Dear Ava
of Ilsa Madden-Mills (Goodreads Author)
Description
WSJ bestselling author Ilsa Madden-Mills delivers a gripping enemies-to-lovers, secret admirer, high school romance.The rich and popular Sharks rule at prestigious, ivy-covered Camden Prep. Once upon a time, I wanted to be part of their world--until they destroyed me.The last thing I expected was an anonymous love letter from one of them.Please. I hate every one of those rich jerks for what they did to me. The question is, which Shark is my secret admirer?Knox, the scarred quarterback.Dane, his twin brother.Or Chance, the ex who dumped me. . .Dear Ava,Your eyes are the color of the Caribbean Sea.Wait. That's stupid.What I really mean is, you look at me and I feel something REAL.It's been ten months since you were here, but I can't forget you.I've missed seeing you walk down the hall.I've missed you cheering at my football games.I've missed the smell of your hair.And then everything fell apart the night of the kegger.Don't hate me because I'm a Shark.I just want to make you mine.Still.Mature Content. Recommended for 18+.A short excerpt of Dear Ava appeared in Team Player 2. (No longer available) This all-new, full-length version is 376 pages and 100,000 words.
Gender
Main Characters
Book Details
- Format E-book
- Pages 376 pages
- Publisher Not informed
- Publication Date February 1st 2020
- First Publication Not informed
- Language English
- ISBN B084FJW8DQ
- Edition 1st edition
- Category Romance
- Scenario []
Rate this work
đ Log in to evaluate this book.
Share your opinion with other readers. Your feedback is very important!
AI-Powered Recommendations
Based on your reading of "Dear Ava", our dual AI algorithms suggest these titles. ⥠FAISS Baseline đ§ PyTorch Enhanced
Top Picks For You
đŻ Smart Selection
The Dragon's Mark
by Alex Archer (pseudonym), Joseph Nassise (Goodreads Author)
How do we choose these recommendations?
Similar Style Recommendations
Books with similar themes, authors, and writing styles to what you're reading now.
Smart AI Matches
Our advanced AI finds books you might love based on deeper patterns and reader preferences.
