泰拉_乔乔

泰拉_乔乔 — CS2 Stats

76561199076604538[U:1:1116338810]Steam profile ↗✓ No bans

247Tracked matches50%Win rate2022Tracked since
864Hours in CS7Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

+11Tracked matches · now 247
−5.2ppWin rate · 55.2% → 50.0%

Rating over time

Premier CS Rating: 18,513 +2,546 12 Sept – 14 Dec · 10 days played
15,96718,513peak 18,51312 Sept14 Dec
18,513Peak Premier in tracked matches
61Days played since 2025-09-12

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches14——
Win rate50%——
K/D0.97——
Headshot %49%——

Measured 16 Sep 2026 → 11 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,998), 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 rate49.8%42.7%43.7%above
Shot accuracy14.5%11.3%12.0%above
Kill/death ratio0.970.991.020.05 short
Match win rate45.1%43.9%44.7%meets

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG泰拉_乔乔FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.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

Aim60
Positioning64
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY56–36–8Last 10056%Win rateWLWWLLLLLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +6.9pp headshot accuracy · −39ms reaction

Win rate down 30pp 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 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 553ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 605ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 624ms

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: Positional Player — Positioning stands above the rest of this profile (+2.3 against its own average).

Aim6.0
Utility4.8
Positioning6.4
Opening Duels5.2
Clutch0.0

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

jL

Plays most like jL 82% 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

Reaction time. 622ms 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

Aim6.0
Positioning6.4
Utility4.8
Mechanics7.1
Opening Duels4.9
Win Impact5.0

Composite 5.9/10 (Solid), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time616ms−24ms
first ⅓ avg 640ms → last ⅓ avg 616ms
Headshot accuracy15.3%−2.3%
first ⅓ avg 17.6% → last ⅓ avg 15.3%

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 · 13–5 · dust2, 7 Oct →
36%Best headshot accuracy · 2–1 · dust2, 6 Oct →
391msFastest reaction time · 2–1 · dust2, 6 Oct →
13–0Biggest win · dust2, 28 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
3–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 66% over 29anubisWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2S2919–1066%0.01
infernoB2714–1352%0.01
mirageA2615–1158%0.01
anubisC52–340%0.02
ancientC52–340%0.01
nuke—43–175%-0.02
cache—20–20%0.06
train—10–10%0.00
overpass—11–0100%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,438Lifetime kills
0.97K/D
1,366Matches
45.1%Match win rate · Top 50% of Level 4 players
49.8%Headshot % · Top 25% of Level 4 players
14.5%Shot accuracy · Top 50% of Level 4 players
3,308MVPs
592Hours (in match)
1,111Bombs planted
267Bombs defused

Most-used weapons

Lifetime map wins

3,204inferno
3,201dust2
510nuke
499vertigo
203train
106office
100italy
100aztec

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

Faceit stats

Combat

22Matches
64%Win rate
1.06Avg K/D
73.5ADR
52%Headshot %

Clutches & streaks

20%1v1 clutch win
14%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage580%1.1114.0
Inferno4100%0.9515.0
Overpass250%1.0217.0
Dust210%0.5910.0
Ancient1100%0.8618.0
Vertigo10%0.377.0

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.

15.0%Headshot accuracy
34.8%Accuracy (enemy spotted)
35.0%Spray accuracy
82.0%Counter-strafing
10.8°Preaim
622msReaction time
47.8%T opening success
51.0%CT opening success
0.51Enemies flashed / flash
7.4%Flash assists
6.65HE damage / grenade
7.54Flashes / match

