diff --git a/polars/polars-core/src/series/comparison.rs b/polars/polars-core/src/series/comparison.rs
index b9ad98d3132e..00dfcb9bea76 100644
--- a/polars/polars-core/src/series/comparison.rs
+++ b/polars/polars-core/src/series/comparison.rs
@@ -1,12 +1,6 @@
 //! Comparison operations on Series.
 
-#[cfg(any(
-    feature = "dtype-duration",
-    feature = "dtype-datetime",
-    feature = "dtype-date",
-    feature = "dtype-time",
-    feature = "dtype-struct"
-))]
+#[cfg(feature = "dtype-struct")]
 use std::ops::Deref;
 
 use super::Series;
diff --git a/polars/polars-lazy/src/physical_plan/expressions/apply.rs b/polars/polars-lazy/src/physical_plan/expressions/apply.rs
index cae2bcbed458..a5a8fd79d00c 100644
--- a/polars/polars-lazy/src/physical_plan/expressions/apply.rs
+++ b/polars/polars-lazy/src/physical_plan/expressions/apply.rs
@@ -443,6 +443,11 @@ impl ApplyExpr {
             } => (function, input),
             _ => return Ok(true),
         };
+        // ensure the input of the function is only a `col(..)`
+        // if it does any arithmetic the code below is flawed
+        if !matches!(input[0], Expr::Column(_)) {
+            return Ok(true);
+        }
 
         match function {
             FunctionExpr::Boolean(BooleanFunction::IsNull) => {
diff --git a/py-polars/tests/unit/io/test_lazy_parquet.py b/py-polars/tests/unit/io/test_lazy_parquet.py
index bc461c3adecc..1c7848ff3c6f 100644
--- a/py-polars/tests/unit/io/test_lazy_parquet.py
+++ b/py-polars/tests/unit/io/test_lazy_parquet.py
@@ -376,3 +376,16 @@ def test_glob_n_rows(io_files_path: Path) -> None:
         "fats_g": [0.5, 6.0],
         "sugars_g": [2, 2],
     }
+
+
+@pytest.mark.write_disk()
+def test_parquet_statistics_filter_9925(tmp_path: Path) -> None:
+    tmp_path.mkdir(exist_ok=True)
+    file_path = tmp_path / "codes.parquet"
+    df = pl.DataFrame({"code": [300964, 300972, 500_000, 26]})
+    df.write_parquet(file_path, statistics=True)
+
+    q = pl.scan_parquet(file_path).filter(
+        (pl.col("code").floordiv(100_000)).is_in([0, 3])
+    )
+    assert q.collect().to_dict(False) == {"code": [300964, 300972, 26]}