ttv zhan1206

ttv zhan1206 — CS2 Stats

76561198779278637[U:1:819012909]Steam profile ↗✓ No bans

779Tracked matches50%Win rate2026Tracked since
1,059Hours in CS25Hrs last 2 wks
CSDB Rating4.1 DevelopingPositional Player
Premier CS Rating4,878Grey band · top ~79.3% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (6 days ago). 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: 4,878 -1,551 7 Sept – 25 Oct · 22 days played
4,7706,644peak 6,6447 Sept25 Oct
6,715Peak Premier in tracked matches
32Days played since 2026-09-06

Premier CS Rating

  • 1,766 below peak (6,644)
  • -210 over 30 days · steady
  • Next: Light Blue band at 5,000 — 122 to go
  • Reached: Light Blue band

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches8——
Win rate50%——
K/D0.95——
Headshot %38%——

Measured 24 Oct 2026 → 31 Oct 2026; no observation near 14 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 2 among CSDB-tracked players (n=6,128), 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 rate37.5%41.3%41.8%4.3% short
Shot accuracy0.0%12.7%12.2%12.2% short
Kill/death ratio1.040.950.98above
Match win rate47.9%42.6%43.3%above

This profile matches the typical Level 3 player on 2 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.GGttv zhan1206FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER4,878 · Grey 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

Aim49
Positioning54
Utility10

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateWLWLLWLTLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +0.3pp headshot accuracy · +4ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 592ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 611ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 609ms

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 (+3.3 against its own average).

Aim4.9
Utility1.0
Positioning5.4
Opening Duels1.9
Clutch0.0

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

donk

Plays most like donk 79% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

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 54% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 609ms 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

Aim4.9
Positioning5.4
Utility1.0
Mechanics6.7
Opening Duels3.4
Win Impact5.0

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time616ms+22ms
first ⅓ avg 594ms → last ⅓ avg 616ms
Headshot accuracy10.9%−2.4%
first ⅓ avg 13.4% → last ⅓ avg 10.9%

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 · 9–3 · inferno, 20 Sept →
32%Best headshot accuracy · 7–13 · dust2, 10 Sept →
469msFastest reaction time · 13–8 · ancient, 7 Sept →
13–2Biggest win · nuke, 11 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
12–10In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 67% over 15mirageWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B2914–1548%-0.01
nukeC187–1139%-0.00
ancientS1510–567%-0.01
mirageD144–1029%-0.01
infernoA127–558%0.01
anubisC73–443%-0.03
cacheA53–260%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,961Lifetime kills
1.04K/D · Top 50% of Level 2 players
1,168Matches
47.9%Match win rate · Top 25% of Level 2 players
37.5%Headshot %
0.0%Shot accuracy
3,062MVPs
414Hours (in match)
1,359Bombs planted
232Bombs defused

Most-used weapons

Lifetime map wins

3,439dust2
1,913inferno
1,446nuke
288vertigo
163train
68office
1ar_baggage

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

Faceit stats

Combat

12Matches
42%Win rate
0.96Avg K/D
88.6ADR
46%Headshot %

Clutches & streaks

20%1v1 clutch win
12%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage40%0.9719.5
Ancient333%0.9314.7
Dust22100%1.0416.0
Inferno1100%0.759.0
Cache1100%1.0013.0
Nuke10%1.0030.0

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.

10.6%Headshot accuracy
35.9%Accuracy (enemy spotted)
35.6%Spray accuracy
80.0%Counter-strafing
13.0°Preaim
609msReaction time
53.7%T opening success
33.8%CT opening success
0.26Enemies flashed / flash
2.6%Flash assists
2.57HE damage / grenade
1.41Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.9833° — above the 12° mark we flag

