diff --git a/.github/workflows/attributes.yml b/.github/workflows/attributes.yml
index 2a096ca9..a215eac3 100644
--- a/.github/workflows/attributes.yml
+++ b/.github/workflows/attributes.yml
@@ -19,7 +19,7 @@ jobs:
 
       - uses: actions/setup-python@v4
         with:
-          python-version: "3.12"
+          python-version: "3.13"
 
       - name: Install package
         run: python -m pip install .
diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml
index 8311d540..058ee0d6 100644
--- a/.github/workflows/main.yml
+++ b/.github/workflows/main.yml
@@ -32,7 +32,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.10", "3.12"]  # test oldest and latest supported versions
+        python-version: ["3.10", "3.13"]  # test oldest and latest supported versions
         runs-on: [ubuntu-latest, macos-latest]  # can be extended to other OSes, e.g. [ubuntu-latest, macos-latest, windows-latest]
 
     steps:
diff --git a/.python-version b/.python-version
index e4fba218..24ee5b1b 100644
--- a/.python-version
+++ b/.python-version
@@ -1 +1 @@
-3.12
+3.13
diff --git a/Dockerfile b/Dockerfile
index 91491215..c551e7a0 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,4 @@
-FROM python:3.12-slim-bookworm
+FROM python:3.13-slim-bookworm
 
 WORKDIR /airsenal
 COPY . /airsenal
diff --git a/README.md b/README.md
index 4bebadfc..bc90750a 100644
--- a/README.md
+++ b/README.md
@@ -18,8 +18,6 @@ Our own AIrsenal team's ID for the 2025/26 season is **[742663](https://fantasy.
 
 ## Installation
 
-⚠️ Due to a dependency that currently forces AIrsenal to use an older version of `jaxlib`, AIrsenal doesn't work on Python 3.13 or later.
-
 We recommend using [uv](https://docs.astral.sh/uv/) for managing Python versions and dependencies. For instructions on how to install uv, go to: https://docs.astral.sh/uv/getting-started/installation/.
 
 ### Installation from source [Recommended]
diff --git a/airsenal/framework/FPL_scoring_rules.py b/airsenal/framework/FPL_scoring_rules.py
index 3ecb9394..e296ea56 100644
--- a/airsenal/framework/FPL_scoring_rules.py
+++ b/airsenal/framework/FPL_scoring_rules.py
@@ -16,6 +16,10 @@
 
 saves_for_point = 3
 
+def_cons_required = {"GK": 999, "DEF": 10, "MID": 12, "FWD": 12}
+
+points_for_def_cons = 2
+
 
 def get_appearance_points(minutes):
     """
diff --git a/airsenal/framework/prediction_utils.py b/airsenal/framework/prediction_utils.py
index 1503290b..da72bd38 100644
--- a/airsenal/framework/prediction_utils.py
+++ b/airsenal/framework/prediction_utils.py
@@ -10,12 +10,15 @@
 import numpy as np
 import pandas as pd
 from scipy.stats import multinomial
+from sqlalchemy import and_
 from sqlalchemy.orm.session import Session
 
 from airsenal.framework.FPL_scoring_rules import (
+    def_cons_required,
     get_appearance_points,
     points_for_assist,
     points_for_cs,
+    points_for_def_cons,
     points_for_goal,
     points_for_red_card,
     points_for_yellow_card,
@@ -296,6 +299,33 @@ def get_bonus_points(
     return df_bonus[1].loc[player_id]
 
 
+def get_def_con_points(
+    player_id: int, minutes: int | float, df_def_con: tuple[pd.Series, pd.Series]
+) -> float:
+    """
+    Returns expected defensive contribution points scored by player_id when playing
+    minutes minutes.
+
+    df_def_con : Tuple containing df of average def_con_pts scored when playing at least
+    60 minutes in 1st index, and when playing between 30 and 60 minutes in 2nd index
+    (as calculated by fit_def_con_points()).
+
+    NOTE: Minutes values are currently hardcoded - this function and fit_def_con_points
+    must be changed together.
+    """
+    if minutes >= 60 and player_id in df_def_con[0].index:
+        print("Def cons points for", player_id, df_def_con[0].loc[player_id])  # DEBUG
+        return df_def_con[0].loc[player_id]
+    if (
+        minutes >= 60
+        or (minutes >= 30 and player_id not in df_def_con[1].index)
+        or minutes < 30
+    ):
+        return 0
+    print("Def cons points for", player_id, df_def_con[1].loc[player_id])  # DEBUG
+    return df_def_con[1].loc[player_id]
+
+
 def get_save_points(
     position: str, player_id: int, minutes: int | float, df_saves: pd.Series
 ) -> float:
@@ -331,6 +361,7 @@ def calc_predicted_points_for_player(
     df_bonus: tuple[pd.Series, pd.Series] | None,
     df_saves: pd.Series | None,
     df_cards: pd.Series | None,
+    df_def_con: tuple[pd.Series, pd.Series] | None,
     season: str,
     gw_range: list[int] | None = None,
     fixtures_behind: int | None = None,
@@ -457,6 +488,8 @@ def calc_predicted_points_for_player(
                     points += get_save_points(
                         position, player.player_id, mins, df_saves
                     )
+                if df_def_con is not None:
+                    points += get_def_con_points(player.player_id, mins, df_def_con)
 
             points /= len(recent_minutes)
 
@@ -479,6 +512,7 @@ def calc_predicted_points_for_pos(
     df_bonus: tuple[pd.Series, pd.Series] | None,
     df_saves: pd.Series | None,
     df_cards: pd.Series | None,
+    df_def_con: tuple[pd.Series, pd.Series] | None,
     season: str,
     gw_range: list[int],
     tag: str,
@@ -498,6 +532,7 @@ def calc_predicted_points_for_pos(
             df_bonus=df_bonus,
             df_saves=df_saves,
             df_cards=df_cards,
+            df_def_con=df_def_con,
             season=season,
             gw_range=gw_range,
             tag=tag,
@@ -679,6 +714,7 @@ def get_player_scores(
     gameweek: int,
     min_minutes: int = 0,
     max_minutes: int = 90,
+    position: str | None = None,
     dbsession: Session = session,
 ) -> pd.DataFrame:
     """
@@ -691,6 +727,16 @@ def get_player_scores(
         .filter(PlayerScore.minutes <= max_minutes)
         .join(Fixture)
     )
+    if position:
+        query = query.join(
+            PlayerAttributes,
+            and_(
+                PlayerAttributes.player_id == PlayerScore.player_id,
+                PlayerAttributes.season == Fixture.season,
+                PlayerAttributes.gameweek == Fixture.gameweek,
+            ),
+        ).filter(PlayerAttributes.position == position)
+
     df = pd.read_sql(query.statement, dbsession.connection())
 
     is_fut = partial(is_future_gameweek, current_season=season, next_gameweek=gameweek)
@@ -805,3 +851,47 @@ def fit_card_points(
     )
 
