僵尸猪人

僵尸猪人 — CS2 Stats

76561198417754488[U:1:457488760]Steam profile ↗✓ No bans

385Tracked matches47%Win rate2020Tracked since
CSDB Rating6.9 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (60 days ago). Ranks are recorded once per day this page is viewed.

+14Tracked matches · now 385
+3.3ppWin rate · 43.3% → 46.7%

Rating over time

41Days played since 2025-10-24

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

Performance scores

Aim90
Positioning58
Utility78

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateWWLLLLWLLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +0.4pp headshot accuracy · +17ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 552ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 522ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 513ms

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 (+2.6 against its own average).

Aim9.0
Utility7.8
Positioning5.8
Opening Duels3.7
Clutch3.6

Sharp aimerExcellent counter-strafingEffective flashesHigh utility contribution

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 92% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.6° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 50% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.0
Positioning5.8
Utility7.8
Mechanics8.5
Opening Duels2.5
Win Impact3.9

Composite 6.9/10 (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 rating-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time528ms+9ms
first ⅓ avg 519ms → last ⅓ avg 528ms
Headshot accuracy18.2%−1.4%
first ⅓ avg 19.5% → last ⅓ avg 18.2%

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

0.15Best match rating · 13–5 · dust2, 27 Sept →
55%Best headshot accuracy · 4–13 · ancient, 11 Mar →
375msFastest reaction time · 7–13 · inferno, 30 Dec →
13–0Biggest win · ancient, 27 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
10–9In matches decided by ≤2 rounds
16Overtime games

Map breakdown

dust2Best map · 57% over 23infernoWeakest map · 50% over 24
MapGradePlayedRecordWin rateAvg rating
ancientB2714–1352%-0.02
infernoB2412–1250%-0.00
dust2A2313–1057%-0.01
mirageB189–950%-0.02
nuke—31–233%-0.01
anubis—21–150%-0.02
cache—10–10%-0.02
overpass—11–0100%-0.03
train—11–0100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

437Matches
67%Win rate
1.33Avg K/D
74.9ADR
51%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
14Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage5463%1.1813.7
Ancient4955%1.2113.1
Inferno3861%1.0413.1
Dust23358%1.1714.0
Anubis1867%1.0513.5
Nuke1675%1.2813.7
Overpass956%1.1417.3
Train367%1.2918.3

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.

17.1%Headshot accuracy
42.1%Accuracy (enemy spotted)
50.6%Spray accuracy
88.3%Counter-strafing
10.6°Preaim
526msReaction time
27.6%T opening success
50.0%CT opening success
0.73Enemies flashed / flash
18.7%Flash assists
11.19HE damage / grenade
16.81Flashes / 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 27.6424% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
inferno13–70.0124%27 Sept →
dust213–50.1520%27 Sept →
mirage7–13-0.1013%25 Sept →
cache12–16-0.0213%25 Sept →
inferno0–13-0.1122%24 Sept →
dust22–13-0.0621%24 Sept →
inferno13–7-0.0318%23 Sept →
dust23–13-0.0518%23 Sept →
ancient11–13-0.0116%23 Sept →
mirage13–6-0.0118%22 Sept →
dust213–6-0.0214%22 Sept →
ancient5–13-0.0915%27 Aug →
mirage14–16-0.0518%27 Aug →
nuke13–7-0.0210%27 Aug →
mirage8–13-0.0222%26 Aug →
nuke10–13-0.019%26 Aug →
inferno13–100.019%25 Aug →
ancient13–5-0.0122%25 Aug →
mirage11–13-0.0030%25 Aug →
ancient13–110.1130%30 May →
ancient13–0-0.040%27 Apr →
ancient15–19-0.0219%8 Apr →
ancient6–13-0.0626%26 Mar →
anubis6–13-0.0610%26 Mar →
dust29–13-0.0624%26 Mar →
mirage13–7-0.028%26 Mar →
inferno7–13-0.0411%25 Mar →
dust213–30.0219%25 Mar →
mirage13–60.0215%25 Mar →
dust213–70.0417%24 Mar →
ancient13–6-0.0429%24 Mar →
inferno13–160.0424%23 Mar →
mirage13–90.0338%23 Mar →
dust210–13-0.0116%23 Mar →
dust216–120.0725%22 Mar →
anubis22–190.0217%22 Mar →
ancient6–13-0.0028%22 Mar →
ancient4–13-0.0715%21 Mar →
inferno13–16-0.0213%21 Mar →
ancient7–13-0.039%21 Mar →
dust27–13-0.0539%21 Mar →
ancient4–13-0.0055%11 Mar →
dust27–13-0.0512%11 Mar →
ancient16–13-0.0118%10 Mar →
inferno13–8-0.0312%10 Mar →
inferno11–13-0.0316%9 Mar →
ancient22–25-0.0410%9 Mar →
inferno13–40.0514%9 Mar →
inferno13–70.0419%24 Feb →
dust213–4-0.0119%24 Feb →
mirage10–13-0.0119%24 Feb →
mirage13–50.0336%22 Feb →
ancient13–5-0.0324%22 Feb →
dust213–11-0.0022%20 Feb →
overpass13–10-0.038%18 Feb →
inferno13–70.0024%18 Feb →
ancient9–13-0.0518%7 Feb →
dust25–13-0.0526%7 Feb →
dust213–7-0.0220%6 Feb →
dust213–7-0.0220%6 Feb →
ancient13–110.0229%6 Feb →
dust28–13-0.0721%24 Jan →
ancient11–13-0.0529%24 Jan →
inferno13–11-0.0317%23 Jan →
dust213–90.0230%23 Jan →
dust213–40.0628%17 Jan →
mirage7–13-0.1015%17 Jan →
ancient13–10-0.0113%17 Jan →
ancient13–110.0125%30 Dec →
inferno7–13-0.069%30 Dec →
dust29–13-0.0729%30 Dec →
mirage9–13-0.0639%30 Dec →
ancient19–17-0.0220%29 Dec →
dust26–130.0029%29 Dec →
inferno16–14-0.0214%29 Dec →
ancient13–3-0.0319%27 Dec →
mirage13–7-0.0218%27 Dec →
inferno8–13-0.0317%27 Dec →
inferno10–130.0525%17 Nov →
inferno10–130.1224%16 Nov →
ancient11–13-0.0216%13 Nov →
inferno11–13-0.019%13 Nov →
dust213–4-0.0119%13 Nov →
mirage10–13-0.059%13 Nov →
dust213–90.0134%13 Nov →
ancient14–16-0.0418%13 Nov →
inferno13–80.0228%12 Nov →
mirage19–150.0615%12 Nov →
nuke7–13-0.0117%11 Nov →
inferno2–13-0.026%11 Nov →
mirage13–11-0.0118%8 Nov →
inferno6–130.0227%8 Nov →
ancient16–130.0319%8 Nov →
ancient16–13-0.0520%5 Nov →
inferno13–9-0.0114%5 Nov →
mirage13–110.0319%26 Oct →
train13–110.0218%26 Oct →
mirage11–13-0.0517%24 Oct →
ancient19–15-0.0025%24 Oct →
inferno13–50.0818%24 Oct →

Match data via Leetify.

Recent teammates

Milestones

100 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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