Ty

Ty — CS2 Stats

76561198797878398[U:1:837612670]Steam profile ↗VAC banned

1,555Tracked matches69%Win rate2022Tracked since
2,021Hours in CS57Hrs last 2 wks
CSDB Rating7.9 StrongSupport
Premier CS Rating23,613Top 25% of 215,386 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)
CSDB Leaderboard#37246 of 261552 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 23,613 +3,085 22 Oct – 13 Nov · 20 days played
18,52823,829peak 23,82922 Oct13 Nov
24,058Peak Premier in tracked matches
22Days played since 2026-10-21

Premier CS Rating

  • 216 below peak (23,829)
  • Next: Red band at 25,000 — 1,387 to go
  • Reached: Pink band · Purple band · 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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate37.2%46.8%48.2%11.0% short
Shot accuracy5.1%13.0%13.2%8.1% short
Kill/death ratio0.871.061.070.20 short
Match win rate44.4%46.3%46.9%2.5% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTyFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER23,613 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim83
Positioning62
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY54–38–8Last 10054%Win rateWLLWWTWWLW

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating · −0.0pp headshot accuracy · +30ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 539ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 555ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 540ms

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: Support — Utility contribution stands above the rest of this profile (+1.2 against its own average).

Aim8.3
Utility7.0
Positioning6.2
Opening Duels4.5
Clutch5.4

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

ZywOo

Plays most like ZywOo 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 68% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 68% on T to 52% on CT — first contacts on the defending side are being lost.

Reaction time. 556ms 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

Aim8.3
Positioning6.2
Utility7.0
Mechanics8.4
Opening Duels7.5
Win Impact10.0

Composite 7.9/10 (Strong), 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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time548ms−47ms
first ⅓ avg 595ms → last ⅓ avg 548ms
Headshot accuracy15.1%+1.7%
first ⅓ avg 13.4% → last ⅓ avg 15.1%

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

0.17Best match rating · 13–3 · inferno, 30 Oct →
35%Best headshot accuracy · 13–5 · inferno, 10 Nov →
406msFastest reaction time · 9–5 · inferno, 13 Nov →
13–1Biggest win · inferno, 6 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 86% over 7ancientWeakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
infernoB2713–1448%0.01
ancientC218–1338%-0.00
mirageS1712–571%0.01
cacheB158–753%0.01
nukeA85–363%-0.01
dust2S76–186%-0.01
anubisC52–340%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,835Lifetime kills
0.87K/D
2,997Matches
44.4%Match win rate
37.2%Headshot %
5.1%Shot accuracy
6,969MVPs
1,154Hours (in match)
2,538Bombs planted
759Bombs defused

Most-used weapons

Lifetime map wins

6,133inferno
3,466dust2
1,978nuke
272train
260vertigo
25lake
8bank
8sugarcane

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

Faceit stats

Combat

70Matches
56%Win rate
0.98Avg K/D
77.7ADR
35%Headshot %

Clutches & streaks

47%1v1 clutch win
16%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2050%0.8514.5
Ancient1656%1.0715.4
Inferno1070%1.0616.3
Nuke862%0.8813.3
Cache771%1.3618.0
Anubis617%0.6510.2
Dust2250%1.1313.0
Vertigo1100%1.3117.0

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.

14.1%Headshot accuracy
41.2%Accuracy (enemy spotted)
40.3%Spray accuracy
87.8%Counter-strafing
9.6°Preaim
556msReaction time
68.0%T opening success
51.9%CT opening success
0.66Enemies flashed / flash
10.0%Flash assists
8.60HE damage / grenade
12.87Flashes / 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 14.1408% — below the 15% 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.

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust216–14-0.0214%13 Nov →
ancient8–130.0017%13 Nov →
ancient9–130.018%13 Nov →
nuke13–7-0.0213%13 Nov →
inferno9–50.0214%13 Nov →
inferno8–80.0721%12 Nov →
mirage13–20.0717%12 Nov →
mirage13–70.0314%12 Nov →
cache8–130.0015%12 Nov →
mirage13–100.0418%11 Nov →
mirage13–50.018%11 Nov →
mirage3–13-0.1410%11 Nov →
inferno5–9-0.0122%11 Nov →
ancient15–150.0212%11 Nov →
inferno13–5-0.0335%10 Nov →
dust213–90.0218%10 Nov →
ancient8–13-0.039%10 Nov →
nuke13–60.0310%8 Nov →
inferno8–8-0.0116%8 Nov →
inferno2–9-0.119%8 Nov →
inferno13–100.0113%8 Nov →
inferno13–40.0918%8 Nov →
inferno9–10.0630%8 Nov →
inferno16–130.066%8 Nov →
dust213–50.0416%8 Nov →
anubis14–160.0310%7 Nov →
mirage5–13-0.0822%7 Nov →
nuke13–9-0.019%7 Nov →
cache13–8-0.0235%7 Nov →
mirage13–8-0.0014%7 Nov →
ancient13–100.049%6 Nov →
ancient13–10-0.053%6 Nov →
anubis7–13-0.0412%6 Nov →
cache13–90.0210%6 Nov →
dust21–13-0.0324%6 Nov →
inferno7–9-0.127%6 Nov →
cache13–50.0720%6 Nov →
inferno13–10.0523%6 Nov →
inferno11–13-0.0317%5 Nov →
cache13–30.055%5 Nov →
anubis16–12-0.0111%5 Nov →
ancient13–40.0117%4 Nov →
mirage22–200.046%4 Nov →
ancient7–13-0.0513%4 Nov →
ancient9–13-0.067%4 Nov →
inferno9–40.0514%4 Nov →
dust213–1-0.029%4 Nov →
ancient6–130.018%4 Nov →
ancient13–20.1021%4 Nov →
mirage11–130.0715%4 Nov →
inferno14–16-0.046%2 Nov →
nuke13–6-0.0114%2 Nov →
inferno9–60.0314%1 Nov →
ancient13–110.0012%1 Nov →
ancient13–8-0.037%1 Nov →
cache13–70.0022%31 Oct →
inferno8–130.0617%31 Oct →
inferno8–80.0515%31 Oct →
inferno4–9-0.0721%31 Oct →
dust213–10-0.043%31 Oct →
cache13–90.0217%31 Oct →
ancient7–13-0.0120%30 Oct →
ancient6–130.0314%30 Oct →
ancient13–60.0517%30 Oct →
inferno13–30.1719%30 Oct →
mirage13–80.0715%29 Oct →
mirage13–11-0.0210%29 Oct →
nuke13–16-0.0012%28 Oct →
mirage13–90.0413%27 Oct →
inferno13–100.0413%26 Oct →
mirage13–110.0718%26 Oct →
ancient3–13-0.085%26 Oct →
anubis1–7-0.0518%26 Oct →
ancient1–12-0.026%26 Oct →
cache7–13-0.0627%25 Oct →
cache12–120.0819%24 Oct →
mirage6–13-0.0217%24 Oct →
ancient9–130.0215%24 Oct →
cache15–150.0415%24 Oct →
cache13–8-0.0110%24 Oct →
ancient9–13-0.0513%23 Oct →
nuke13–16-0.0510%23 Oct →
ancient13–70.0711%23 Oct →
anubis13–5-0.0413%23 Oct →
inferno7–130.0115%23 Oct →
inferno10–13-0.0412%23 Oct →
inferno9–130.0413%23 Oct →
cache4–130.0211%23 Oct →
mirage13–6-0.0113%23 Oct →
mirage11–13-0.0311%23 Oct →
inferno13–60.0010%23 Oct →
cache9–13-0.0212%22 Oct →
cache9–13-0.0514%22 Oct →
nuke13–10-0.0110%22 Oct →
nuke15–150.0111%22 Oct →
cache13–40.0123%22 Oct →
dust213–2-0.0410%22 Oct →
inferno13–10-0.0313%22 Oct →
inferno8–80.008%21 Oct →
mirage13–30.0020%21 Oct →

Match data via Leetify.

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.