StatsBomb360_App/app.py at main · AKapich/StatsBomb360_App · GitHub

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import streamlit as st
from streamlit_extras.badges import badge
from auxiliary import (
    match_dict,
    matches,
    create_timestring,
    get_event_dict,
    create_plot,
    shot_freeze_frame,
)
from statsbombpy import sb
import pandas as pd


st.set_page_config(
    page_title="Euro 2024: StatsBomb 360° Data Explorer",
    page_icon="https://raw.githubusercontent.com/AKapich/StatsBomb360_App/main/logos/eurologo.ico",
)


st.title("Euro 2024: StatsBomb 360° Tool")
st.markdown(
    "*Platform providing insight into StatsBomb 360° data for every Euro 2024 match*"
)
st.markdown("---")

st.sidebar.image(
    "https://raw.githubusercontent.com/AKapich/StatsBomb360_App/main/logos/EURO2024.png"
)

# dropdown for choosing the match
st.sidebar.title("Select Match")
selected_match = st.sidebar.selectbox("Match:", match_dict.keys(), index=1)

mode = st.sidebar.selectbox("Choose mode:", ["Timestamp Slider", "Shot Freeze Frame"])

match_id = match_dict[selected_match]
home_team = selected_match.split(" - ")[0]
away_team = selected_match.split(" - ")[1]
competition_stage = matches[matches["match_id"] == match_id].iloc[0][
    "competition_stage"
]


# data
frame_df = sb.frames(match_id=match_id, fmt="dataframe")
frame_df = frame_df.rename(columns={"location": "player_location"})
event_df = sb.events(match_id=match_id)
event_df["timestring"] = event_df.apply(create_timestring, axis=1)

df = pd.merge(frame_df, event_df, on="id", how="right")
df = df.sort_values("timestring")

if mode == "Timestamp Slider":
    chosen_timestamp = st.select_slider(
        "Select timestamp",
        options=df[(df["visible_area"].notna()) | (df["type"] == "Shot")][
            "timestring"
        ].unique(),
    )
    event_dict = get_event_dict(df=df, chosen_timestamp=chosen_timestamp)

    displayed_event = st.selectbox("Select event", options=event_dict.keys())
    voronoi = st.checkbox("Highlight controlled space")

    st.pyplot(
        create_plot(
            df,
            event_dict,
            chosen_timestamp,
            displayed_event,
            voronoi,
            home_team,
            away_team,
        )
    )

elif mode == "Shot Freeze Frame":
    tab1, tab2 = st.tabs(["📈 Charts", "📄 Shot Info"])
    shot_info = event_df[event_df["shot_outcome"].notna()][
        [
            "player",
            "timestring",
            "shot_outcome",
            "shot_statsbomb_xg",
            "shot_technique",
            "shot_body_part",
        ]
    ]
    shot_info.index = range(1, len(shot_info) + 1)

    with tab1:
        shot_cols = [
            "player",
            "team",
            "timestring",
            "shot_outcome",
            "shot_freeze_frame",
            "location",
            "shot_end_location",
        ]
        shot_df = event_df[event_df["shot_outcome"].notna()][shot_cols]
        shot_df["tag"] = (
            shot_df["player"]
            + " - "
            + shot_df["timestring"]
            + " ( "
            + shot_df["shot_outcome"]
            + " )"
        )

        tag = st.selectbox("Choose shot", options=shot_df["tag"].to_list())
        keeper_cone = st.checkbox("Highlight Keeper Cone View")

        st.pyplot(shot_freeze_frame(shot_df, tag, home_team, away_team, keeper_cone))

    with tab2:
        shot_info.columns = [
            "Player",
            "Timestamp",
            "Shot Outcome",
            "xG",
            "Technique",
            "Body Part",
        ]
        st.dataframe(shot_info)


st.markdown("---")
st.image(
    "https://raw.githubusercontent.com/AKapich/StatsBomb360_App/main/logos/sb_icon.png",
    caption="App made by Aleks Kapich. Data powered by StatsBomb",
    use_container_width=True,
)

# signature
st.sidebar.markdown("---")
col1, col2 = st.columns(2)
with col1:
    st.sidebar.markdown("App made by **Aleks Kapich**")
with col2:
    with st.sidebar:
        badge(type="twitter", name="AKapich")
        badge(type="github", name="AKapich")
        badge(type="buymeacoffee", name="akapich")