diff --git a/NEWS.md b/NEWS.md
index 6019e4bec..2cc79ceef 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -2,9 +2,12 @@
 
 * Moved forward with deprecation of tidiers for objects from the sp package. See resources linked in [tidymodels/broom#1142](https://github.com/tidymodels/broom/issues/1142) for more information on migration from retiring spatial packages.
 
+* Corrected confidence interval values for precision components in `tidy.betareg()` output (#1169).
+
+* Fixed bug in tidier for `car::linearHypothesis()` output with long formulas (#1171).
+
 * Added support for columns `adj.r.squared` and `npar` in `glance()` method for objects outputted from `mgcv::gam()` (#1172).
 
-* Corrected confidence interval values for precision components in `tidy.betareg()` output.
 
 # broom 1.0.5
 
diff --git a/R/stats-anova-tidiers.R b/R/stats-anova-tidiers.R
index 3fcd59667..5a9d53a19 100644
--- a/R/stats-anova-tidiers.R
+++ b/R/stats-anova-tidiers.R
@@ -113,7 +113,7 @@ tidy.anova <- function(x, ...) {
       # Drop unrestricted model (not interesting in linear hypothesis tests)
       # Use formula to subset if available (e.g. with car::linearHypothesis)
       if (length(mod_lines) != 0) {
-        idx <- sub(".*: ", "", strsplit(mod_lines, "\n")[[1]])
+        idx <- sub("Model \\d*: ", "", strsplit(mod_lines, "\\nModel \\d*: ")[[1]])
         idx <- idx != "restricted model"
         ret <- ret[idx, , drop = FALSE]
       }
diff --git a/tests/testthat/test-car.R b/tests/testthat/test-car.R
index e3561494a..e335fadc5 100644
--- a/tests/testthat/test-car.R
+++ b/tests/testthat/test-car.R
@@ -84,3 +84,16 @@ test_that("tidy car::Anova coxph", {
   check_dims(td2, expected_rows = 2, expected_cols = 5)
   check_dims(td3, expected_rows = 2, expected_cols = 4)
 })
+
+test_that("tidy car::linearHypothesis with long formulas (#1171)", {
+  reg_long <- 
+    lm(
+      Fertility ~ Agriculture + Examination + Education + Catholic + Infant.Mortality, 
+      data = swiss
+    )
+  
+  test_long <- car::linearHypothesis(reg_long, hypothesis.matrix = c(0,1, 0, 0, 0, -1))
+  
+  td <- broom::tidy(test_long)
+  check_dims(td, expected_rows = 1, expected_cols = 10)
+})