doto

doto — CS2 Stats

PRO“dogo”RetiredFinlandCoachSettings & gear profile →

76561197999584343[U:1:39318615]Steam profile ↗✓ No bans

1,890Tracked matches47%Win rate2020Tracked since
CSDB Rating5.6 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (35 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,890 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Faceit ELO: 3,240 +0 1 Sept – 23 Sept · 6 observations
3,2403,240peak 3,2401 Sept23 Sept
3,240Highest Faceit ELO seen on CSDB
52Days played since 2024-04-24

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGdotoPEAK ELO3,240csdb.gg/stats

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Performance scores

Aim74
Positioning50
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateWWLWLWLLLL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −3.0pp headshot accuracy · −15ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 20%
  • Avg reaction 491ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 531ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 538ms

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 (+2.4 against its own average).

Aim7.4
Utility6.7
Positioning5.0
Opening Duels1.8
Clutch3.6

Effective flashes

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

ZywOo

Plays most like ZywOo 83% playstyle similarity

Most alike: utility contribution, aim profile.

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

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.4
Positioning5.0
Utility6.7
Mechanics6.2
Opening Duels0.6
Win Impact3.9

Composite 5.6/10 (Solid), 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 rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time547ms−10ms
first ⅓ avg 557ms → last ⅓ avg 547ms
Headshot accuracy21.6%−3.5%
first ⅓ avg 25.0% → last ⅓ avg 21.6%

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

0.19Best match rating · 13–4 · mirage, 30 Aug →
57%Best headshot accuracy · 9–13 · mirage, 18 Oct →
359msFastest reaction time · 4–13 · inferno, 18 Apr →
13–1Biggest win · anubis, 22 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
7–7In matches decided by ≤2 rounds
17Overtime games

Map breakdown

trainBest map · 71% over 7mirageWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
ancientA2616–1062%0.02
mirageD196–1332%0.01
nukeA1810–856%-0.01
dust2B136–746%0.01
infernoA95–456%0.01
trainS75–271%0.01
overpass—42–250%-0.02
anubis—21–150%0.02
italy—10–10%0.12
vertigo—11–0100%0.13

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 19). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,996Matches
64%Win rate
1.32Avg K/D
88.0ADR
53%Headshot %

Clutches & streaks

38%1v1 clutch win
29%1v2 clutch win
22Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage20162%1.3517.2
Ancient15060%1.2817.3
Nuke10870%1.2917.2
Dust29367%1.3417.8
Anubis7054%1.4617.2
Inferno4060%1.2417.2
Overpass3361%1.3716.3
Train1267%1.4719.3

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$620Inventory value102ItemsFull inventory breakdown →
AWP | Wildfire (Minimal Wear)$106M4A4 | Temukau (Minimal Wear)$85AK-47 | Asiimov (Field-Tested)$63MP7 | Bloodsport (Well-Worn)$49FAMAS | Mecha Industries (Field-Tested)$43FAMAS | Mecha Industries (Field-Tested)$43

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.5%Headshot accuracy
34.1%Accuracy (enemy spotted)
38.4%Spray accuracy
77.7%Counter-strafing
10.6°Preaim
529msReaction time
33.0%T opening success
31.8%CT opening success
0.71Enemies flashed / flash
9.5%Flash assists
8.39HE damage / grenade
13.39Flashes / 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.

  1. 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 32.9577% — below the 40% mark we flag

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.

