CrabbyTuna

CrabbyTuna — CS2 Stats

US76561198066867118[U:1:106601390]Steam profile ↗✓ No bans

2,269Tracked matches41%Win rate2020Tracked since
4,979Hours in CS13Hrs last 2 wks
CSDB Rating5.9 SolidClutch Specialist
Premier CS Rating23,751Pink band · top ~4.4% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGCrabbyTunaFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER23,751 · Pink bandcsdb.gg/stats

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Performance scores

Aim82
Positioning49
Utility43

0–100 skill scores via Leetify.

Recent form

COLD45–50–5Last 10045%Win rateWLLLLLWLLW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −3.8pp headshot accuracy · +14ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 558ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 532ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 525ms

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).

Aim8.2
Utility4.3
Positioning4.9
Opening Duels1.3
Clutch5.2

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

ropz

Plays most like ropz 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 50% on T to 33% on CT — first contacts on the defending side are being lost.

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

Aim8.2
Positioning4.9
Utility4.3
Mechanics8.0
Opening Duels2.9
Win Impact2.1

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time538ms−24ms
first ⅓ avg 563ms → last ⅓ avg 538ms
Headshot accuracy24.3%−8.1%
first ⅓ avg 32.4% → last ⅓ avg 24.3%

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

0.13Best match rating · 13–1 · anubis, 31 Oct →
100%Best headshot accuracy · 4–13 · mirage, 26 Sept →
336msFastest reaction time · 3–13 · cache, 8 Nov →
13–0Biggest win · dust2, 31 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
8–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 62% over 13ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B2312–1152%0.01
cacheC176–1135%-0.01
mirageC176–1135%-0.00
anubisA138–562%0.02
infernoB126–650%0.03
nukeB105–550%-0.02
ancientD82–625%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

169,327Lifetime kills
1.20K/D
6,382Matches
43.4%Match win rate
46.0%Headshot %
15.2%Shot accuracy
17,416MVPs
2,684Hours (in match)
4,561Bombs planted
1,508Bombs defused

Most-used weapons

AK-4763,249
AWP36,251
P906,981
P2504,440
Tec-92,199

Lifetime map wins

29,687dust2
6,090inferno
3,648nuke
1,643vertigo
1,458train
487cbble
45lake
32office

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

Faceit stats

Combat

172Matches
48%Win rate
1.23Avg K/D
102.4ADR
55%Headshot %

Clutches & streaks

46%1v1 clutch win
23%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3333%1.1618.9
Ancient3253%1.2019.7
Anubis2544%1.1117.0
Inferno1759%1.2218.8
Dust21669%1.4323.4
Vertigo1250%1.1919.9
Nuke333%1.1720.0
Overpass10%1.4619.0

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.

24.9%Headshot accuracy
34.2%Accuracy (enemy spotted)
32.5%Spray accuracy
85.9%Counter-strafing
9.4°Preaim
537msReaction time
50.4%T opening success
32.7%CT opening success
0.62Enemies flashed / flash
7.3%Flash assists
6.17HE damage / grenade
2.17Flashes / 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 2.1681 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 32.655% — below the 40% mark we flag

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–100.0418%15 Nov →
ancient5–13-0.0627%15 Nov →
cache10–130.0332%15 Nov →
cache7–13-0.0329%15 Nov →
mirage3–13-0.0719%15 Nov →
inferno8–130.0128%15 Nov →
dust213–100.0423%14 Nov →
anubis4–13-0.0218%14 Nov →
nuke1–13-0.119%14 Nov →
cache13–3-0.0320%14 Nov →
cache13–70.0530%14 Nov →
cache4–130.0140%14 Nov →
nuke13–70.0833%14 Nov →
nuke9–13-0.0320%14 Nov →
dust20–5-0.0414%14 Nov →
dust213–90.0823%8 Nov →
cache13–5-0.0117%8 Nov →
mirage4–13-0.0713%8 Nov →
cache3–13-0.0830%8 Nov →
mirage10–130.0539%7 Nov →
dust212–12-0.0219%7 Nov →
cache10–130.0728%7 Nov →
inferno10–130.0430%1 Nov →
ancient10–13-0.0225%1 Nov →
dust26–13-0.0021%1 Nov →
inferno13–50.0015%1 Nov →
dust213–110.0625%1 Nov →
anubis13–10.1330%31 Oct →
dust213–00.1023%31 Oct →
inferno13–00.0937%31 Oct →
nuke13–60.0115%31 Oct →
dust213–40.0423%22 Oct →
nuke7–10.0829%22 Oct →
nuke10–13-0.0324%22 Oct →
mirage13–60.0422%22 Oct →
ancient13–80.0521%22 Oct →
mirage7–130.0519%22 Oct →
cache12–12-0.0624%22 Oct →
cache10–30.0339%22 Oct →
mirage6–13-0.0633%22 Oct →
cache7–13-0.0623%22 Oct →
dust23–13-0.0544%22 Oct →
inferno13–80.1131%22 Oct →
anubis13–60.0640%22 Oct →
mirage10–13-0.0314%18 Oct →
anubis13–90.0239%18 Oct →
mirage13–10-0.0623%18 Oct →
dust27–13-0.0327%18 Oct →
mirage13–70.0329%18 Oct →
anubis13–100.0234%17 Oct →
dust211–13-0.0228%17 Oct →
dust213–9-0.0736%17 Oct →
inferno11–13-0.0123%17 Oct →
anubis13–160.0023%16 Oct →
anubis13–100.0219%11 Oct →
inferno11–130.0123%11 Oct →
dust27–130.0317%11 Oct →
anubis13–8-0.0132%11 Oct →
dust213–11-0.0325%11 Oct →
mirage5–13-0.0316%11 Oct →
inferno13–30.0527%10 Oct →
dust213–90.0733%10 Oct →
anubis13–40.0740%10 Oct →
mirage13–80.0318%10 Oct →
ancient13–110.0538%10 Oct →
mirage13–100.0632%10 Oct →
mirage11–130.0520%10 Oct →
anubis8–13-0.0129%9 Oct →
dust24–13-0.0321%9 Oct →
cache15–150.0164%9 Oct →
ancient15–150.0131%9 Oct →
nuke3–13-0.0531%4 Oct →
cache16–14-0.0225%4 Oct →
ancient1–13-0.0426%4 Oct →
inferno16–140.0231%4 Oct →
ancient7–13-0.0738%4 Oct →
dust213–20.0636%4 Oct →
dust24–13-0.0522%4 Oct →
dust210–13-0.0421%4 Oct →
dust28–130.0034%4 Oct →
cache10–13-0.0235%4 Oct →
anubis0–2-0.0175%4 Oct →
inferno13–40.1230%4 Oct →
inferno11–130.0123%4 Oct →
nuke2–13-0.0017%4 Oct →
nuke3–0-0.070%4 Oct →
cache13–11-0.0234%3 Oct →
anubis13–110.0223%3 Oct →
ancient14–160.0126%3 Oct →
inferno10–13-0.0318%3 Oct →
anubis2–13-0.0450%3 Oct →
dust213–60.0437%3 Oct →
mirage2–130.0233%3 Oct →
nuke13–2-0.0419%26 Sept →
cache8–130.0328%26 Sept →
mirage7–130.0223%26 Sept →
mirage13–110.0122%26 Sept →
dust213–50.0237%26 Sept →
mirage4–13-0.10100%26 Sept →
cache15–15-0.0130%13 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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