    Aim Training →
  2. 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 10.639% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2571 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–11-0.025%31 Oct →
nuke5–13-0.0916%25 Oct →
ancient13–80.008%25 Oct →
anubis3–13-0.0518%25 Oct →
nuke6–13-0.0314%24 Oct →
nuke13–110.0913%24 Oct →
dust24–13-0.028%24 Oct →
anubis12–12-0.0215%23 Oct →
cache5–130.1010%23 Oct →
dust213–11-0.0812%23 Oct →
cache13–11-0.027%23 Oct →
ancient13–5-0.079%22 Oct →
nuke10–13-0.0114%22 Oct →
inferno9–130.0314%22 Oct →
mirage0–13-0.0818%22 Oct →
dust213–10-0.0323%21 Oct →
ancient8–130.025%21 Oct →
mirage11–130.0111%21 Oct →
mirage13–100.018%20 Oct →
dust211–13-0.049%20 Oct →
nuke7–130.0415%20 Oct →
inferno13–100.025%20 Oct →
inferno10–13-0.007%18 Oct →
cache13–8-0.0222%18 Oct →
ancient13–10-0.028%18 Oct →
dust211–13-0.0116%16 Oct →
ancient13–10-0.035%14 Oct →
nuke13–80.001%14 Oct →
cache13–11-0.027%13 Oct →
dust215–150.036%6 Oct →
anubis6–13-0.0414%29 Sept →
dust213–90.0412%29 Sept →
inferno16–14-0.045%29 Sept →
dust213–7-0.047%27 Sept →
nuke13–110.039%27 Sept →
dust29–13-0.0510%27 Sept →
inferno13–100.0412%25 Sept →
dust213–60.0112%23 Sept →
anubis13–50.046%22 Sept →
nuke6–13-0.0411%21 Sept →
mirage5–13-0.0416%20 Sept →
dust213–90.1213%20 Sept →
ancient13–110.0319%20 Sept →
inferno9–30.1311%20 Sept →
ancient8–130.017%18 Sept →
dust213–9-0.0111%18 Sept →
dust210–130.0014%18 Sept →
dust29–130.0517%17 Sept →
mirage13–60.1214%17 Sept →
nuke14–16-0.029%17 Sept →
nuke13–30.1231%17 Sept →
dust213–5-0.0914%17 Sept →
dust211–13-0.1024%16 Sept →
nuke13–9-0.0419%16 Sept →
cache8–13-0.0514%16 Sept →
dust213–11-0.0415%16 Sept →
mirage13–30.125%16 Sept →
dust213–60.0614%16 Sept →
ancient11–13-0.0611%16 Sept →
anubis13–10-0.0314%16 Sept →
mirage9–13-0.0511%15 Sept →
nuke9–13-0.0224%15 Sept →
dust23–13-0.044%15 Sept →
inferno13–40.0417%14 Sept →
dust210–130.0714%14 Sept →
nuke7–13-0.099%13 Sept →
nuke12–120.0418%13 Sept →
mirage11–13-0.017%13 Sept →
mirage13–110.0414%13 Sept →
inferno6–13-0.0010%13 Sept →
ancient13–110.0214%13 Sept →
dust211–13-0.0113%13 Sept →
ancient13–30.118%13 Sept →
anubis13–9-0.0212%13 Sept →
nuke4–13-0.0722%12 Sept →
mirage4–13-0.0419%11 Sept →
nuke17–190.0314%11 Sept →
nuke13–2-0.0010%11 Sept →
dust24–130.0724%11 Sept →
anubis8–13-0.098%10 Sept →
dust25–130.0612%10 Sept →
inferno11–130.0818%10 Sept →
ancient15–15-0.0320%10 Sept →
dust27–130.0132%10 Sept →
ancient8–13-0.0510%10 Sept →
dust213–8-0.049%9 Sept →
dust213–11-0.0610%9 Sept →
nuke13–80.059%9 Sept →
mirage7–13-0.067%9 Sept →
ancient13–10-0.0211%9 Sept →
dust20–13-0.0212%9 Sept →
dust213–8-0.0215%9 Sept →
mirage9–13-0.0020%8 Sept →
ancient13–60.0217%8 Sept →
inferno12–12-0.049%7 Sept →
mirage8–13-0.0926%7 Sept →
inferno13–9-0.057%7 Sept →
mirage7–13-0.0511%7 Sept →
ancient13–8-0.018%7 Sept →
inferno13–5-0.076%6 Sept →

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 →

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