anime dog uwu

anime dog uwu — CS2 Stats

GB76561198018745031[U:1:58479303]Steam profile ↗✓ No bans

2,237Tracked matches60%Win rate2020Tracked since
4,740Hours in CS4Hrs last 2 wks
CSDB Rating4.7 DevelopingSupport
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,643 → 1,643
+2Tracked matches · now 2,237
+3.3ppWin rate · 56.7% → 60.0%

Rating over time

Premier CS Rating: 18,148 -2,447 30 Dec – 29 Jun · 12 days played
17,52222,102peak 22,10230 Dec29 Jun
Faceit ELO: 1,643 +0 28 Aug – 3 Sept · 3 observations
1,6431,643peak 1,64328 Aug3 Sept
22,209Peak Premier in tracked matches
1,643Highest Faceit ELO seen on CSDB
43Days played since 2025-12-30

Faceit ELO

  • At peak — 1,643
  • Next: Level 9 at 1,751 — 108 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-28
  • Level 7 first seen 2026-08-28

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches22——
Win rate59%——
K/D1.30——
Headshot %54%——

Measured 1 Sep 2026 → 1 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGanime dog uwuPEAK ELO1,643csdb.gg/stats

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Performance scores

Aim58
Positioning38
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY43–56–1Last 10043%Win rateWWLLWWLWLW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +1.0pp headshot accuracy · −35ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 589ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 606ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 623ms

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 against its own average).

Aim5.8
Utility4.3
Positioning3.8
Opening Duels1.6
Clutch3.4

Strong CT-side openerLimited 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

NiKo

Plays most like NiKo 91% 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

T-side openings. Opening success drops from 49% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 585ms 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

Aim5.8
Positioning3.8
Utility4.3
Mechanics4.8
Opening Duels2.4
Win Impact8.3

Composite 4.7/10 (Developing), 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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time598ms−25ms
first ⅓ avg 623ms → last ⅓ avg 598ms
Headshot accuracy18.0%−4.0%
first ⅓ avg 22.0% → last ⅓ avg 18.0%

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

0.18Best match rating · 9–1 · poseidon, 10 Aug →
41%Best headshot accuracy · 13–5 · ancient, 30 Jan →
438msFastest reaction time · 1–13 · inferno, 12 Aug →
13–2Biggest win · train, 14 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
2–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 57% over 7nukeWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
ancientB2210–1245%0.00
infernoC197–1237%-0.02
mirageB179–853%-0.01
dust2C104–640%-0.00
nukeD82–625%-0.04
anubisA74–357%0.00
overpassC73–443%0.01
cacheC52–340%-0.01
vertigo—20–20%-0.05
eldorado—10–10%-0.03
poseidon—11–0100%0.18
train—11–0100%0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

113,066Lifetime kills
0.97K/D
5,442Matches
44.1%Match win rate
45.7%Headshot % · Top 50% of tracked players
15.4%Shot accuracy · Top 50% of tracked players
12,992MVPs
2,558Hours (in match)
3,912Bombs planted
1,193Bombs defused

Most-used weapons

AK-4736,951
AWP16,429
FAMAS3,684
P2501,676
UMP-451,659

Lifetime map wins

8,261inferno
3,869nuke
3,082dust2
2,805train
1,240vertigo
545cbble
159office
155lake

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

Faceit stats

Combat

1,114Matches
51%Win rate
0.98Avg K/D
80.4ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
24%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient8346%0.9615.0
Mirage6442%0.9114.9
Anubis5949%1.0617.1
Inferno5650%1.0315.4
Nuke3345%1.0917.1
Dust22343%1.0016.0
Overpass1974%1.2317.1
Vertigo1080%0.9612.4

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.

