Teekay__

Teekay__ — CS2 Stats

CA76561198137342664[U:1:177076936]Steam profile ↗✓ No bans

672Tracked matches48%Win rate2020Tracked since
416Hours in CS
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating12,514Blue band · top ~41.6% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 672 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,514 +17 27 Jul – 29 Oct · 25 days played
11,52713,056peak 13,05627 Jul29 Oct
13,398Peak Premier in tracked matches
25Days played since 2026-07-27

Premier CS Rating

  • 542 below peak (13,056)
  • 0 over 30 days · steady
  • -337 over 90 days
  • Next: Purple band at 15,000 — 2,486 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-30
  • Light Blue band first seen 2026-08-30

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 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 rate37.6%42.0%44.4%6.8% short
Shot accuracy5.2%9.6%11.9%6.6% short
Kill/death ratio1.040.981.03meets
Match win rate43.3%43.8%45.2%1.9% short

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.GGTeekay__PREMIER12,514 · Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning52
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY43–49–8Last 10043%Win rateLLWWLWLLLW

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · −0.8pp headshot accuracy · +16ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 634ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 644ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 636ms

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 (+2.4 against its own average).

Aim6.1
Utility4.7
Positioning5.2
Opening Duels1.5
Clutch0.0

Strong CT-side openerLimited 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

iM

Plays most like iM 86% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 45% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 626ms 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

Aim6.1
Positioning5.2
Utility4.7
Mechanics6.3
Opening Duels1.8
Win Impact4.4

Composite 4.9/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time624ms+13ms
first ⅓ avg 610ms → last ⅓ avg 624ms
Headshot accuracy15.0%+1.1%
first ⅓ avg 13.9% → last ⅓ avg 15.0%

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

0.24Best match rating · 9–2 · inferno, 26 Aug →
38%Best headshot accuracy · 13–1 · cache, 31 Jul →
453msFastest reaction time · 7–13 · dust2, 13 Aug →
13–1Biggest win · train, 13 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
6–4In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 58% over 12officeWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB1910–953%-0.01
nukeC167–944%-0.01
dust2C135–838%-0.00
infernoC135–838%0.05
ancientA127–558%0.04
cacheC114–736%0.02
officeD91–811%-0.01
anubis—42–250%-0.02
vertigo—21–150%-0.04
train—11–0100%-0.00

Across the last 100 tracked matches.

Lifetime stats

18,660Lifetime kills
1.04K/D · Top 50% of Blue band
1,155Matches
43.3%Match win rate
37.6%Headshot %
5.2%Shot accuracy
2,204MVPs
416Hours (in match)
1,175Bombs planted
266Bombs defused

Most-used weapons

Lifetime map wins

1,597inferno
1,416dust2
1,237office
1,136nuke
153vertigo
51train
36lake
16bank

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

Faceit stats

Combat

2Matches
0%Win rate
1.04Avg K/D
91.4ADR
58%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Cache10%0.9416.0
Mirage10%1.1317.0

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.

14.5%Headshot accuracy
33.6%Accuracy (enemy spotted)
39.6%Spray accuracy
78.3%Counter-strafing
10.0°Preaim
626msReaction time
21.0%T opening success
44.8%CT opening success
0.59Enemies flashed / flash
6.3%Flash assists
12.98HE damage / grenade
2.59Flashes / 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 14.5181% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.5942 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 21.0064% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache3–100.0122%15 Sept →
nuke10–130.0213%27 Aug →
mirage13–110.0713%26 Aug →
nuke13–10-0.0121%26 Aug →
dust29–13-0.0313%26 Aug →
inferno9–20.2418%26 Aug →
mirage4–13-0.052%25 Aug →
dust25–13-0.0419%25 Aug →
cache5–13-0.078%25 Aug →
mirage13–60.036%24 Aug →
ancient13–60.0316%24 Aug →
cache13–110.0322%24 Aug →
mirage10–13-0.029%23 Aug →
inferno5–9-0.0517%23 Aug →
inferno9–20.0213%23 Aug →
inferno8–80.0411%23 Aug →
nuke13–8-0.0513%17 Aug →
nuke6–13-0.0510%17 Aug →
cache7–13-0.0321%16 Aug →
mirage13–9-0.0212%15 Aug →
nuke8–130.0015%15 Aug →
ancient16–130.1115%15 Aug →
dust27–13-0.0425%13 Aug →
train13–1-0.0020%13 Aug →
mirage13–9-0.0216%13 Aug →
dust213–20.0320%13 Aug →
nuke4–13-0.0915%12 Aug →
ancient13–110.059%11 Aug →
inferno11–13-0.0222%11 Aug →
inferno8–130.0124%10 Aug →
mirage8–13-0.0410%10 Aug →
nuke13–100.1110%10 Aug →
dust213–70.1216%10 Aug →
inferno15–150.076%9 Aug →
mirage9–130.0314%9 Aug →
ancient13–80.036%9 Aug →
dust211–130.0110%9 Aug →
dust213–100.056%9 Aug →
office4–13-0.0327%9 Aug →
office4–13-0.0612%8 Aug →
ancient4–130.0516%8 Aug →
ancient6–130.0310%8 Aug →
cache8–130.0815%8 Aug →
mirage12–12-0.027%6 Aug →
nuke9–130.0320%6 Aug →
dust27–130.0211%6 Aug →
inferno13–70.1214%6 Aug →
anubis13–6-0.0212%6 Aug →
mirage13–16-0.0113%5 Aug →
inferno9–60.1420%5 Aug →
nuke13–70.0226%5 Aug →
nuke10–130.076%5 Aug →
nuke5–13-0.0510%4 Aug →
mirage13–7-0.0219%4 Aug →
ancient13–50.1216%4 Aug →
dust210–13-0.029%4 Aug →
cache15–15-0.018%3 Aug →
mirage13–9-0.0620%3 Aug →
nuke13–100.0310%3 Aug →
mirage13–160.0114%3 Aug →
anubis5–13-0.0510%3 Aug →
office10–130.0234%3 Aug →
office11–130.0516%2 Aug →
office7–130.0121%2 Aug →
dust213–5-0.049%2 Aug →
office12–120.0619%2 Aug →
inferno11–130.0318%2 Aug →
cache13–10.0738%31 Jul →
nuke13–3-0.028%31 Jul →
mirage8–13-0.0513%31 Jul →
anubis7–13-0.0221%31 Jul →
vertigo9–40.049%31 Jul →
inferno9–40.0821%31 Jul →
nuke8–8-0.097%31 Jul →
inferno8–8-0.024%31 Jul →
mirage13–20.057%31 Jul →
cache13–110.019%31 Jul →
ancient13–11-0.0012%31 Jul →
office13–10-0.037%31 Jul →
mirage13–9-0.0110%30 Jul →
nuke4–5-0.067%30 Jul →
dust210–13-0.0421%30 Jul →
ancient7–130.0317%30 Jul →
office8–13-0.0521%30 Jul →
vertigo3–13-0.127%30 Jul →
dust20–13-0.0713%30 Jul →
nuke8–130.0215%30 Jul →
mirage13–80.0612%29 Jul →
ancient10–130.0314%29 Jul →
cache8–130.018%29 Jul →
cache7–13-0.0422%29 Jul →
office12–12-0.0419%29 Jul →
inferno7–13-0.007%29 Jul →
mirage2–13-0.1311%28 Jul →
ancient9–130.0113%28 Jul →
dust216–120.0418%28 Jul →
anubis7–3-0.0029%28 Jul →
cache13–10.1624%27 Jul →
ancient13–80.064%27 Jul →
mirage13–90.0314%27 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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