# Boost score for prefix matches **URL:** \ **Category:** Elasticsearch\ **Created:** [July 12, 2022, 7:43am UTC](https://discuss.elastic.co/t/boost-score-for-prefix-matches/309384 "2022-07-12T07:43:18Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![bogdanjsx](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/bogdanjsx/32/108181_2.png) [@bogdanjsx](https://discuss.elastic.co/u/bogdanjsx)\ **Post date:** [July 12, 2022, 7:43am UTC](https://discuss.elastic.co/t/boost-score-for-prefix-matches/309384/1 "2022-07-12T07:43:18Z")
Hello! I'm trying to implement something similar to a store search for products and I'm having a hard time boosting result score to order them in a specific manner. Let's say I have a `name` field in my documents and I want to search on that field only. Assume I have the query string `crac` and the following 4 documents: ```auto {name: "Crackers, 250g"}, // partial non-fuzzy match on first word {name: "Some crackers, 250g", // partial non-fuzzy match on middle word {name: "Crab, 100g"} // fuzzy match on first word {name: "Some crab, 100g"} // fuzzy match on middle word ``` Is there a way of ordering my results exactly in the order described above? That is, prioritize non-fuzzy matches, and then prioritize first word matches? I'm currently using a standard analyzer with no success. I've read about edge\_ngram tokenizer, but that would not solve the first word dilemma. Migrating to a keyword tokenizer would allow first word matches but break subsequent ones matches. Does anyone have an idea on how to achieve this? ---
**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\ **Post date:** [August 9, 2022, 7:43am UTC](https://discuss.elastic.co/t/boost-score-for-prefix-matches/309384/2 "2022-08-09T07:43:45Z")
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