Tee

Tee — CS2 Stats

US76561199497989130[U:1:1537723402]Steam profile ↗✓ No bans

628Tracked matches43%Win rate2026Tracked since
504Hours in CS18Hrs last 2 wks
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating12,417Blue band · top ~42.1% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 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: 12,417 -2,919 7 Sept – 15 Oct · 23 days played
11,62415,995peak 15,9957 Sept15 Oct
16,346Peak Premier in tracked matches
24Days played since 2026-09-07

Premier CS Rating

  • 3,578 below peak (15,995)
  • -2,583 over 30 days · declining
  • Next: Purple band at 15,000 — 2,583 to go
  • Reached: 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches44——
Win rate48%——
K/D0.93——
Headshot %43%——

Measured 13 Sep 2026 → 16 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate35.0%42.0%44.3%9.3% short
Shot accuracy0.0%9.6%11.9%11.9% short
Kill/death ratio1.010.981.030.03 short
Match win rate51.2%43.8%45.2%above

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGTeePREMIER12,417 · Blue bandcsdb.gg/stats

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Performance scores

Aim69
Positioning48
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY51–42–7Last 10051%Win rateWWWLLWWLLW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +3.4pp headshot accuracy · −99ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 525ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 516ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • 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: Positional Player — Positioning stands above the rest of this profile (+1 against its own average).

Aim6.9
Utility4.7
Positioning4.8
Opening Duels2.0

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

ZywOo

Plays most like ZywOo 95% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 557ms 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

Aim6.9
Positioning4.8
Utility4.7
Mechanics6.7
Opening Duels2.9
Win Impact2.8

Composite 5.0/10 (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 rating-0.02−0.07
first ⅓ avg 0.05 → last ⅓ avg -0.02
Reaction time560ms+19ms
first ⅓ avg 541ms → last ⅓ avg 560ms
Headshot accuracy17.3%−1.2%
first ⅓ avg 18.6% → last ⅓ avg 17.3%

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

0.34Best match rating · 9–1 · nuke, 7 Sept →
55%Best headshot accuracy · 9–4 · inferno, 9 Sept →
367msFastest reaction time · 4–9 · inferno, 7 Sept →
13–1Biggest win · dust2, 16 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
9–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 71% over 7mirageWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoA2314–961%0.03
nukeC198–1142%0.04
dust2C177–1041%-0.01
mirageC114–736%-0.01
anubisS75–271%0.03
ancientS64–267%0.02
cache—43–175%0.05
debris—32–167%0.01
vertigo—21–150%-0.07
poseidon—20–20%0.01
eldorado—20–20%-0.14
shelter—11–0100%-0.03
office—10–10%0.08
overpass—11–0100%-0.08
train—11–0100%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,102Lifetime kills
1.01K/D · Top 50% of Blue band
690Matches
51.2%Match win rate · Top 10% of Blue band
35.0%Headshot %
0.0%Shot accuracy
1,408MVPs
251Hours (in match)
1,019Bombs planted
209Bombs defused

Most-used weapons

Lifetime map wins

1,663dust2
950nuke
608inferno
180train
127vertigo
64office
3ar_shoots

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.9%Headshot accuracy
32.5%Accuracy (enemy spotted)
34.0%Spray accuracy
80.2%Counter-strafing
8.7°Preaim
557msReaction time
44.6%T opening success
38.4%CT opening success
0.68Enemies flashed / flash
14.1%Flash assists
6.15HE damage / grenade
2.99Flashes / 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 2.9866 — 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 38.3641% — below the 40% mark we flag

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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–1-0.0014%16 Oct →
inferno9–50.0221%16 Oct →
mirage13–9-0.0213%16 Oct →
nuke10–13-0.0221%16 Oct →
nuke9–13-0.0313%15 Oct →
shelter13–6-0.0315%15 Oct →
ancient13–30.0912%15 Oct →
dust210–13-0.0529%13 Oct →
office10–130.0822%13 Oct →
inferno13–110.0121%12 Oct →
mirage13–9-0.0111%12 Oct →
cache13–50.028%12 Oct →
anubis13–3-0.0513%11 Oct →
anubis13–50.0318%11 Oct →
ancient6–13-0.067%11 Oct →
nuke5–13-0.088%9 Oct →
mirage9–13-0.0511%8 Oct →
dust28–13-0.0516%8 Oct →
inferno6–13-0.0629%7 Oct →
ancient9–0-0.0125%6 Oct →
dust29–13-0.0118%6 Oct →
mirage7–130.0216%5 Oct →
vertigo4–9-0.1542%28 Sept →
overpass9–6-0.0815%28 Sept →
inferno9–4-0.0812%28 Sept →
vertigo13–70.0113%28 Sept →
anubis13–5-0.0215%28 Sept →
dust211–13-0.0321%27 Sept →
ancient11–130.0213%27 Sept →
dust210–13-0.0415%27 Sept →
mirage3–13-0.0721%27 Sept →
train13–7-0.0230%27 Sept →
dust210–13-0.0117%27 Sept →
inferno5–130.0424%26 Sept →
dust215–150.0726%26 Sept →
nuke13–80.0614%25 Sept →
nuke13–70.0325%25 Sept →
anubis13–50.0719%25 Sept →
mirage9–13-0.0532%23 Sept →
dust213–11-0.0021%23 Sept →
inferno7–13-0.0415%22 Sept →
dust216–14-0.0121%22 Sept →
dust213–80.0916%22 Sept →
dust29–13-0.0812%21 Sept →
nuke8–13-0.0618%13 Sept →
anubis6–13-0.0411%13 Sept →
inferno16–13-0.0112%13 Sept →
ancient13–100.0017%13 Sept →
nuke10–13-0.0212%13 Sept →
inferno13–80.0517%13 Sept →
nuke5–13-0.0326%13 Sept →
cache9–130.0118%12 Sept →
cache13–60.1323%12 Sept →
nuke9–10.1320%11 Sept →
inferno9–10.1413%11 Sept →
mirage10–130.0315%11 Sept →
dust21–13-0.0420%11 Sept →
inferno2–13-0.0410%10 Sept →
dust213–70.0117%10 Sept →
dust211–130.0123%10 Sept →
dust213–110.0115%10 Sept →
poseidon8–80.0119%9 Sept →
inferno9–4-0.0855%9 Sept →
ancient13–90.0512%9 Sept →
mirage13–80.0216%9 Sept →
eldorado1–9-0.2610%9 Sept →
nuke9–50.0625%9 Sept →
nuke8–80.0024%9 Sept →
poseidon8–80.0032%9 Sept →
inferno9–60.0617%9 Sept →
inferno8–80.0214%8 Sept →
inferno9–00.2740%8 Sept →
inferno9–40.0219%8 Sept →
inferno9–13-0.025%8 Sept →
dust213–8-0.0029%8 Sept →
inferno7–9-0.0114%7 Sept →
debris5–9-0.0213%7 Sept →
inferno4–90.0022%7 Sept →
inferno9–10.1214%7 Sept →
nuke9–5-0.0015%7 Sept →
nuke8–80.068%7 Sept →
nuke9–70.1318%7 Sept →
nuke7–90.0721%7 Sept →
nuke9–10.3440%7 Sept →
nuke9–40.1416%7 Sept →
eldorado8–8-0.0220%7 Sept →
inferno4–9-0.0511%7 Sept →
debris9–7-0.0316%7 Sept →
inferno9–70.0315%7 Sept →
nuke9–13-0.0514%7 Sept →
inferno13–80.0529%7 Sept →
debris9–60.0620%7 Sept →
mirage6–13-0.0613%7 Sept →
mirage1–130.0518%7 Sept →
cache16–140.0318%7 Sept →
nuke2–13-0.0416%7 Sept →
mirage13–110.0324%7 Sept →
anubis13–60.1415%7 Sept →
inferno9–20.1815%7 Sept →
anubis10–130.0810%7 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 →

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