diff --git a/freqtrade/optimize/hyperopt_tools.py b/freqtrade/optimize/hyperopt_tools.py
index 393c055c4..f8e9ad617 100755
--- a/freqtrade/optimize/hyperopt_tools.py
+++ b/freqtrade/optimize/hyperopt_tools.py
@@ -17,6 +17,7 @@ from freqtrade.enums import HyperoptState
 from freqtrade.exceptions import OperationalException
 from freqtrade.misc import deep_merge_dicts, round_coin_value, round_dict, safe_value_fallback2
 from freqtrade.optimize.hyperopt_epoch_filters import hyperopt_filter_epochs
+from freqtrade.optimize.optimize_reports import generate_wins_draws_losses
 
 
 logger = logging.getLogger(__name__)
@@ -325,8 +326,10 @@ class HyperoptTools():
 
         # New mode, using backtest result for metrics
         trials['results_metrics.winsdrawslosses'] = trials.apply(
-            lambda x: f"{x['results_metrics.wins']} {x['results_metrics.draws']:>4} "
-                      f"{x['results_metrics.losses']:>4}", axis=1)
+            lambda x: generate_wins_draws_losses(
+                            x['results_metrics.wins'], x['results_metrics.draws'],
+                            x['results_metrics.losses']
+                      ), axis=1)
 
         trials = trials[['Best', 'current_epoch', 'results_metrics.total_trades',
                          'results_metrics.winsdrawslosses',
@@ -337,7 +340,7 @@ class HyperoptTools():
                          'loss', 'is_initial_point', 'is_random', 'is_best']]
 
         trials.columns = [
-            'Best', 'Epoch', 'Trades', ' Win Draw Loss', 'Avg profit',
+            'Best', 'Epoch', 'Trades', ' Win  Draw  Loss  Win%', 'Avg profit',
             'Total profit', 'Profit', 'Avg duration', 'max_drawdown', 'max_drawdown_account',
             'max_drawdown_abs', 'Objective', 'is_initial_point', 'is_random', 'is_best'
             ]
diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py
index c406f866b..8ad37e7d8 100644
--- a/freqtrade/optimize/optimize_reports.py
+++ b/freqtrade/optimize/optimize_reports.py
@@ -86,7 +86,7 @@ def _get_line_header(first_column: str, stake_currency: str,
             'Win  Draw  Loss  Win%']
 
 
-def _generate_wins_draws_losses(wins, draws, losses):
+def generate_wins_draws_losses(wins, draws, losses):
     if wins > 0 and losses == 0:
         wl_ratio = '100'
     elif wins == 0:
@@ -600,7 +600,7 @@ def text_table_bt_results(pair_results: List[Dict[str, Any]], stake_currency: st
     output = [[
         t['key'], t['trades'], t['profit_mean_pct'], t['profit_sum_pct'], t['profit_total_abs'],
         t['profit_total_pct'], t['duration_avg'],
-        _generate_wins_draws_losses(t['wins'], t['draws'], t['losses'])
+        generate_wins_draws_losses(t['wins'], t['draws'], t['losses'])
     ] for t in pair_results]
     # Ignore type as floatfmt does allow tuples but mypy does not know that
     return tabulate(output, headers=headers,
@@ -626,7 +626,7 @@ def text_table_exit_reason(exit_reason_stats: List[Dict[str, Any]], stake_curren
 
     output = [[
         t.get('exit_reason', t.get('sell_reason')), t['trades'],
-        _generate_wins_draws_losses(t['wins'], t['draws'], t['losses']),
+        generate_wins_draws_losses(t['wins'], t['draws'], t['losses']),
         t['profit_mean_pct'], t['profit_sum_pct'],
         round_coin_value(t['profit_total_abs'], stake_currency, False),
         t['profit_total_pct'],
@@ -656,7 +656,7 @@ def text_table_tags(tag_type: str, tag_results: List[Dict[str, Any]], stake_curr
             t['profit_total_abs'],
             t['profit_total_pct'],
             t['duration_avg'],
-            _generate_wins_draws_losses(
+            generate_wins_draws_losses(
                 t['wins'],
                 t['draws'],
                 t['losses'])] for t in tag_results]
@@ -715,7 +715,7 @@ def text_table_strategy(strategy_results, stake_currency: str) -> str:
     output = [[
         t['key'], t['trades'], t['profit_mean_pct'], t['profit_sum_pct'], t['profit_total_abs'],
         t['profit_total_pct'], t['duration_avg'],
-        _generate_wins_draws_losses(t['wins'], t['draws'], t['losses']), drawdown]
+        generate_wins_draws_losses(t['wins'], t['draws'], t['losses']), drawdown]
         for t, drawdown in zip(strategy_results, drawdown)]
     # Ignore type as floatfmt does allow tuples but mypy does not know that
     return tabulate(output, headers=headers,