     return mean_group_min_count(df, "player_id", "card_pts", min_count=min_matches)
+
+
+def fit_def_con(
+    gameweek: int = NEXT_GAMEWEEK,
+    season: str = CURRENT_SEASON,
+    min_matches: int = 10,
+    dbsession: Session = session,
+) -> tuple[pd.Series, pd.Series]:
+    """
+    Calculate the average defensive contribution points scored by each player for
+    matches they play between 60 and 90 minutes, and matches they play between 30 and
+    59 minutes.
+    Mean is calculated as sum of all bonus points divided by either the number of
+    maches the player has played in or min_matches, whichever is greater.
+
+    Returns tuple of dataframes - first index bonus points for 60 to 90 mins, second
+    index bonus points for 30 to 59 mins.
+    """
+
+    def get_def_con_df(min_minutes, max_minutes):
+        dfs = []
+        for position in ["DEF", "MID", "FWD"]:
+            df = get_player_scores(
+                season,
+                gameweek,
+                min_minutes=min_minutes,
+                max_minutes=max_minutes,
+                position=position,
+                dbsession=dbsession,
+            ).dropna(subset="defensive_contribution")
+            df["def_con_pts"] = (
+                df["defensive_contribution"] / def_cons_required[position]
+            ).astype(int) * points_for_def_cons
+            dfs.append(df)
+
+        df = pd.concat(dfs)
+        return mean_group_min_count(
+            df, "player_id", "def_con_pts", min_count=min_matches
+        )
+
+    df_90 = get_def_con_df(60, 90)
+    df_60 = get_def_con_df(30, 59)
+
+    return (df_90, df_60)
diff --git a/airsenal/scripts/fill_predictedscore_table.py b/airsenal/scripts/fill_predictedscore_table.py
index 36451318..a6952891 100644
--- a/airsenal/scripts/fill_predictedscore_table.py
+++ b/airsenal/scripts/fill_predictedscore_table.py
@@ -26,6 +26,7 @@
     calc_predicted_points_for_player,
     fit_bonus_points,
     fit_card_points,
+    fit_def_con,
     fit_save_points,
     get_all_fitted_player_data,
 )
@@ -49,6 +50,7 @@ def allocate_predictions(
     df_bonus: tuple,
     df_saves: Series,
     df_cards: Series,
+    df_def_con: tuple[Series, Series],
     season: str,
     tag: str,
     dbsession: Session,
@@ -69,6 +71,7 @@ def allocate_predictions(
             df_bonus,
             df_saves,
             df_cards,
+            df_def_con,
             season,
             gw_range=gw_range,
             tag=tag,
@@ -86,6 +89,7 @@ def calc_all_predicted_points(
     include_bonus: bool = True,
     include_cards: bool = True,
     include_saves: bool = True,
+    include_def_con: bool = True,
     num_thread: int = 4,
     tag: str = "",
     player_model: NumpyroPlayerModel | ConjugatePlayerModel | None = None,
@@ -129,6 +133,10 @@ def calc_all_predicted_points(
         df_cards = fit_card_points(gameweek=gw_range[0], season=season)
     else:
         df_cards = None
+    if include_def_con:
+        df_def_con = fit_def_con(gameweek=gw_range[0], season=season)
+    else:
+        df_def_con = None
 
     players = list_players(season=season, gameweek=gw_range[0], dbsession=dbsession)
 
@@ -146,6 +154,7 @@ def calc_all_predicted_points(
                     df_bonus,
                     df_saves,
                     df_cards,
+                    df_def_con,
                     season,
                     tag,
                     dbsession,
@@ -172,6 +181,7 @@ def calc_all_predicted_points(
                 df_bonus,
                 df_saves,
                 df_cards,
+                df_def_con,
                 season,
                 gw_range=gw_range,
                 tag=tag,
@@ -190,6 +200,7 @@ def make_predictedscore_table(
     include_bonus: bool = True,
     include_cards: bool = True,
     include_saves: bool = True,
+    include_def_con: bool = True,
     tag_prefix: str | None = None,
     player_model: NumpyroPlayerModel | ConjugatePlayerModel | None = None,
     team_model: ExtendedDixonColesMatchPredictor
@@ -212,6 +223,7 @@ def make_predictedscore_table(
         include_bonus=include_bonus,
         include_cards=include_cards,
         include_saves=include_saves,
+        include_def_con=include_def_con,
         num_thread=num_thread,
         tag=tag,
         player_model=player_model,
diff --git a/pyproject.toml b/pyproject.toml
index d02ccfb0..5d5bd85a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -9,26 +9,26 @@ authors = [
 ]
 readme = "README.md"
 license = {file = "LICENSE"}
-requires-python = ">=3.10,<3.13"
+requires-python = ">=3.10,<4"
 dependencies = [
+  "beautifulsoup4>=4.13.5",
   "bpl @ git+https://github.com/anguswilliams91/bpl-next",
-  "click>=8.1.7",
-  "pandas>=2.2.1",
-  "requests>=2.31.0",
-  "sqlalchemy>=2.0.27",
-  "tqdm>=4.66.2",
-  "dateparser>=1.2.0",
-  "prettytable>=3.10.0",
-  "beautifulsoup4>=4.12.3",
-  "platformdirs>=4.2.0",
-  "deap>=1.4.1",
-  "python-dateutil>=2.8.2",
-  "lxml>=5.1.0",
-  "html5lib>=1.1",
-  "jax==0.4.24",
-  "jaxlib==0.4.24",
-  "numpy>1,<2",
+  "click>=8.3.0",
   "curl-cffi>=0.13.0",
+  "dateparser>=1.2.2",
+  "deap>=1.4.3",
+  "html5lib>=1.1",
+  "jax>=0.6.2",
+  "jaxlib>=0.6.2",
+  "lxml>=6.0.1",
+  "numpy>=2.2.6",
+  "pandas>=2.3.2",
+  "platformdirs>=4.4.0",
+  "prettytable>=3.16.0",
+  "python-dateutil>=2.9.0.post0",
+  "requests>=2.32.5",
+  "sqlalchemy>=2.0.43",
+  "tqdm>=4.67.1",
 ]
 
