50 Big Tasty

50 Big Tasty — CS2 Stats

CH76561198179324102[U:1:219058374]Steam profile ↗✓ No bans

636Tracked matches39%Win rate2020Tracked since
2,133Hours in CS8Hrs last 2 wks
CSDB Rating4.3 DevelopingClutch Specialist
Premier CS Rating13,216Blue band · top ~37.9% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+281Premier CS Rating · 12,935 → 13,216

Rating over time

Premier CS Rating: 13,216 +1,251 6 Jul – 8 Oct · 17 days played
10,55314,079peak 14,0796 Jul8 Oct
14,301Peak Premier in tracked matches
26Days played since 2026-07-04

Premier CS Rating

  • 863 below peak (14,079)
  • +475 over 30 days · improving
  • +1,251 over 90 days
  • Next: Purple band at 15,000 — 1,784 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=5,923), 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 2 medianLevel 3 medianvs Level 3
Headshot rate42.9%41.3%41.8%above
Shot accuracy8.3%12.7%12.2%3.9% short
Kill/death ratio0.950.950.980.03 short
Match win rate30.7%42.6%43.3%12.6% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG50 Big TastyFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER13,216 · Blue bandcsdb.gg/stats

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Performance scores

Aim63
Positioning46
Utility54

0–100 skill scores via Leetify.

Recent form

COLD52–41–7Last 10052%Win rateLWTWLLLLWL

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · +8.1pp headshot accuracy · +47ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 583ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 588ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 565ms

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 (+4.8 against its own average).

Aim6.3
Utility5.4
Positioning4.6
Opening Duels0.7
Clutch10.0

Reliable 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.

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, 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

Reaction time. 551ms 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

Aim6.3
Positioning4.6
Utility5.4
Mechanics4.2
Opening Duels0.9
Win Impact1.4

Composite 4.3/10 (Developing), 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 time551ms−14ms
first ⅓ avg 565ms → last ⅓ avg 551ms
Headshot accuracy16.3%+5.4%
first ⅓ avg 10.9% → last ⅓ avg 16.3%

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

0.18Best match rating · 9–2 · debris, 12 Aug →
33%Best headshot accuracy · 13–11 · dust2, 28 Sept →
383msFastest reaction time · 8–8 · inferno, 3 Sept →
13–1Biggest win · cache, 21 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

poseidonBest map · 60% over 5ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
nukeB2412–1250%0.03
cacheA2011–955%0.01
infernoB157–847%-0.00
ancientD93–633%-0.01
mirageA95–456%0.00
anubisA74–357%0.01
dust2B63–350%-0.01
poseidonA53–260%0.01
vertigo—32–167%-0.01
eldorado—11–0100%0.01
debris—11–0100%0.18

Across the last 100 tracked matches.

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

Lifetime stats

98,185Lifetime kills
0.95K/D
5,019Matches
30.7%Match win rate
42.9%Headshot % · Top 50% of Level 2 players
8.3%Shot accuracy
6,097MVPs
1,421Hours (in match)
2,808Bombs planted
742Bombs defused

Most-used weapons

AK-4738,621
AWP7,658
SSG 082,626
P2501,439
SG 5531,336

Lifetime map wins

3,938dust2
3,410inferno
2,440nuke
1,018train
1,000vertigo
423office
301assault
197safehouse

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

Faceit stats

Combat

29Matches
48%Win rate
1.02Avg K/D
81.2ADR
41%Headshot %

Clutches & streaks

70%1v1 clutch win
18%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Vertigo560%0.7711.0
Dust24100%1.2212.5
Mirage450%1.2011.8
Nuke30%0.6910.7
Inferno333%0.979.3
Anubis1100%0.7919.0
Ancient10%0.609.0

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.

