Taylor Kirk

Taylor Kirk — CS2 Stats

IL76561199028675443[U:1:1068409715]Steam profile ↗✓ No bans

201Tracked matches52%Win rate2020Tracked since
643Hours in CS20Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating7,693Light Blue band · top ~65.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 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: 7,693 -2,306 24 Jul – 11 Nov · 38 days played
6,4069,999peak 9,99924 Jul11 Nov
9,999Peak Premier in tracked matches
39Days played since 2026-07-24

Premier CS Rating

  • 2,306 below peak (9,999)
  • +597 over 30 days · improving
  • -2,200 over 90 days
  • Next: Blue band at 10,000 — 2,307 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.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate57.5%39.9%42.0%above
Shot accuracy11.2%7.0%9.6%above
Kill/death ratio0.950.920.980.03 short
Match win rate38.4%42.3%43.8%5.4% short

This profile matches the typical Blue band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGTaylor KirkPREMIER7,693 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim68
Positioning48
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY44–53–3Last 10044%Win rateLLWLLWWLLW

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −1.3pp headshot accuracy · −65ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 29%
  • Avg reaction 658ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 662ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 29%
  • Avg reaction 694ms

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 (+1.6 against its own average).

Aim6.8
Utility2.4
Positioning4.8
Opening Duels2.5

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 91% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; 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 56% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 672ms 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

Aim6.8
Positioning4.8
Utility2.4
Mechanics7.5
Opening Duels4.4
Win Impact5.6

Composite 4.9/10 (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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time668ms−5ms
first ⅓ avg 673ms → last ⅓ avg 668ms
Headshot accuracy30.1%+5.4%
first ⅓ avg 24.7% → last ⅓ avg 30.1%

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

0.21Best match rating · 9–7 · inferno, 22 Aug →
57%Best headshot accuracy · 13–6 · cache, 7 Nov →
430msFastest reaction time · 3–9 · vertigo, 26 Oct →
13–1Biggest win · mirage, 9 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
7–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 67% over 9ancientWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
dust2C197–1237%-0.01
ancientC176–1135%-0.01
mirageA1710–759%-0.00
cacheC135–838%0.01
nukeA116–555%0.01
anubisC104–640%0.00
infernoS96–367%0.03
vertigo—20–20%-0.08
poseidon—10–10%-0.16
office—10–10%0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,561Lifetime kills
0.95K/D · Top 50% of Light Blue band
1,155Matches
38.4%Match win rate
57.5%Headshot % · Top 5% of Light Blue band
11.2%Shot accuracy · Top 50% of Light Blue band
2,457MVPs
302Hours (in match)
505Bombs planted
211Bombs defused

Most-used weapons

Lifetime map wins

1,186dust2
1,150inferno
791nuke
736vertigo
677train
160cbble
144lake
76office

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.

29.5%Headshot accuracy
32.4%Accuracy (enemy spotted)
34.4%Spray accuracy
83.5%Counter-strafing
11.8°Preaim
672msReaction time
56.4%T opening success
39.0%CT opening success
0.43Enemies flashed / flash
3.4%Flash assists
4.60HE damage / grenade
7.46Flashes / 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

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

    Enemies flashed per flash 0.4322 — below the 0.5 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 38.9647% — below the 40% mark we flag

