Todd The Turtle Terrorist

Todd The Turtle Terrorist — CS2 Stats

AO76561198158585071[U:1:198319343]Steam profile ↗✓ No bans

1,223Tracked matches59%Win rate2021Tracked since
3,934Hours in CS14Hrs last 2 wks
CSDB Rating5.7 SolidClutch Specialist
Premier CS Rating11,272Blue band · top ~48.2% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGTodd The Turtle TerroristFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER11,272 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning58
Utility44

0–100 skill scores via Leetify.

Recent form

HOT50–48–2Last 10050%Win rateWWLWWWWWLW

Last 10 vs previous 10: +40pp win rate · +0.05 avg rating · +3.8pp headshot accuracy · +106ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 636ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 688ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 636ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.3 against its own average).

Aim5.9
Utility4.4
Positioning5.8
Opening Duels2.5
Clutch6.0

Limited utility dependence

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: positioning profile, 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

Strengths

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 69% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 618ms 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

Aim5.9
Positioning5.8
Utility4.4
Mechanics6.8
Opening Duels6.4
Win Impact7.9

Composite 5.7/10 (Solid), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time623ms+33ms
first ⅓ avg 590ms → last ⅓ avg 623ms
Headshot accuracy14.6%+1.5%
first ⅓ avg 13.2% → last ⅓ avg 14.6%

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.

Personal bests

0.10Best match rating · 13–1 · nuke, 4 Sept →
31%Best headshot accuracy · 3–6 · italy, 12 Sept →
391msFastest reaction time · 13–11 · office, 4 Nov →
13–0Biggest win · anubis, 11 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
8–6In matches decided by ≤2 rounds

Map breakdown

fachwerkBest map · 80% over 5infernoWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
nukeD186–1233%0.01
anubisB157–847%0.01
infernoD144–1029%0.00
dust2S107–370%0.02
cacheB63–350%0.02
italyB63–350%-0.03
mirageB63–350%-0.00
vertigoA53–260%-0.01
officeA53–260%-0.03
fachwerkS54–180%0.00
ancient—32–167%0.05
overpass—33–0100%0.02
train—21–150%-0.03
boulder—11–0100%0.05
shelter—10–10%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

137,687Lifetime kills
1.12K/D
8,499Matches
42.5%Match win rate
34.2%Headshot %
16.0%Shot accuracy
14,460MVPs
2,194Hours (in match)
3,944Bombs planted
1,480Bombs defused

Most-used weapons

AK-4723,284
AWP14,075
P907,783
MP94,725
UMP-453,597

Lifetime map wins

12,237dust2
6,740inferno
3,918bank
3,045nuke
1,841lake
1,540office
1,401train
1,391safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

12Matches
58%Win rate
0.90Avg K/D
83.0ADR
37%Headshot %

Clutches & streaks

50%1v1 clutch win
33%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2475%1.0914.5
Anubis367%0.8014.0
Mirage333%0.9616.7
Cache1100%1.0013.0
Inferno10%0.255.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

14.9%Headshot accuracy
35.8%Accuracy (enemy spotted)
38.2%Spray accuracy
80.4%Counter-strafing
11.9°Preaim
618msReaction time
69.4%T opening success
42.1%CT opening success
0.42Enemies flashed / flash
8.7%Flash assists
13.38HE damage / grenade
3.26Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.9141% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4207 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–40.0213%12 Nov →
dust213–110.0422%12 Nov →
dust29–130.0015%11 Nov →
dust213–60.0520%11 Nov →
anubis13–100.049%11 Nov →
anubis13–00.0625%11 Nov →
nuke13–3-0.0421%11 Nov →
boulder13–10.0511%11 Nov →
cache3–13-0.0515%9 Nov →
dust213–11-0.0613%7 Nov →
train11–13-0.079%7 Nov →
vertigo8–13-0.1010%5 Nov →
italy13–7-0.0112%5 Nov →
anubis8–130.0214%5 Nov →
mirage7–13-0.0316%4 Nov →
vertigo6–13-0.0216%4 Nov →
office13–11-0.1117%4 Nov →
italy13–40.054%4 Nov →
inferno4–13-0.0719%4 Nov →
italy13–7-0.098%4 Nov →
office12–120.0421%29 Oct →
inferno10–130.0115%23 Oct →
dust213–110.0921%23 Oct →
office11–13-0.080%23 Oct →
mirage13–10-0.0122%23 Oct →
cache13–100.0812%22 Oct →
cache13–80.0220%22 Oct →
cache5–13-0.0119%14 Oct →
dust213–100.0117%14 Oct →
shelter6–130.0616%25 Sept →
vertigo13–80.0312%23 Sept →
vertigo13–30.0310%23 Sept →
fachwerk13–80.0510%17 Sept →
mirage8–13-0.069%17 Sept →
mirage13–3-0.0126%16 Sept →
anubis13–40.0919%16 Sept →
anubis8–13-0.038%16 Sept →
anubis7–130.029%16 Sept →
italy10–13-0.0615%12 Sept →
italy3–6-0.0231%12 Sept →
italy2–13-0.0611%12 Sept →
cache13–100.0713%12 Sept →
inferno3–13-0.1112%12 Sept →
cache7–13-0.0122%12 Sept →
mirage9–130.0212%11 Sept →
inferno11–130.0312%11 Sept →
nuke9–13-0.035%11 Sept →
nuke13–40.0611%11 Sept →
anubis4–130.0213%11 Sept →
train13–100.0122%11 Sept →
fachwerk13–30.0213%11 Sept →
nuke4–13-0.035%11 Sept →
nuke3–50.1016%11 Sept →
nuke11–13-0.015%11 Sept →
inferno13–90.0822%9 Sept →
nuke4–13-0.0517%9 Sept →
nuke13–60.0311%9 Sept →
inferno13–70.029%9 Sept →
nuke1–13-0.057%9 Sept →
inferno9–130.0811%9 Sept →
anubis13–30.059%8 Sept →
nuke6–130.0610%8 Sept →
anubis10–13-0.0210%8 Sept →
inferno13–11-0.0113%8 Sept →
ancient13–60.038%7 Sept →
dust212–120.0016%7 Sept →
anubis10–13-0.0411%7 Sept →
overpass13–20.0315%7 Sept →
inferno8–130.029%7 Sept →
nuke7–13-0.019%7 Sept →
ancient10–130.0711%7 Sept →
inferno5–130.0113%6 Sept →
overpass13–2-0.029%6 Sept →
nuke13–20.0922%6 Sept →
anubis13–8-0.0513%6 Sept →
anubis7–13-0.0216%6 Sept →
anubis5–13-0.0615%6 Sept →
fachwerk13–20.038%6 Sept →
dust213–40.029%5 Sept →
nuke5–13-0.0625%5 Sept →
dust213–6-0.009%5 Sept →
mirage13–10.0614%5 Sept →
inferno10–13-0.0111%5 Sept →
fachwerk10–13-0.0521%5 Sept →
ancient13–40.0513%5 Sept →
overpass13–90.047%5 Sept →
nuke6–13-0.0912%5 Sept →
inferno1–13-0.0411%4 Sept →
inferno8–13-0.058%4 Sept →
nuke13–10.1011%4 Sept →
anubis13–90.079%4 Sept →
nuke6–130.0810%3 Sept →
vertigo13–110.0115%3 Sept →
nuke9–13-0.0722%3 Sept →
inferno13–100.0913%3 Sept →
dust211–130.0413%2 Sept →
anubis13–110.029%2 Sept →
fachwerk13–10-0.0416%2 Sept →
office13–10-0.0113%2 Sept →
office13–11-0.0223%2 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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