Super League 1 · Greece · Relegation Group - 1

Kifisia–Panserraikos

1–2

HT 0–2

Kick-off: Saturday, 4 April 2026 at 13:00
Status: Match Finished

Goals and red cards

16'PanserraikosM. Tsaousis
41'PanserraikosM. Tsaousis (assist: A. Ivan)
52'KifisiaJorge Pombo (penalty)

Match statistics

Match statistics
Kifisia		Panserraikos
16	Shots	6
6	Shots on target	3
7	Shots inside the box	5
1	Goalkeeper saves	5
9	Corners	1
1	Offsides	3
66%	Possession	34%
459	Passes	243
396	Accurate passes

What we expected, and what happened

Expected goals before kick-off: Kifisia 1.96 · Panserraikos 0.75. On the pitch: 1-2.
Shots Kifisia 16 · Panserraikos 6; on target 6 and 3.
Kifisia kept the ball more (66%).

Referee

M. Matsoukas→

4.92

yellows per match

0.08

reds per match

matches of data

12 matches is a small sample — these averages are noisy and should not be read as a tendency.

Model prediction

Why this prediction?

The model puts the most likely outcome at 66.3%: “Kifisia to win”. Second comes “a draw” at 21.7%.
Behind that distribution are the expected goals: 1.96 for Kifisia, 0.75 for Panserraikos.
The highest double chance value is 88.0% (1X — Kifisia win or draw).
These values were computed from 800 past matches.

This is a prediction, not a guarantee; a probability is not a certainty.

These sentences are built by a fixed template; every number in them comes straight from the model's computation, none invented while the text was written.

Kifisia to win66.3%

Draw21.7%

Panserraikos to win12.0%

When the model has said 65–70% in the past, 1,039 of 1,527 predictions were correct (68.0%). Accuracy record →

23	Fouls	14

5	Yellow cards	2

0	Red cards	0

First half

Actual: 0–2

Kifisia lead at half-time50.6%

Level at half-time37.8%

Panserraikos lead at half-time11.6%

First-half double chance

1X — Kifisia ahead or level88.4%

12 — not level at half-time62.2%

X2 — level or Panserraikos ahead49.4%

These values are not a fraction of the full-match prediction; they come from a separate model trained on the first-half scores of 799 matches. Its edge over the base rate is markedly smaller than the full-match model's — the measured figure is on the accuracy record. Read them more cautiously. First-half goal markets are not published because they failed to beat the base rate.

Expected fouls and corners

Fouls

Kifisia: at least 14Actual: 23
Panserraikos: at least 14Actual: 14

Corners

Kifisia: at least 5Actual: 9
Panserraikos: at least 3Actual: 1

These figures are set to hold in at least 60% of matches; in the rest the count comes in below them. No upper bound is stated — we make no "at most" claim. Yellow cards were measured and are not published: there our model did not beat the historical average.

What these probabilities rest on

Expected goals comes out of a team's attack weighed against its opponent's defence. A strong attack is damped when it meets a strong defence — which is why comparing the ratings on their own is misleading.

How many goals Kifisia score1.96

Attack: Kifisia score close to the league average.

Opponent's defence: Panserraikos concede 44% more than the league average — the defence is the weakest link in this match.

Result: These two effects give an expectation of 1.96 goals (including home advantage).

How many goals Panserraikos score0.75

Attack: Panserraikos score below the league average (40% fewer).

Opponent's defence: Kifisia concede 21% more than the league average, which pushes the expectation up.

Result: These two effects give an expectation of 0.75 goals (including the away penalty).

Most likely scorelines

2–013.2%1–012.4%1–111.0%

A single scoreline is always less likely than an outcome: “home win” is the sum of 1-0, 2-0, 2-1 and dozens more. So the most likely single score can be a draw while the most likely outcome is a home win; the two do not contradict each other.

Week 1 of the season. This prediction was computed from previous seasons. Summer transfers, budget changes and squad rebuilds aren't in the ratings yet — the model can only see that a team has been rebuilt once new results come in.

We measured this and we're not hiding it: in the opening week of past seasons the model came in 3.3 points below the accuracy it claimed (n=220) — for the rest of the season it beats its own claim. The tendency points this way, though it is not proof on its own: in the opening week it slightly over-calls home wins (said 42.7%, got 39.5%) and slightly under-calls draws (said 26.1%, got 28.2%).

This sample is small and not statistically established, which is why we do not correct the model for it. The correction we tried (pulling probabilities toward the league average) didn't win on holdout, so it wasn't added. Read opening-week predictions with a little more caution.