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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient10–13-0.0416%11 Nov →
cache3–130.0332%11 Nov →
ancient13–80.0619%11 Nov →
mirage10–13-0.0135%11 Nov →
dust211–130.0441%11 Nov →
nuke13–100.0422%10 Nov →
mirage13–10.0440%9 Nov →
mirage1–13-0.0826%9 Nov →
dust211–13-0.0127%9 Nov →
mirage13–2-0.0121%8 Nov →
dust213–100.0227%8 Nov →
nuke13–90.1332%7 Nov →
cache13–6-0.0457%7 Nov →
anubis13–9-0.0433%7 Nov →
ancient9–13-0.0318%7 Nov →
anubis13–30.0925%7 Nov →
ancient14–160.0242%5 Nov →
mirage2–8-0.0818%5 Nov →
nuke11–13-0.0420%5 Nov →
dust213–20.0720%3 Nov →
ancient1–11-0.0038%3 Nov →
mirage15–150.0328%28 Oct →
mirage5–13-0.0421%28 Oct →
vertigo3–9-0.1243%26 Oct →
cache13–80.0639%26 Oct →
ancient9–130.0236%20 Oct →
mirage13–90.0542%20 Oct →
inferno13–60.0211%20 Oct →
anubis3–13-0.0335%20 Oct →
dust213–7-0.0128%18 Oct →
mirage13–3-0.0229%18 Oct →
dust213–70.0337%14 Oct →
mirage13–10-0.0036%14 Oct →
anubis5–130.0839%9 Oct →
dust25–130.0128%9 Oct →
cache8–13-0.0145%9 Oct →
mirage14–160.0146%8 Oct →
cache9–13-0.0039%8 Oct →
mirage16–13-0.0139%7 Oct →
mirage13–11-0.0131%6 Oct →
ancient5–13-0.0233%6 Oct →
ancient13–100.0441%6 Oct →
nuke10–130.0919%6 Oct →
mirage13–70.0524%6 Oct →
mirage13–80.0321%6 Oct →
ancient9–13-0.0219%6 Oct →
anubis13–9-0.0126%6 Oct →
dust20–6-0.1313%6 Oct →
inferno13–8-0.0137%4 Oct →
ancient4–13-0.0423%4 Oct →
dust29–130.0328%3 Oct →
anubis13–11-0.0223%3 Oct →
cache11–130.0131%2 Oct →
cache13–2-0.0031%2 Oct →
inferno16–13-0.0111%2 Oct →
dust215–150.0525%29 Sept →
dust213–3-0.0317%29 Sept →
inferno7–13-0.0223%28 Sept →
dust211–13-0.0231%27 Sept →
nuke13–90.0130%27 Sept →
dust213–70.0120%25 Sept →
dust26–13-0.0439%16 Sept →
ancient0–12-0.0922%16 Sept →
ancient13–8-0.0030%16 Sept →
anubis5–13-0.0722%4 Sept →
anubis11–130.0233%1 Sept →
inferno5–13-0.0128%1 Sept →
anubis4–130.0231%1 Sept →
nuke16–140.0025%26 Aug →
ancient6–13-0.0419%26 Aug →
inferno9–70.2141%22 Aug →
poseidon3–9-0.1617%22 Aug →
nuke6–13-0.0219%21 Aug →
mirage5–130.0519%21 Aug →
vertigo4–9-0.0414%21 Aug →
nuke8–80.0229%21 Aug →
ancient13–10.0936%21 Aug →
nuke11–13-0.0516%18 Aug →
cache13–10.0520%18 Aug →
ancient8–13-0.0331%18 Aug →
dust29–13-0.0123%16 Aug →
nuke13–10-0.0340%16 Aug →
dust25–13-0.1138%11 Aug →
inferno10–6-0.0412%10 Aug →
nuke13–11-0.0128%6 Aug →
ancient13–20.0118%6 Aug →
mirage13–11-0.0414%5 Aug →
dust26–13-0.0631%5 Aug →
cache5–00.0638%5 Aug →
cache5–13-0.0116%5 Aug →
dust213–30.0523%5 Aug →
inferno12–160.0127%4 Aug →
dust28–13-0.0325%27 Jul →
cache6–13-0.0526%27 Jul →
cache10–13-0.0222%25 Jul →
ancient13–4-0.0536%25 Jul →
anubis7–13-0.0216%25 Jul →
office4–130.0818%25 Jul →
cache7–130.0232%25 Jul →
inferno13–110.0820%24 Jul →

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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