 [tool.hatch.metadata]
diff --git a/uv.lock b/uv.lock
index ab095190..f40aac81 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,8 +1,10 @@
 version = 1
-revision = 2
-requires-python = ">=3.10, <3.13"
+revision = 3
+requires-python = ">=3.10, <4"
 resolution-markers = [
-    "python_full_version >= '3.12'",
+    "python_full_version >= '3.14'",
+    "python_full_version == '3.13.*'",
+    "python_full_version == '3.12.*'",
     "python_full_version == '3.11.*'",
     "python_full_version < '3.11'",
 ]
@@ -19,10 +21,13 @@ dependencies = [
     { name = "dateparser" },
     { name = "deap" },
     { name = "html5lib" },
-    { name = "jax" },
-    { name = "jaxlib" },
+    { name = "jax", version = "0.6.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
+    { name = "jax", version = "0.7.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "jaxlib", version = "0.6.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
+    { name = "jaxlib", version = "0.7.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
     { name = "lxml" },
-    { name = "numpy" },
+    { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
+    { name = "numpy", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
     { name = "pandas" },
     { name = "platformdirs" },
     { name = "prettytable" },
@@ -57,34 +62,34 @@ plot = [
 
 [package.metadata]
 requires-dist = [
-    { name = "beautifulsoup4", specifier = ">=4.12.3" },
+    { name = "beautifulsoup4", specifier = ">=4.13.5" },
     { name = "bpl", git = "https://github.com/anguswilliams91/bpl-next" },
-    { name = "click", specifier = ">=8.1.7" },
+    { name = "click", specifier = ">=8.3.0" },
     { name = "curl-cffi", specifier = ">=0.13.0" },
-    { name = "dateparser", specifier = ">=1.2.0" },
-    { name = "deap", specifier = ">=1.4.1" },
+    { name = "dateparser", specifier = ">=1.2.2" },
+    { name = "deap", specifier = ">=1.4.3" },
     { name = "flask", marker = "extra == 'api'", specifier = ">=3.0.2" },
     { name = "html5lib", specifier = ">=1.1" },
-    { name = "jax", specifier = "==0.4.24" },
-    { name = "jaxlib", specifier = "==0.4.24" },
+    { name = "jax", specifier = ">=0.6.2" },
+    { name = "jaxlib", specifier = ">=0.6.2" },
     { name = "jupyterlab", marker = "extra == 'notebook'", specifier = ">=4.1.2" },
-    { name = "lxml", specifier = ">=5.1.0" },
+    { name = "lxml", specifier = ">=6.0.1" },
     { name = "matplotlib", marker = "extra == 'plot'", specifier = ">=3.8.3" },
     { name = "mypy", marker = "extra == 'dev'", specifier = ">=1.17.0" },
-    { name = "numpy", specifier = ">1,<2" },
-    { name = "pandas", specifier = ">=2.2.1" },
-    { name = "platformdirs", specifier = ">=4.2.0" },
+    { name = "numpy", specifier = ">=2.2.6" },
+    { name = "pandas", specifier = ">=2.3.2" },
+    { name = "platformdirs", specifier = ">=4.4.0" },
     { name = "pre-commit", marker = "extra == 'dev'", specifier = ">=3.6.2" },
-    { name = "prettytable", specifier = ">=3.10.0" },
+    { name = "prettytable", specifier = ">=3.16.0" },
     { name = "pytest", marker = "extra == 'dev'", specifier = ">=8.0.1" },
     { name = "pytest-cov", marker = "extra == 'dev'", specifier = ">=4.1.0" },
     { name = "pytest-sugar", marker = "extra == 'dev'", specifier = ">=1.0.0" },
-    { name = "python-dateutil", specifier = ">=2.8.2" },