32% 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

MapScoreRatingHS%Date
ancient13–40.0922%30 Aug →
mirage13–40.1925%30 Aug →
ancient8–13-0.0111%30 Aug →
anubis13–10.0619%22 May →
dust27–13-0.0525%1 May →
ancient13–80.0118%1 May →
mirage9–13-0.0214%1 May →
nuke5–13-0.0231%30 Apr →
ancient13–16-0.0211%30 Apr →
mirage8–13-0.0019%28 Apr →
dust22–13-0.0524%28 Apr →
mirage10–13-0.0126%27 Apr →
ancient6–130.0217%27 Apr →
inferno6–130.0219%20 Apr →
mirage19–170.0520%20 Apr →
overpass11–13-0.0819%20 Apr →
nuke8–13-0.0321%18 Apr →
overpass13–9-0.0014%18 Apr →
inferno4–13-0.0532%18 Apr →
inferno13–90.0433%10 Apr →
nuke13–70.0520%10 Apr →
ancient13–30.0331%4 Apr →
dust27–13-0.0321%4 Apr →
mirage6–13-0.1021%4 Apr →
nuke13–9-0.0424%3 Apr →
dust213–70.0118%2 Apr →
ancient13–10.0413%2 Apr →
mirage7–13-0.0613%1 Apr →
inferno13–60.0524%30 Mar →
dust213–80.0521%30 Mar →
inferno16–140.0227%18 Mar →
ancient1–13-0.0631%18 Mar →
nuke6–13-0.0731%18 Mar →
mirage16–19-0.0122%16 Mar →
inferno9–13-0.0226%16 Mar →
ancient6–130.0037%15 Mar →
nuke7–13-0.0118%15 Mar →
ancient13–30.0524%10 Mar →
nuke11–13-0.0621%10 Mar →
overpass10–13-0.0522%10 Mar →
mirage13–60.006%9 Mar →
ancient13–100.0025%9 Mar →
ancient13–3-0.0016%6 Mar →
mirage8–13-0.0624%6 Mar →
inferno13–160.0113%6 Mar →
nuke13–11-0.0224%5 Mar →
ancient13–9-0.0218%5 Mar →
dust213–6-0.0113%5 Mar →
inferno13–8-0.0119%4 Mar →
nuke3–13-0.0719%4 Mar →
mirage14–16-0.0117%4 Mar →
dust210–130.0621%18 Oct →
mirage9–130.0157%18 Oct →
train13–40.0224%17 Oct →
nuke13–30.0727%17 Oct →
nuke13–90.0122%1 Oct →
dust211–13-0.0224%1 Sept →
ancient16–19-0.0223%1 Sept →
train13–7-0.0118%1 Sept →
train13–90.0230%28 Aug →
train12–16-0.0218%28 Aug →
mirage8–130.0427%28 Aug →
ancient10–13-0.0430%18 Aug →
ancient13–60.0418%4 Jul →
train16–130.0219%4 Jul →
ancient13–16-0.0226%1 Jul →
anubis8–13-0.0211%1 Jul →
nuke19–160.0620%1 Jul →
train9–13-0.0512%24 Jun →
dust27–14-0.0430%24 Jun →
overpass13–90.0338%31 Mar →
italy11–130.1227%31 Mar →
nuke13–5-0.0118%19 Mar →
mirage13–160.0124%30 Jan →
inferno13–50.0535%30 Jan →
dust213–50.0231%30 Jan →
ancient13–110.0826%30 Jan →
train13–40.1148%14 Nov →
nuke13–40.0112%6 Oct →
mirage9–130.1624%3 Oct →
ancient13–80.0815%27 Sept →
dust213–100.0145%18 Sept →
ancient10–130.0324%18 Sept →
dust213–70.1730%17 Sept →
ancient16–130.0125%15 Sept →
mirage13–110.0425%10 Sept →
nuke2–13-0.1315%8 Sept →
mirage11–13-0.0315%8 Sept →
mirage16–13-0.0216%30 Aug →
vertigo13–90.1334%27 Aug →
ancient13–80.0320%27 Aug →
ancient13–8-0.0219%26 Aug →
dust28–13-0.0222%22 Aug →
nuke11–13-0.0114%21 Aug →
nuke25–230.0225%19 Aug →
ancient13–110.0930%19 Aug →
nuke19–15-0.0127%8 Aug →
mirage13–90.0127%25 Apr →
ancient13–50.0831%24 Apr →
ancient10–13-0.0125%24 Apr →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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