16.7%Headshot accuracy
35.1%Accuracy (enemy spotted)
39.8%Spray accuracy
68.8%Counter-strafing
10.8°Preaim
551msReaction time
31.4%T opening success
35.5%CT opening success
0.59Enemies flashed / flash
2.0%Flash assists
8.97HE damage / grenade
5.04Flashes / 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

    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 31.4175% — 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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–130.0124%8 Oct →
anubis13–90.0128%8 Oct →
nuke15–15-0.0014%5 Oct →
nuke13–6-0.0218%5 Oct →
cache8–13-0.0414%5 Oct →
ancient6–130.0127%5 Oct →
inferno7–13-0.0932%28 Sept →
ancient5–13-0.0514%28 Sept →
dust213–11-0.0333%28 Sept →
nuke10–13-0.0112%14 Sept →
ancient8–13-0.0325%14 Sept →
inferno13–6-0.0012%14 Sept →
nuke9–70.0710%3 Sept →
inferno8–80.0412%3 Sept →
poseidon9–70.0117%3 Sept →
mirage9–13-0.029%31 Aug →
ancient6–130.0014%31 Aug →
dust211–13-0.0112%31 Aug →
dust216–140.0513%24 Aug →
nuke8–130.0713%24 Aug →
nuke5–130.0210%24 Aug →
mirage13–40.0410%24 Aug →
anubis13–90.0214%21 Aug →
cache8–13-0.0119%21 Aug →
ancient13–7-0.0220%21 Aug →
dust210–13-0.0411%21 Aug →
inferno12–12-0.015%21 Aug →
cache13–10.027%21 Aug →
inferno8–130.0123%18 Aug →
mirage6–130.0618%18 Aug →
dust213–11-0.0020%18 Aug →
cache13–90.0415%17 Aug →
anubis6–13-0.0114%17 Aug →
mirage13–90.0121%17 Aug →
nuke13–80.0813%17 Aug →
inferno9–70.0612%14 Aug →
poseidon9–70.0019%14 Aug →
inferno9–13-0.0316%13 Aug →
nuke13–5-0.073%13 Aug →
ancient13–16-0.0210%13 Aug →
cache9–13-0.0519%13 Aug →
nuke8–130.017%13 Aug →
anubis13–80.024%12 Aug →
nuke11–13-0.0113%12 Aug →
eldorado9–60.018%12 Aug →
poseidon9–30.1522%12 Aug →
nuke9–50.1123%12 Aug →
debris9–20.1812%12 Aug →
inferno9–60.019%12 Aug →
vertigo8–8-0.035%12 Aug →
nuke16–13-0.0110%10 Aug →
anubis13–30.0110%10 Aug →
inferno8–13-0.0513%10 Aug →
mirage13–9-0.0412%10 Aug →
nuke13–70.023%10 Aug →
anubis11–130.0111%5 Aug →
inferno9–13-0.0311%5 Aug →
cache12–16-0.063%5 Aug →
mirage13–40.0316%5 Aug →
inferno13–100.0111%3 Aug →
ancient13–50.0925%3 Aug →
cache13–2-0.0226%3 Aug →
inferno13–40.1113%27 Jul →
nuke9–13-0.0326%27 Jul →
cache13–90.0412%27 Jul →
ancient13–4-0.018%26 Jul →
nuke13–50.097%26 Jul →
nuke16–130.0012%21 Jul →
anubis15–150.018%21 Jul →
nuke5–130.0617%21 Jul →
nuke13–10.088%21 Jul →
mirage13–90.0611%20 Jul →
nuke11–130.008%20 Jul →
inferno13–30.0514%20 Jul →
nuke16–14-0.0215%17 Jul →
inferno13–50.0711%17 Jul →
cache11–13-0.027%17 Jul →
cache13–40.0310%17 Jul →
nuke13–100.1516%17 Jul →
nuke15–150.0511%13 Jul →
mirage7–13-0.055%13 Jul →
cache8–13-0.039%13 Jul →
ancient2–13-0.0610%13 Jul →
cache13–60.0211%10 Jul →
cache13–30.1114%10 Jul →
cache13–4-0.0111%10 Jul →
cache13–70.047%10 Jul →
cache3–13-0.0616%10 Jul →
cache5–13-0.0810%10 Jul →
cache8–130.0511%10 Jul →
cache13–10.1114%6 Jul →
dust26–13-0.0212%6 Jul →
nuke13–160.0511%6 Jul →
mirage10–13-0.0611%6 Jul →
vertigo9–30.0715%5 Jul →
inferno2–9-0.190%5 Jul →
vertigo9–6-0.0514%5 Jul →
cache13–30.0515%5 Jul →
poseidon8–8-0.1214%4 Jul →
poseidon7–90.025%4 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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