17.6%Headshot accuracy
33.5%Accuracy (enemy spotted)
33.8%Spray accuracy
71.4%Counter-strafing
10.1°Preaim
585msReaction time
14.1%T opening success
49.2%CT opening success
0.53Enemies flashed / flash
11.2%Flash assists
7.44HE damage / grenade
4.31Flashes / 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 14.0701% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–110.0913%4 Sept →
anubis13–10-0.0323%4 Sept →
cache9–13-0.0725%19 Aug →
mirage3–13-0.0222%19 Aug →
dust213–90.0323%12 Aug →
cache13–4-0.0111%12 Aug →
inferno1–13-0.0914%12 Aug →
anubis13–50.0028%12 Aug →
mirage5–13-0.0519%12 Aug →
mirage16–14-0.0715%10 Aug →
ancient13–40.0129%10 Aug →
ancient8–13-0.0719%10 Aug →
eldorado7–9-0.0315%10 Aug →
vertigo4–9-0.0831%10 Aug →
poseidon9–10.1822%10 Aug →
inferno6–9-0.0417%10 Aug →
nuke1–9-0.170%10 Aug →
inferno13–8-0.0213%9 Aug →
mirage13–60.0213%4 Aug →
dust28–13-0.0426%4 Aug →
ancient13–90.0514%4 Aug →
mirage13–80.1415%10 Jul →
cache9–130.0515%9 Jul →
dust213–90.1622%9 Jul →
ancient11–130.0114%29 Jun →
inferno13–4-0.0321%29 Jun →
dust213–9-0.0413%29 Jun →
anubis13–6-0.0112%29 Jun →
ancient13–50.0121%29 Jun →
anubis14–16-0.0113%29 Jun →
inferno11–13-0.059%29 Jun →
ancient3–130.0026%27 Jun →
mirage13–60.0020%25 Jun →
ancient13–80.0123%24 Jun →
inferno7–13-0.035%14 Jun →
cache13–7-0.0125%3 Jun →
mirage9–130.0024%3 Jun →
overpass7–130.0215%3 Jun →
ancient10–13-0.0912%3 Jun →
cache12–12-0.0015%8 May →
ancient11–130.0121%28 Apr →
dust211–13-0.0631%28 Apr →
inferno7–13-0.0615%28 Apr →
anubis9–130.0125%28 Apr →
nuke13–50.0421%31 Mar →
mirage13–100.0621%31 Mar →
dust26–13-0.0622%23 Mar →
ancient6–8-0.0532%23 Mar →
overpass13–50.0919%14 Mar →
inferno4–00.0529%14 Mar →
train13–20.0520%14 Mar →
vertigo9–13-0.0130%14 Mar →
mirage9–13-0.0818%14 Mar →
inferno8–13-0.0135%2 Mar →
inferno10–130.0523%2 Mar →
ancient20–22-0.0023%20 Feb →
ancient13–50.1725%20 Feb →
ancient4–13-0.0624%18 Feb →
anubis5–13-0.0823%17 Feb →
ancient7–13-0.0816%16 Feb →
nuke6–13-0.0827%14 Feb →
mirage8–13-0.0624%14 Feb →
overpass8–13-0.0014%12 Feb →
anubis13–80.1119%12 Feb →
overpass13–4-0.0529%12 Feb →
inferno13–6-0.0625%12 Feb →
ancient13–70.0322%11 Feb →
overpass13–16-0.0320%11 Feb →
inferno1–13-0.0533%10 Feb →
nuke9–13-0.0418%10 Feb →
ancient5–13-0.019%10 Feb →
dust213–160.0419%10 Feb →
dust24–13-0.0214%8 Feb →
dust213–160.0031%8 Feb →
overpass13–40.0117%8 Feb →
inferno9–13-0.0322%7 Feb →
dust213–8-0.0518%6 Feb →
nuke9–13-0.0913%6 Feb →
ancient5–13-0.0516%6 Feb →
mirage13–70.0230%6 Feb →
mirage13–80.0330%5 Feb →
inferno5–13-0.0516%4 Feb →
inferno13–20.0927%3 Feb →
ancient13–50.0941%30 Jan →
ancient13–70.0513%30 Jan →
ancient11–13-0.0522%30 Jan →
inferno13–9-0.0029%29 Jan →
ancient13–40.0213%20 Jan →
nuke13–160.0537%16 Jan →
mirage13–40.0213%16 Jan →
inferno6–13-0.0137%16 Jan →
mirage10–130.0129%5 Jan →
inferno5–130.0115%5 Jan →
nuke9–13-0.0619%2 Jan →
mirage7–13-0.0429%2 Jan →
inferno13–6-0.0014%2 Jan →
mirage6–13-0.0616%1 Jan →
overpass11–130.0319%1 Jan →
mirage13–5-0.0715%31 Dec →
nuke13–90.0031%30 Dec →

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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