Recommended for you

Spend your practice time on Anubis

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.0213%10 Oct →
inferno11–13-0.0117%6 Oct →
dust22–10.1136%6 Oct →
nuke13–60.0627%5 Oct →
mirage11–13-0.0118%4 Oct →
anubis3–130.0111%2 Oct →
inferno13–160.0421%30 Sept →
anubis3–13-0.0716%30 Sept →
dust25–130.0325%30 Sept →
dust216–12-0.068%29 Sept →
dust29–13-0.0212%27 Jun →
inferno13–6-0.047%27 Jun →
mirage13–20.0310%23 Jun →
dust213–90.0210%8 Jun →
inferno13–60.0011%5 Jun →
anubis13–50.0719%1 Jun →
cache10–130.0911%1 Jun →
dust213–60.0825%31 May →
mirage13–20.0313%30 May →
dust28–13-0.057%25 May →
dust213–20.0315%19 May →
dust213–4-0.0510%16 May →
mirage9–130.0114%6 May →
cache11–130.0314%4 May →
dust21–13-0.0820%23 Apr →
dust213–90.0618%17 Apr →
mirage13–3-0.0511%16 Mar →
anubis10–13-0.0318%4 Mar →
ancient6–13-0.019%4 Mar →
train4–130.0024%4 Mar →
dust213–30.0811%4 Mar →
inferno13–7-0.0314%18 Feb →
inferno11–130.0612%1 Jan →
dust213–100.0219%14 Dec →
inferno6–13-0.072%10 Dec →
inferno13–9-0.0317%30 Nov →
ancient13–40.0822%30 Nov →
dust24–13-0.0723%25 Nov →
mirage12–120.0722%24 Nov →
dust210–13-0.0328%21 Nov →
mirage13–4-0.0316%7 Nov →
dust28–13-0.039%7 Nov →
inferno11–130.0429%30 Oct →
dust213–50.0115%20 Oct →
inferno7–13-0.0322%20 Oct →
inferno7–13-0.0221%19 Oct →
inferno9–130.0019%18 Oct →
inferno12–120.0325%16 Oct →
inferno13–70.0424%15 Oct →
dust25–130.0418%15 Oct →
inferno13–100.0032%14 Oct →
mirage13–50.038%13 Oct →
inferno13–40.0414%13 Oct →
mirage6–130.1021%13 Oct →
inferno13–20.0818%11 Oct →
mirage7–130.0722%10 Oct →
dust212–12-0.0413%10 Oct →
ancient7–13-0.0513%8 Oct →
mirage8–130.0420%8 Oct →
dust213–50.1831%7 Oct →
inferno13–60.1114%7 Oct →
mirage13–70.0624%7 Oct →
inferno13–11-0.0314%6 Oct →
dust213–10-0.0411%2 Oct →
dust213–1-0.0021%2 Oct →
mirage12–12-0.0725%28 Sept →
dust213–0-0.0217%28 Sept →
inferno5–130.0311%27 Sept →
mirage16–120.0223%27 Sept →
mirage11–60.0218%25 Sept →
inferno3–13-0.087%25 Sept →
inferno13–110.0620%23 Sept →
mirage13–90.0017%22 Sept →
dust213–50.0313%22 Sept →
ancient12–12-0.0223%22 Sept →
mirage13–70.0516%22 Sept →
dust213–4-0.0026%22 Sept →
inferno12–120.0116%21 Sept →
inferno12–120.0926%21 Sept →
mirage8–13-0.0512%20 Sept →
mirage13–80.0017%20 Sept →
dust213–8-0.0125%20 Sept →
nuke1–10-0.140%20 Sept →
anubis13–90.1425%19 Sept →
mirage12–12-0.0420%19 Sept →
dust213–8-0.0111%19 Sept →
inferno13–7-0.0116%18 Sept →
mirage13–60.039%18 Sept →
inferno13–60.0123%17 Sept →
mirage13–30.0015%17 Sept →
overpass13–7-0.0218%17 Sept →
nuke13–30.0316%16 Sept →
mirage9–130.0523%16 Sept →
mirage7–13-0.0813%15 Sept →
dust213–90.0316%15 Sept →
ancient13–30.0428%15 Sept →
inferno13–20.0311%14 Sept →
dust28–13-0.0220%14 Sept →
mirage13–70.0225%13 Sept →
mirage13–70.0423%12 Sept →

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 →

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