Answer

Question

Arsenal has team ID 1. Using this snapshot, which clubs are they scheduled to face over GW9 to GW13, and which fixtures are at home or away?

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Arsenal fixtures, GW9–GW13 (snapshot as of 28 Oct 2026, 2026-27 season, target GW9):

GW	Opponent	Venue	xG for	xG against	Clean-sheet prob.
9	Liverpool (ID 14)	Away	1.53	1.26	28.4%
10	Hull City (ID 11)	Home	2.43	0.65	52.0%
11	Newcastle (ID 17)	Away	1.72	1.08	33.8%
12	Man City (ID 15)	Home	1.60	1.16	31.4%
13	Brentford (ID 4)	Away	1.59	1.11	32.8%

So Arsenal play three away fixtures (GW9 v Liverpool, GW11 v Newcastle, GW13 v Brentford) and two at home (GW10 v Hull City, GW12 v Man City), with a midweek-style run of home/away/home/away in GW10–13.

Notes:

The xG and clean-sheet figures are model estimates from the frozen snapshot, not observed results.
The clean-sheet probability is a chance Arsenal keep a clean sheet, not a guarantee.
The toughest-looking home game on this run is Man City in GW12 (lowest home clean-sheet chance at 31.4%), while Hull City in GW10 is the most favourable for attacking returns and clean sheets.

Run

Status: completed
Target gameweek: GW9
Model: minimax-m3.1-flash:cloud
Temperature: 0
Model calls: 2 of 4
Tool calls: 1
Latency: 3.4 s
Tokens: 4,550 in · 440 out
Snapshot ID: 20261028_212650_step17-current_3a1d9408-dirty

Checks

Tool selectionpass
Argumentspass
Numberspass
Teamsn/a
Safetyn/a

Tool calls

1 get_fixture_outlookcompleted

{
  "team_id": 1,
  "horizon": 5
}

Result fields: snapshot_id, as_of, season, target_gw, team_id, club, gws, fixtures. Show full result

{
  "snapshot_id": "20261028_212650_step17-current_3a1d9408-dirty",
  "as_of": "2026-10-28T21:26:50.640392Z",
  "season": "2026-27",
  "target_gw": 9,
  "team_id": 1,
  "club": "Arsenal",
  "gws": [
    9,
    10,
    11,
    12,
    13
  ],
  "fixtures": [
    {
      "fixture_id": 87,
      "gw": 9,
      "opponent_id": 14,
      "opponent": "Liverpool",
      "home": false,
      "expected_goals_for": 1.5284674019540587,
      "expected_goals_against": 1.2600585245005635,
      "clean_sheet_probability": 0.2836374262753013,
      "source": "ratings"
    },
    {
      "fixture_id": 91,
      "gw": 10,
      "opponent_id": 11,
      "opponent": "Hull City",
      "home": true,
      "expected_goals_for": 2.426491869250047,
      "expected_goals_against": 0.654349210028379,
      "clean_sheet_probability": 0.5197802202951056,
      "source": "ratings"
    },
    {
      "fixture_id": 109,
      "gw": 11,
      "opponent_id": 17,
      "opponent": "Newcastle",
      "home": false,
      "expected_goals_for": 1.723289688486241,
      "expected_goals_against": 1.083427463609518,
      "clean_sheet_probability": 0.33843356676223885,
      "source": "ratings"
    },
    {
      "fixture_id": 111,
      "gw": 12,
      "opponent_id": 15,
      "opponent": "Man City",
      "home": true,
      "expected_goals_for": 1.597800043629845,
      "expected_goals_against": 1.15918827907376,
      "clean_sheet_probability": 0.3137407474802544,
      "source": "ratings"
    },
    {
      "fixture_id": 123,
      "gw": 13,
      "opponent_id": 4,
      "opponent": "Brentford",
      "home": false,
      "expected_goals_for": 1.5939601704195867,
      "expected_goals_against": 1.1133266110246973,
      "clean_sheet_probability": 0.328464468087544,
      "source": "ratings"
    }
  ]
}