diff --git a/test/test_syn_players.py b/test/test_syn_players.py
index ee39f3c..95f1c28 100644
--- a/test/test_syn_players.py
+++ b/test/test_syn_players.py
@@ -62,21 +62,27 @@ def get_data(N: int, sigma: float, max_scale: float, seed):
     return (a1 * a2).astype(np.float32)
 
 
+def parallel_avg_pool_cond(a, b):
+    close: np.ndarray = np.abs(a - b) < 1e-2
+
+    assert np.all(close), f"Keras-Proxy mismatch for approx avg pool: {np.sum(np.any(~close, axis=tuple(range(1,close.ndim))))} out of {a.shape[0]} samples are very different. Sample: {a[~close].ravel()[:5]} vs {b[~close].ravel()[:5]}"
+
+
 @pytest.mark.parametrize('layer',
                          [
                              "PConcatenate()",
-                             #  "PMaxPool1D(2, padding='same')",
-                             #  "PMaxPool2D((2,2), padding='same')",
-                             #  "PMaxPool1D(2, padding='valid')",
-                             #  "PMaxPool2D((2,2), padding='valid')",
+                             "PMaxPool1D(2, padding='same')",
+                             "PMaxPool2D((2,2), padding='same')",
+                             "PMaxPool1D(2, padding='valid')",
+                             "PMaxPool2D((2,2), padding='valid')",
                              "Signature(1,6,3)"
-                             #  "PAvgPool1D(2, padding='same')",
-                             #  "PAvgPool2D((1,2), padding='same')",
-                             #  "PAvgPool2D((2,2), padding='same')",
-                             #  "PAvgPool1D(2, padding='valid')",
-                             #  "PAvgPool2D((1,2), padding='valid')",
-                             #  "PAvgPool2D((2,2), padding='valid')",
-                             #  "PFlatten()",
+                             "PAvgPool1D(2, padding='same')",
+                             "PAvgPool2D((1,2), padding='same')",
+                             "PAvgPool2D((2,2), padding='same')",
+                             "PAvgPool1D(2, padding='valid')",
+                             "PAvgPool2D((1,2), padding='valid')",
+                             "PAvgPool2D((2,2), padding='valid')",
+                             "PFlatten()",
                          ]
                          )
 @pytest.mark.parametrize("N", [1000, 10])
@@ -96,7 +102,14 @@ def test_syn_players(layer, N: int, rnd_strategy: str, io_type: str, cover_facto
         q = gfixed(1, 6, 3)
         data = q(data).numpy()
 
-    run_model_test(model, cover_factor, data, io_type, backend, dir, aggressive)
+    cond = None
+    if 'AvgPool' in layer and io_type == 'io_parallel':
+        if cover_factor < 1.0:
+            # pass
+            pytest.skip('AvgPool\'s accum is not configurable for io_parallel, and cover_factor < 1.0 leads to overflow cannot be emulated')
+        cond = parallel_avg_pool_cond
+        # mark as xfail if io_parallel and cover_factor < 1.0
+    run_model_test(model, cover_factor, data, io_type, backend, dir, aggressive, cond=cond)
 
 
 if __name__ == '__main__':