-    { name = "requests", specifier = ">=2.31.0" },
+    { name = "python-dateutil", specifier = ">=2.9.0.post0" },
+    { name = "requests", specifier = ">=2.32.5" },
     { name = "ruff", marker = "extra == 'dev'", specifier = ">=0.12.5" },
     { name = "seaborn", marker = "extra == 'plot'", specifier = ">=0.13.2" },
-    { name = "sqlalchemy", specifier = ">=2.0.27" },
-    { name = "tqdm", specifier = ">=4.66.2" },
+    { name = "sqlalchemy", specifier = ">=2.0.43" },
+    { name = "tqdm", specifier = ">=4.67.1" },
     { name = "types-dateparser", marker = "extra == 'dev'", specifier = ">=1.2.2.20250627" },
     { name = "types-python-dateutil", marker = "extra == 'dev'", specifier = ">=2.9.0.20250708" },
     { name = "types-requests", marker = "extra == 'dev'", specifier = ">=2.32.4.20250611" },
@@ -99,7 +104,7 @@ dependencies = [
     { name = "exceptiongroup", marker = "python_full_version < '3.11'" },
     { name = "idna" },
     { name = "sniffio" },
-    { name = "typing-extensions" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/f1/b4/636b3b65173d3ce9a38ef5f0522789614e590dab6a8d505340a4efe4c567/anyio-4.10.0.tar.gz", hash = "sha256:3f3fae35c96039744587aa5b8371e7e8e603c0702999535961dd336026973ba6", size = 213252, upload-time = "2025-08-04T08:54:26.451Z" }
 wheels = [
@@ -136,6 +141,16 @@ dependencies = [
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/5c/2d/db8af0df73c1cf454f71b2bbe5e356b8c1f8041c979f505b3d3186e520a9/argon2_cffi_bindings-25.1.0.tar.gz", hash = "sha256:b957f3e6ea4d55d820e40ff76f450952807013d361a65d7f28acc0acbf29229d", size = 1783441, upload-time = "2025-07-30T10:02:05.147Z" }
 wheels = [
+    { url = "https://files.pythonhosted.org/packages/60/97/3c0a35f46e52108d4707c44b95cfe2afcafc50800b5450c197454569b776/argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_10_13_universal2.whl", hash = "sha256:3d3f05610594151994ca9ccb3c771115bdb4daef161976a266f0dd8aa9996b8f", size = 54393, upload-time = "2025-07-30T10:01:40.97Z" },
+    { url = "https://files.pythonhosted.org/packages/9d/f4/98bbd6ee89febd4f212696f13c03ca302b8552e7dbf9c8efa11ea4a388c3/argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:8b8efee945193e667a396cbc7b4fb7d357297d6234d30a489905d96caabde56b", size = 29328, upload-time = "2025-07-30T10:01:41.916Z" },
+    { url = "https://files.pythonhosted.org/packages/43/24/90a01c0ef12ac91a6be05969f29944643bc1e5e461155ae6559befa8f00b/argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:3c6702abc36bf3ccba3f802b799505def420a1b7039862014a65db3205967f5a", size = 31269, upload-time = "2025-07-30T10:01:42.716Z" },
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+    { url = "https://files.pythonhosted.org/packages/0d/82/b484f702fec5536e71836fc2dbc8c5267b3f6e78d2d539b4eaa6f0db8bf8/argon2_cffi_bindings-25.1.0-cp314-cp314t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e2fd3bfbff3c5d74fef31a722f729bf93500910db650c925c2d6ef879a7e51cb", size = 92364, upload-time = "2025-07-30T10:01:44.887Z" },
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 [[package]]
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 version = "0.13.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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     { name = "multipledispatch" },
-    { name = "numpy" },
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