dogs are naturally occurring

dogs are naturally occurring — CS2 Stats

76561199213556882[U:1:1253291154]Steam profile ↗✓ No bans

438Tracked matches48%Win rate2026Tracked since
375Hours in CS
CSDB Rating3.5 LearningPositional Player
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Sep 2026 (39 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 438 tracked matches. Play, then come back: the next observation lands here.

Rating over time

19Days played since 2026-07-09

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

Performance scores

Aim46
Positioning38
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY59–38–3Last 10059%Win rateWLWWLLWWLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −2.7pp headshot accuracy · +6ms 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 -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 586ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 592ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 589ms

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: Positional Player — Positioning stands above the rest of this profile (+2.1 against its own average).

Aim4.6
Utility1.9
Positioning3.8
Opening Duels1.0
Clutch0.0

Limited utility dependence

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

donk

Plays most like donk 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 593ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.6
Positioning3.8
Utility1.9
Mechanics4.0
Opening Duels0.2
Win Impact4.4

Composite 3.5/10 (Learning), 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 rating0.00−0.07
first ⅓ avg 0.08 → last ⅓ avg 0.00
Reaction time604ms−26ms
first ⅓ avg 630ms → last ⅓ avg 604ms
Headshot accuracy15.1%+0.2%
first ⅓ avg 14.9% → last ⅓ avg 15.1%

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

0.33Best match rating · 4–5 · fachwerk, 10 Jul →
60%Best headshot accuracy · 7–13 · office, 15 Jul →
430msFastest reaction time · 13–0 · office, 12 Jul →
13–0Biggest win · office, 12 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
3–5In matches decided by ≤2 rounds

Map breakdown

debrisBest map · 90% over 10fachwerkWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
officeA3219–1359%0.04
shelterA127–558%0.07
debrisS109–190%0.06
fachwerkD71–614%0.07
cacheS54–180%-0.02
mirageC52–340%-0.02
vertigo—43–175%0.06
dust2—43–175%0.07
ancient—32–167%-0.01
nuke—33–0100%0.05
inferno—32–167%0.01
train—30–30%0.03
anubis—20–20%0.06
overpass—21–150%-0.00
eldorado—21–150%0.06
poseidon—21–150%-0.10
boulder—11–0100%0.10

Across the last 100 tracked matches.

Lifetime stats

16,115Lifetime kills
0.91K/D
797Matches
45.7%Match win rate · Top 50% of tracked players
47.8%Headshot % · Top 50% of tracked players
0.0%Shot accuracy
1,356MVPs
375Hours (in match)
648Bombs planted
177Bombs defused

Most-used weapons

Lifetime map wins

892dust2
708nuke
594office
470inferno
385vertigo
241train
77italy

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

Faceit stats

Combat

33Matches
58%Win rate
0.83Avg K/D
61.1ADR
32%Headshot %

Clutches & streaks

19%1v1 clutch win
8%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust2956%0.8813.3
Nuke757%0.9111.7
Mirage729%0.6610.4
Cache683%0.8210.2
Ancient3100%0.8912.7
Anubis10%0.8612.0

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.

14.4%Headshot accuracy
34.7%Accuracy (enemy spotted)
31.1%Spray accuracy
68.0%Counter-strafing
11.3°Preaim
593msReaction time
21.0%T opening success
31.6%CT opening success
0.32Enemies flashed / flash
9.1%Flash assists
4.52HE damage / grenade
1.55Flashes / 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. 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 14.3912% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3227 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 20.964% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–10-0.0414%19 Aug →
ancient8–13-0.058%17 Aug →
cache13–3-0.0224%17 Aug →
nuke13–100.0015%7 Aug →
cache11–13-0.0418%6 Aug →
fachwerk2–60.0325%1 Aug →
inferno13–30.0715%1 Aug →
vertigo13–100.0614%30 Jul →
vertigo5–130.037%29 Jul →
dust213–30.0415%28 Jul →
anubis10–13-0.013%25 Jul →
inferno13–50.0411%22 Jul →
dust213–100.0311%18 Jul →
cache13–3-0.030%16 Jul →
ancient13–40.0111%16 Jul →
mirage10–13-0.0317%16 Jul →
dust213–10.0932%16 Jul →
office7–13-0.0360%15 Jul →
office7–130.0318%15 Jul →
office7–13-0.0217%15 Jul →
fachwerk12–120.049%15 Jul →
mirage3–13-0.108%14 Jul →
mirage6–13-0.0512%14 Jul →
ancient13–8-0.007%14 Jul →
nuke13–10.027%14 Jul →
inferno5–13-0.067%14 Jul →
office13–3-0.0127%13 Jul →
fachwerk5–13-0.037%13 Jul →
shelter3–130.0414%13 Jul →
office9–130.0611%13 Jul →
office13–20.0324%13 Jul →
shelter13–110.0516%13 Jul →
office11–130.0115%13 Jul →
office13–20.100%13 Jul →
office4–130.0124%13 Jul →
office13–100.059%13 Jul →
fachwerk5–13-0.0722%13 Jul →
cache13–80.0231%13 Jul →
office5–130.0413%12 Jul →
boulder13–80.1015%12 Jul →
train11–130.078%12 Jul →
fachwerk5–130.1010%12 Jul →
overpass13–30.0214%12 Jul →
shelter13–80.1416%12 Jul →
office13–70.0813%12 Jul →
office13–80.027%12 Jul →
office13–00.0430%12 Jul →
overpass0–13-0.020%12 Jul →
shelter8–13-0.0117%12 Jul →
debris3–9-0.170%12 Jul →
eldorado6–9-0.0512%12 Jul →
office4–130.0711%12 Jul →
office13–9-0.037%12 Jul →
shelter6–130.0518%12 Jul →
office12–12-0.0313%11 Jul →
office13–40.0640%11 Jul →
office5–130.0332%11 Jul →
debris9–40.0712%11 Jul →
debris9–40.0818%11 Jul →
debris9–5-0.049%11 Jul →
poseidon4–9-0.1922%11 Jul →
poseidon9–5-0.004%11 Jul →
debris9–20.1333%11 Jul →
debris9–30.2913%11 Jul →
office6–120.0221%11 Jul →
shelter13–40.0316%11 Jul →
shelter13–20.1726%11 Jul →
office7–130.1724%11 Jul →
office13–90.0512%11 Jul →
office7–00.2224%11 Jul →
office13–2-0.034%11 Jul →
office13–20.0335%11 Jul →
train0–60.0325%11 Jul →
train0–2-0.0250%11 Jul →
shelter13–0-0.024%11 Jul →
debris9–50.074%11 Jul →
nuke13–110.1413%11 Jul →
anubis5–130.1311%11 Jul →
debris9–00.090%11 Jul →
shelter12–120.109%11 Jul →
shelter13–100.067%10 Jul →
fachwerk13–110.0513%10 Jul →
shelter13–50.137%10 Jul →
office13–70.0117%10 Jul →
office6–00.198%10 Jul →
vertigo13–80.047%10 Jul →
office13–50.0611%10 Jul →
fachwerk4–50.336%10 Jul →
office13–7-0.0422%10 Jul →
shelter5–130.1315%10 Jul →
office0–13-0.0233%10 Jul →
mirage13–6-0.016%10 Jul →
office13–8-0.049%10 Jul →
dust29–130.1210%10 Jul →
vertigo13–30.1117%10 Jul →
office13–30.1718%10 Jul →
mirage13–60.1011%10 Jul →
debris9–40.0822%10 Jul →
debris9–50.0317%9 Jul →
eldorado9–40.1721%9 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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