diff --git a/src/client/ghin/models/scores/score.ts b/src/client/ghin/models/scores/score.ts
index ecbacd4..18d3c1b 100644
--- a/src/client/ghin/models/scores/score.ts
+++ b/src/client/ghin/models/scores/score.ts
@@ -31,16 +31,17 @@ const schemaScoreTypeWithTransform: z.ZodType<RawScoreType, z.ZodTypeDef, ScoreT
   (value) => scoreTypesMap[value]
 )
 
-const scoreStatuses = ['VALIDATED', 'UNDER_REVIEW'] as const
+const scoreStatuses = ['VALIDATED', 'UNDER_REVIEW', 'TEMPORARY'] as const
 const schemaScoreStatus = z.enum(scoreStatuses)
 type ScoreStatus = z.infer<typeof schemaScoreStatus>
 
-const rawScoreStatuses = ['Validated', 'UnderReview'] as const
+const rawScoreStatuses = ['Validated', 'UnderReview', 'Temporary'] as const
 const schemaRawScoreStatus = z.enum(rawScoreStatuses)
 
 const scoreStatusesMap = {
   Validated: 'VALIDATED',
   UnderReview: 'UNDER_REVIEW',
+  Temporary: 'TEMPORARY',
 } as const
 
 const schemaScoreStatusWithTransform = schemaRawScoreStatus.transform(
diff --git a/src/client/ghin/models/scores/statistics.ts b/src/client/ghin/models/scores/statistics.ts
index 9aeb07b..d60abd0 100644
--- a/src/client/ghin/models/scores/statistics.ts
+++ b/src/client/ghin/models/scores/statistics.ts
@@ -1,23 +1,25 @@
 import { z } from 'zod'
-import { date, emptyStringToNull, float, number } from '../../../../models'
+import { date, emptyStringToNull, float, floatSafe, number } from '../../../../models'
 
+// GHIN sends NaN (or "NaN" strings) for fairway/miss percents on rounds where
+// the user didn't log that stat. Use floatSafe (nullable) for those fields.
 const schemaStatistics = z.object({
   birdies_or_better_percent: float,
   bogeys_percent: float,
   double_bogeys_percent: float,
-  fairway_hits_percent: float,
+  fairway_hits_percent: floatSafe,
   gir_percent: float,
   last_stats_update_date: date,
   last_stats_update_type: emptyStringToNull,
   missed_general_approach_shot_accuracy_percent: float,
   missed_left_approach_shot_accuracy_percent: float,
-  missed_left_percent: float,
+  missed_left_percent: floatSafe,
   missed_long_approach_shot_accuracy_percent: float,
-  missed_long_percent: float,
+  missed_long_percent: floatSafe,
   missed_right_approach_shot_accuracy_percent: float,
-  missed_right_percent: float,
+  missed_right_percent: floatSafe,
   missed_short_approach_shot_accuracy_percent: float,
-  missed_short_percent: float,
+  missed_short_percent: floatSafe,
   one_putt_or_better_percent: float,
   par3s_average: float,
   par4s_average: float,
diff --git a/src/models/validation.ts b/src/models/validation.ts
index 980ad1b..f72126d 100644
--- a/src/models/validation.ts
+++ b/src/models/validation.ts
@@ -14,6 +14,18 @@ const date = z
 const emptyString = z.string().trim()
 const emptyStringToNull = emptyString.nullable().transform((value) => value || null)
 const float = z.coerce.number()
+// NaN-tolerant float: coerces NaN / "NaN" / empty string to null. GHIN returns
+// these in statistics objects for rounds without tracked data.
+const floatSafe = z.preprocess((v) => {
+  if (v === null || v === undefined) return null
+  if (typeof v === 'string') {
+    if (v === '' || v.toLowerCase() === 'nan') return null
+    const n = Number(v)
+    return Number.isFinite(n) ? n : null
+  }
+  if (typeof v === 'number') return Number.isFinite(v) ? v : null
+  return v
+}, z.number().nullable())
 const gender = z.enum(['M', 'F'])
 
 const handicap = z
@@ -65,4 +77,4 @@ const shortDate = z
     return new Date(`${year}-${month}-${day}T00:00Z`)
   })
 
-export { boolean, date, emptyStringToNull, float, gender, handicap, monthDay, number, shortDate, string }
+export { boolean, date, emptyStringToNull, float, floatSafe, gender, handicap, monthDay, number, shortDate, string }