache	13–2	0.03	9%	11 Aug →
overpass	12–12	0.00	14%	5 Aug →
vertigo	8–13	-0.10	8%	5 Aug →
dust2	7–13	-0.06	4%	5 Aug →
cache	2–13	-0.08	20%	5 Aug →
cache	10–13	-0.06	16%	4 Aug →
cache	8–13	-0.03	35%	4 Aug →
cache	12–12	0.00	19%	4 Aug →
vertigo	3–13	0.04	24%	29 Jul →
mirage	13–10	-0.01	23%	29 Jul →
cache	9–13	0.09	6%	29 Jul →
cache	2–13	-0.01	8%	29 Jul →
cache	13–4	0.09	19%	28 Jul →
cache	13–6	-0.01	14%	28 Jul →
cache	8–13	-0.05	13%	28 Jul →
cache	6–13	-0.03	13%	28 Jul →
dust2	12–12	-0.08	15%	2 Jul →
overpass	8–13	-0.04	12%	1 Jul →
dust2	9–13	-0.02	8%	1 Jul →
vertigo	12–12	0.03	19%	30 Jun →
vertigo	13–4	0.11	11%	30 Jun →
cache	11–13	0.05	9%	23 Jun →
cache	13–10	0.03	12%	23 Jun →
cache	13–4	0.06	15%	23 Jun →
cache	8–13	0.04	10%	23 Jun →
anubis	11–13	-0.08	15%	16 Jun →
inferno	6–13	-0.04	4%	16 Jun →
nuke	13–11	0.00	19%	16 Jun →
cache	13–1	0.05	14%	16 Jun →
inferno	15–15	0.01	9%	9 Jun →
cache	8–13	-0.08	7%	9 Jun →
cache	5–13	-0.08	9%	9 Jun →
mirage	3–13	-0.04	8%	3 Jun →
cache	10–13	-0.01	8%	3 Jun →
cache	12–12	0.01	18%	3 Jun →
ancient	8–13	-0.04	11%	2 Jun →
cache	5–13	-0.06	26%	2 Jun →
cache	12–12	-0.02	15%	2 Jun →
cache	5–13	-0.06	11%	2 Jun →
train	13–6	-0.01	8%	1 Jun →