diff --git a/espncricinfo/player.py b/espncricinfo/player.py
index 99b8f3c..25540a4 100644
--- a/espncricinfo/player.py
+++ b/espncricinfo/player.py
@@ -3,14 +3,16 @@
 import dateparser
 from espncricinfo.exceptions import PlayerNotFoundError
 from espncricinfo.match import Match
+import csv
 
 class Player(object):
 
     def __init__(self, player_id):
+        self.player_id=player_id
         self.url = "https://www.espncricinfo.com/player/player-name-{0}".format(str(player_id))
         self.json_url = "http://core.espnuk.org/v2/sports/cricket/athletes/{0}".format(str(player_id))
-        self.parsed_html = self.get_html()
-        self.json = self.get_json()
+        self.parsed_html = self.get_html() 
+        self.json = self.get_json()       
         self.cricinfo_id = str(player_id)
         self.__unicode__ = self._full_name()
         self.name = self._name()
@@ -96,3 +98,101 @@ def bowling_for_match(self, match_id):
             if stats:
                 bowling_stats.append({ 'innings': innings, 'overs': next((x['value'] for x in stats['stats'] if x['name'] == 'overs')), 'maidens': next((x['value'] for x in stats['stats'] if x['name'] == 'maidens')), 'conceded': next((x['value'] for x in stats['stats'] if x['name'] == 'conceded')), 'wickets': next((x['value'] for x in stats['stats'] if x['name'] == 'wickets')), 'economy_rate': next((x['value'] for x in stats['stats'] if x['name'] == 'economyRate')), 'dots': next((x['value'] for x in stats['stats'] if x['name'] == 'dots'), None), 'fours_conceded': next((x['value'] for x in stats['stats'] if x['name'] == 'foursConceded'), None), 'sixes_conceded': next((x['value'] for x in stats['stats'] if x['name'] == 'sixesConceded'), None), 'wides': next((x['value'] for x in stats['stats'] if x['name'] == 'wides'), None), 'no_balls': next((x['value'] for x in stats['stats'] if x['name'] == 'noballs'), None)})
         return bowling_stats
+
+    def get_career_averages(self, file_name=None, match_format=11, data_type='allround') :
+
+        """Get Player career averages
+
+        Arguements:
+            file_name {string}: File name to save data
+            match_format {int}: Match format (default is 11) (1-Test), (2-Odi) (3-T20I), (11-All International), (20-Youth Tests), (21-Youth ODI)
+            data_type {string}: Data type (default is allround) (allround, batting, bowling, fielding)
+        
+        Return:
+            Data in csv file
+        """
+        self.match_format = match_format
+        self.data_type = data_type
+        self.file_name = file_name
+
+        if self.file_name is None:
+            self.file_name = f"{self.player_id}_{self.match_format}_{self.data_type}_career_averages.csv"
+
+        self.url=f"https://stats.espncricinfo.com/ci/engine/player/{self.player_id}.html?class={self.match_format};template=results;type={self.data_type}"
+        html_doc = requests.get(self.url)
+        soup = BeautifulSoup(html_doc.text, 'html.parser')
+        tables = soup.find_all("table")[2]
+        table_rows = tables.find_all("tr")
+        scores =[]
+        for tr in table_rows:
+            scores.append(tr.text)
+        with open(self.file_name, "w") as csv_file:
+            writer = csv.writer(csv_file, delimiter=',')
+            for row in scores:
+                    writer.writerow(row.splitlines()) 
+    
+    def get_career_summary(self, file_name=None, match_format=11, data_type='allround'):
+        
+        """Get Player data match by match sorted by date
+
+        Arguements:
+            file_name {string}: File name to save data
+            match_format {int}: Match format (default is 11) (1-Test), (2-Odi) (3-T20I), (11-All International), (20-Youth Tests), (21-Youth ODI)
+            data_type {string}: Data type (default is allround) (allround, batting, bowling, fielding)
+        
+        Return:
+            Data in csv file
+        """
+        self.match_format = match_format
+        self.data_type = data_type
+        self.file_name = file_name
+
+        if self.file_name is None:
+            self.file_name = f"{self.player_id}_{self.match_format}_{self.data_type}_career_summary.csv"
+
+        self.url=f"https://stats.espncricinfo.com/ci/engine/player/{self.player_id}.html?class={self.match_format};template=results;type={self.data_type}"
+        html_doc = requests.get(self.url)
+        soup = BeautifulSoup(html_doc.text, 'html.parser')
+        tables = soup.find_all("table")[3]
+        table_rows = tables.find_all("tr")
+        scores =[]
+        for tr in table_rows:
+            scores.append(tr.text)
+        with open(self.file_name, "w") as csv_file:
+            writer = csv.writer(csv_file, delimiter=',')
+            for row in scores:
+                    writer.writerow(row.splitlines())
+
+    def get_data(self, file_name=None, match_format=11, data_type='allround', view='match'):
+
+        """Get Player data match by match sorted by date
+
+        Arguements:
+            file_name {string}: File name to save data
+            match_format {int}: Match format (default is 11) (1-Test), (2-Odi) (3-T20I), (11-All International), (20-Youth Tests), (21-Youth ODI)
+            data_type {string}: Data type (default is allround) (allround, batting, bowling, fielding)
+            view {string}: View type (default is match) (match, innings, cumulative, reverse_cumulative, series, tour, ground)
+        
+        Return:
+            Data in csv file
+        """
+        self.match_format = match_format
+        self.data_type = data_type
+        self.view = view
+        self.file_name = file_name
+
+        if self.file_name is None:
+            self.file_name = f"{self.player_id}_{self.match_format}_{self.data_type}_{self.view}.csv"
+
+        self.url=f"https://stats.espncricinfo.com/ci/engine/player/{self.player_id}.html?class={self.match_format};template=results;type={self.data_type};view={self.view}"
+        html_doc = requests.get(self.url)
+        soup = BeautifulSoup(html_doc.text, 'html.parser')
+        tables = soup.find_all("table")[3]
+        table_rows = tables.find_all("tr")
+        scores =[]
+        for tr in table_rows:
+            scores.append(tr.text)
+        with open(self.file_name, "w") as csv_file:
+            writer = csv.writer(csv_file, delimiter=',')
+            for row in scores:
+                    writer.writerow(row.splitlines())
\ No newline at end of file