Theodore Roosevelt — CS2 Stats

76561197965186925[U:1:4921197]

258Tracked matches41%Win rate2023Tracked since
CSDB Rating3.5 Learning
Premier CS Rating12,614Blue band · top ~41% of ranked players (population est.)
CSDB Leaderboard#36806 of 54939 tracked
Ladder ranks via Leetify

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CSDB.GGTheodore RooseveltPREMIER12,614 · Blue bandcsdb.gg/stats

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Performance scores

Aim40
Positioning46
Utility17

0–100 skill scores via Leetify.

Recent form

COLD43534Last 10043%Win rateWLTWWLLLLL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim4.0
Aggression5.0
Utility1.7
Positioning4.6
Opening Duels2.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 74% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 693ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim4.0
Positioning4.6
Utility1.7
Mechanics5.9
Opening Duels2.0
Win Impact1.9

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time694ms−28ms
first ⅓ avg 723ms → last ⅓ avg 694ms
Headshot accuracy15.4%+1.1%
first ⅓ avg 14.3% → last ⅓ avg 15.4%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.09Best rating — anubis 13–6
132Biggest win — inferno
5Longest win streak
128In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 78% over 9ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B21101148%-0.02
mirageD2051525%-0.01
infernoA1811761%-0.02
overpassD1441029%-0.03
nukeS97278%-0.01
ancientD71614%-0.01
trainD61517%-0.05
anubis21150%0.05
office110100%-0.00
jura110100%0.05
vertigo110100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.6%Headshot accuracy
34.2%Accuracy (enemy spotted)
34.0%Spray accuracy
76.7%Counter-strafing
13.2°Preaim
693msReaction time
34.2%T opening success
41.6%CT opening success
0.67Enemies flashed / flash
1.6%Flash assists
10.47HE damage / grenade
6.53Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.1579° — above the 12° mark we flag

    Aim Training
Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–6-0.0010%9 Oct
ancient7–13-0.0132%8 Oct
overpass15–150.0413%4 Oct
inferno13–30.0410%3 Oct
office13–4-0.008%1 Oct
mirage8–130.0223%25 Sept
inferno11–130.0522%25 Sept
overpass5–13-0.0912%24 Sept
overpass0–9-0.040%24 Sept
train12–16-0.0610%23 Sept
train4–13-0.0612%23 Sept
mirage3–130.0321%23 Sept
mirage15–150.0211%23 Sept
mirage3–13-0.0619%22 Sept
inferno10–130.0316%21 Sept
nuke16–130.0312%20 Sept
overpass13–11-0.0310%20 Sept
dust28–13-0.0525%19 Sept
train6–6-0.0523%16 Sept
train13–10-0.059%16 Sept
mirage8–130.0112%14 Sept
nuke13–10-0.0316%14 Sept
mirage15–15-0.0321%13 Sept
inferno13–100.0011%13 Sept
dust29–13-0.0415%12 Sept
nuke13–40.0113%5 Sept
dust24–13-0.0329%4 Sept
inferno16–14-0.0017%4 Sept
dust24–130.0216%3 Sept
dust213–80.0520%2 Sept
overpass15–150.0215%30 Aug
dust27–13-0.0518%30 Aug
ancient13–90.029%28 Aug
train11–13-0.0224%28 Aug
inferno5–0-0.120%27 Aug
nuke6–130.036%26 Aug
ancient13–160.019%22 Aug
inferno13–20.0115%21 Aug
overpass8–13-0.070%20 Aug
inferno11–13-0.037%14 Aug
ancient6–13-0.0418%13 Aug
overpass13–11-0.0011%13 Aug
dust29–13-0.0113%12 Aug
inferno2–13-0.0627%12 Aug
dust213–6-0.0611%12 Aug
ancient4–13-0.0120%11 Aug
overpass5–13-0.0519%7 Aug
nuke6–13-0.064%6 Aug
dust213–11-0.0114%6 Aug
dust213–90.0118%6 Aug
mirage4–13-0.0412%5 Aug
inferno13–11-0.0021%5 Aug
mirage13–11-0.0410%5 Aug
mirage4–13-0.0811%4 Aug
mirage6–13-0.066%4 Aug
nuke13–11-0.0119%3 Aug
dust213–10-0.0013%3 Aug
mirage11–130.0113%2 Aug
ancient5–13-0.024%2 Aug
inferno13–7-0.043%1 Aug
overpass13–6-0.039%1 Aug
jura13–110.0518%31 Jul
inferno13–10-0.0318%31 Jul
dust211–13-0.0315%31 Jul
nuke13–110.018%31 Jul
inferno16–14-0.0212%30 Jul
mirage13–2-0.0116%27 Jul
mirage13–6-0.0121%26 Jul
overpass13–70.0121%25 Jul
mirage8–13-0.0513%25 Jul
overpass7–13-0.0316%25 Jul
dust21–130.0019%25 Jul
mirage4–13-0.0422%25 Jul
train10–13-0.0323%24 Jul
dust28–13-0.0512%24 Jul
inferno13–90.0113%24 Jul
overpass11–13-0.0217%24 Jul
mirage6–13-0.0020%24 Jul
inferno6–13-0.066%23 Jul
dust213–5-0.0219%23 Jul
inferno8–4-0.0910%23 Jul
dust210–13-0.0214%23 Jul
nuke13–10-0.035%22 Jul
mirage13–40.0514%22 Jul
dust216–13-0.0410%18 Jul
dust213–9-0.0417%18 Jul
dust29–13-0.0213%16 Jul
nuke9–3-0.0613%16 Jul
overpass11–130.0116%16 Jul
ancient7–13-0.0310%16 Jul
anubis13–60.0920%1 Jul
anubis3–80.0213%28 Jun
mirage8–130.0411%4 Oct
mirage3–10.048%4 Oct
dust213–7-0.0210%4 Oct
mirage4–130.0221%3 Oct
inferno4–13-0.0414%3 Oct
inferno8–130.0514%3 Oct
overpass2–13-0.105%31 Mar
vertigo13–11-0.0312%22 Mar

Match data via Leetify.

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →