Elasticsearch fuzzy search scores the same for exact match and non-exact match

gistfile1.txt

curl -XPOST 'http://localhost:9200/fuzzytest/' -d '
{
  settings: {
    index: {
        analysis: {
            analyzer: {
                default: {
                    type: "custom",
                    tokenizer: "uax_url_email",
                    filter: [ "lowercase" ]
                }
            }
        }
    }
  }
}'

curl -XPOST 'http://localhost:9200/fuzzytest/product' -d '
{
  text: "testphone5"
}'

curl -XPOST 'http://localhost:9200/fuzzytest/product' -d '
{
  text: "testphone4s"
}'

curl -XPOST 'http://localhost:9200/fuzzytest/product/_search?search_type=dfs_query_then_fetch&pretty=true' -d '
{
  "query": {
    "fuzzy": {
      "text": {
          min_similarity: 0.4,
          value: "testphone5",
          prefix_length: 0
      }
    }
  }
}'

result of the search:

{
  "took" : 8,
  "timed_out" : false,
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "failed" : 0
  },
  "hits" : {
    "total" : 2,
    "max_score" : 1.0,
    "hits" : [ {
      "_index" : "fuzzytest",
      "_type" : "product",
      "_id" : "8eOTroQXTvWvcgZs1ETVCg",
      "_score" : 1.0, "_source" :
{
  text: "testphone5"
}
    }, {
      "_index" : "fuzzytest",
      "_type" : "product",
      "_id" : "1h5b3qQsSsqCeiIF2WzRGw",
      "_score" : 1.0, "_source" :
{
  text: "testphone4s"
}
    } ]
  }
}