diff --git a/solution/README.md b/solution/README.md
index 08adbea..87f5326 100644
--- a/solution/README.md
+++ b/solution/README.md
@@ -178,7 +178,7 @@ I cache every mlscore in redis (btw, on startup of docker compose i upload each
 Here is how suggesting algotitm looks like:
 
 1. Filter all campaigns and left only that currently active and matches user targeting.
-2. Filter all campaigns with exceeded impressions, but to make more money i let exceed limit by 10% with chance 40%
+2. Filter all campaigns with exceeded impressions, but to make more money i let exceed limit by 10% with chance 25%
 3. Creating metrics for each campaign
    1. Profit: cost_per_impression (=0 if already viewed), cost_per_click (=0 if already clicked)
    2. Mlscores: from cache
diff --git a/solution/services/backend/apps/campaign/models.py b/solution/services/backend/apps/campaign/models.py
index c612e59..98c1d64 100644
--- a/solution/services/backend/apps/campaign/models.py
+++ b/solution/services/backend/apps/campaign/models.py
@@ -344,7 +344,7 @@ class Campaign(BaseModel):
         profit_values = []
         exceed_impressions_chance = (  # oh, can i just skip commenting this?
             *(0 for i in range(3)),
-            *(1 for i in range(2)),
+            *(1 for i in range(1)),
         )
 
         for campaign in campaigns: