Terrabot — CS2 Stats

76561198091283944[U:1:131018216]

408Tracked matches52%Win rate2020Tracked since
1,675Hours in CS4Hrs last 2 wks
CSDB Rating5.1 DevelopingClutch Specialist
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate52.1%42.5%44.2%above
Shot accuracy17.7%10.9%11.2%above
Kill/death ratio1.460.991.04above
Match win rate72.0%44.2%45.3%above

Across every metric we can compare, this profile already matches the typical Level 5 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGTerrabotFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim56
Positioning58
Utility47

0–100 skill scores via Leetify.

Recent form

HOT48466Last 10048%Win rateWWLWWWLWWW

Last 10 vs previous 10: +50pp win rate · +0.01 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim5.6
Aggression7.4
Utility4.7
Positioning5.8
Opening Duels2.6
Clutch10.0

Strong CT-side openerLimited utility dependenceReliable in 1v1s

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

ropz

Plays most like ropz 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 58% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 584ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.6
Positioning5.8
Utility4.7
Mechanics4.2
Opening Duels3.5
Win Impact5.6

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time591ms−3ms
first ⅓ avg 594ms → last ⅓ avg 591ms
Headshot accuracy17.6%+1.5%
first ⅓ avg 16.1% → last ⅓ avg 17.6%

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.

Highlights

0.26Best rating — nuke 9–1
132Biggest win — dust2
8Longest win streak
W2Current streak
58In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 70% over 10infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B22111150%0.01
nukeA1810856%0.03
mirageB157847%0.01
cacheS107370%0.01
infernoD93633%0.01
anubisD62433%0.03
ancientC52340%0.01
vertigoA53260%-0.02
overpass41325%0.02
train41325%0.04
grail1010%0.05
mills110100%0.12

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

81,195Lifetime kills
1.46K/D · Top 5% of Level 4 players
8,102Matches
72.0%Match win rate · Top 1% of Level 4 players
52.1%Headshot % · Top 25% of Level 4 players
17.7%Shot accuracy · Top 10% of Level 4 players
6,049MVPs
856Hours (in match)
1,466Bombs planted
541Bombs defused

Most-used weapons

AK-4722,595
AWP9,575
P901,845
Tec-91,695
P2501,631

Lifetime map wins

21,389dust2
1,233inferno
832nuke
448cbble
330train
321vertigo
181office
179lake

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

Faceit stats

Combat

26Matches
46%Win rate
1.18Avg K/D
57.4ADR
43%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage580%1.3515.2
Overpass333%1.6318.0
Anubis1100%1.9223.0
Dust210%0.6918.0
Inferno1100%1.7816.0
Nuke10%0.7311.0

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.

17.3%Headshot accuracy
32.1%Accuracy (enemy spotted)
38.4%Spray accuracy
69.1%Counter-strafing
10.4°Preaim
584msReaction time
23.0%T opening success
57.7%CT opening success
0.55Enemies flashed / flash
6.1%Flash assists
8.02HE damage / grenade
3.74Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.7353 — below the 4 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 23.0056% — below the 40% mark we flag

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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–100.0516%29 Aug
cache13–50.029%29 Aug
dust211–130.049%28 Aug
cache13–7-0.0216%24 Aug
cache13–80.0715%31 Jul
nuke13–90.0713%24 Jul
anubis13–160.0416%19 Jul
dust213–10-0.0322%18 Jul
dust213–80.0019%18 Jul
cache13–8-0.0414%16 Jul
dust26–13-0.0412%16 Jul
mirage13–50.0810%13 Jul
dust213–8-0.0418%13 Jul
anubis6–130.0120%26 Jun
dust22–130.0412%24 Jun
inferno7–130.0316%24 Jun
mirage4–13-0.0318%24 Jun
nuke13–100.0222%23 Jun
dust211–130.0525%23 Jun
ancient7–13-0.0114%20 Jun
inferno9–130.0319%20 Jun
dust213–40.0723%16 Jun
nuke7–130.0217%6 Jun
mirage13–6-0.0113%6 Jun
cache13–10-0.0520%3 May
cache13–30.1430%3 May
anubis15–150.0315%2 May
dust210–130.0426%2 May
cache8–130.0613%2 May
cache9–13-0.0124%2 May
cache8–13-0.0417%29 Apr
cache13–11-0.0426%29 Apr
ancient13–60.0519%26 Apr
overpass11–130.0424%18 Apr
dust29–130.0026%17 Apr
nuke13–9-0.0013%17 Apr
nuke6–130.0320%9 Apr
mirage13–100.0326%22 Mar
dust213–20.0515%14 Nov
nuke13–30.1012%14 Nov
mirage13–10-0.029%14 Nov
inferno13–80.0512%12 Nov
inferno16–12-0.0217%12 Nov
mirage8–130.0117%10 Nov
overpass2–130.0817%10 Nov
ancient11–13-0.0117%9 Nov
inferno9–13-0.0220%8 Nov
nuke10–13-0.056%8 Nov
dust213–90.0021%30 Oct
mirage11–130.0822%30 Oct
dust22–13-0.0323%18 Sept
ancient11–13-0.036%19 May
grail12–120.0515%10 May
nuke8–130.0818%7 May
inferno8–80.0511%6 May
nuke9–10.2614%6 May
overpass8–8-0.0315%6 May
inferno5–9-0.0217%6 May
train4–13-0.0321%6 May
overpass13–6-0.028%5 May
vertigo11–2-0.0119%5 May
anubis8–130.0022%5 May
mirage6–130.0319%4 May
ancient16–120.0420%3 May
mirage13–8-0.0215%3 May
nuke13–4-0.0229%2 May
nuke9–13-0.0015%26 Apr
dust27–13-0.0117%23 Apr
vertigo4–130.0017%2 Jan
nuke13–7-0.0113%2 Jan
nuke13–100.0418%30 Dec
dust216–12-0.0315%30 Dec
vertigo13–9-0.0020%30 Dec
nuke13–20.0017%30 Dec
mirage10–13-0.0412%30 Dec
dust24–13-0.0211%20 Dec
train10–13-0.0225%20 Dec
nuke10–130.0611%29 Nov
mirage12–12-0.0221%26 Nov
nuke5–13-0.0123%26 Nov
train12–120.0815%24 Nov
nuke11–13-0.0211%24 Nov
dust215–19-0.0230%23 Nov
mirage13–80.0223%23 Nov
dust213–110.0020%22 Nov
train13–50.1222%16 Nov
inferno13–11-0.0211%6 Oct
dust213–90.0520%3 Oct
dust210–50.1022%26 Jul
mills13–70.1220%13 Jul
anubis13–20.0418%13 Jul
mirage9–13-0.0114%8 Jul
inferno6–13-0.0110%8 Jul
dust27–130.0414%8 Jul
mirage10–130.0413%7 Jul
dust213–110.0111%6 Jul
vertigo13–11-0.046%6 Jul
nuke13–8-0.073%29 Jun
vertigo11–13-0.0512%28 Jun
anubis16–130.0420%28 Jun

Match data via Leetify.

Recent teammates

Milestones

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