kirk danger

kirk danger — CS2 Stats

76561199631652696[U:1:1671386968]Steam profile ↗✓ No bans

1,461Tracked matches48%Win rate2024Tracked since
1,952Hours in CS31Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating14,774Blue band · top ~29.6% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+353Premier CS Rating · 14,421 → 14,774

Rating over time

Premier CS Rating: 14,774 +3,871 31 Aug – 7 Nov · 36 days played
10,90318,342peak 18,34231 Aug7 Nov
18,668Peak Premier in tracked matches
35Days played since 2026-08-31

Premier CS Rating

  • 3,568 below peak (18,342)
  • -2,811 over 30 days · declining
  • Next: Purple band at 15,000 — 226 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-08-31
  • Light Blue band first seen 2026-08-31

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 rate33.6%42.0%44.4%10.7% short
Shot accuracy0.0%9.6%11.9%11.9% short
Kill/death ratio0.980.981.030.05 short
Match win rate37.6%43.8%45.2%7.6% short

This profile sits below the typical Purple band player on every metric we can compare.

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.GGkirk dangerPREMIER14,774 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning70
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateWLWWTLLLWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −1.4pp headshot accuracy · −36ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 15%
  • Avg reaction 519ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 593ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 611ms

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 (+1.4 against its own average).

Aim5.9
Utility3.2
Positioning7.0
Opening Duels6.6

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

s1mple

Plays most like s1mple 74% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Strengths

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 71% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 606ms 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

Aim5.9
Positioning7.0
Utility3.2
Mechanics5.5
Opening Duels8.8
Win Impact4.4

Composite 5.5/10 (Solid), 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 rating0.03+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time603ms−5ms
first ⅓ avg 608ms → last ⅓ avg 603ms
Headshot accuracy15.7%+4.4%
first ⅓ avg 11.3% → last ⅓ avg 15.7%

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 · 13–2 · nuke, 18 Oct →
25%Best headshot accuracy · 3–13 · vertigo, 29 Oct →
438msFastest reaction time · 13–8 · nuke, 28 Oct →
13–2Biggest win · nuke, 18 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

ancientBest map · 67% over 6cacheWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C229–1341%0.01
nukeB2010–1050%0.02
officeB158–753%0.06
mirageA138–562%0.03
anubisB84–450%0.01
cacheD81–713%-0.02
ancientS64–267%0.00
infernoD62–433%-0.03
vertigo—21–150%0.01

Across the last 100 tracked matches.

Lifetime stats

42,786Lifetime kills
0.98K/D · Top 50% of Blue band
2,416Matches
37.6%Match win rate
33.6%Headshot %
0.0%Shot accuracy
4,270MVPs
774Hours (in match)
1,596Bombs planted
544Bombs defused

Most-used weapons

AK-476,698
MAC-104,424
MP92,619
AWP2,605
MAG-71,069
MP71,021

Lifetime map wins

3,533nuke
3,280dust2
2,148inferno
759vertigo
511train
226office
66ar_shoots
43ar_baggage

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.

15.0%Headshot accuracy
37.9%Accuracy (enemy spotted)
40.6%Spray accuracy
74.8%Counter-strafing
12.7°Preaim
606msReaction time
70.8%T opening success
60.1%CT opening success
0.36Enemies flashed / flash
2.9%Flash assists
12.14HE damage / grenade
3.18Flashes / 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 12.6666° — 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 14.993% — 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 0.3642 — below the 0.5 mark we flag

    Grenade Lineups →
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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
office13–70.0818%7 Nov →
office11–13-0.0114%7 Nov →
dust213–80.0211%7 Nov →
anubis13–100.0411%6 Nov →
office12–120.1119%6 Nov →
office7–130.0313%6 Nov →
mirage10–130.0620%5 Nov →
dust22–13-0.0216%5 Nov →
office13–110.037%5 Nov →
nuke7–130.026%4 Nov →
cache4–50.0213%4 Nov →
office6–130.0711%2 Nov →
office12–120.0913%2 Nov →
office11–20.0120%2 Nov →
office13–60.0310%2 Nov →
dust213–11-0.0613%31 Oct →
dust213–11-0.0313%30 Oct →
office13–60.1024%30 Oct →
dust214–160.0617%30 Oct →
dust211–13-0.0415%30 Oct →
dust24–13-0.0316%29 Oct →
office13–50.1020%29 Oct →
dust213–30.0716%29 Oct →
dust212–120.0414%29 Oct →
office13–70.0319%29 Oct →
vertigo3–130.0225%29 Oct →
office5–130.0911%29 Oct →
office3–130.1016%29 Oct →
mirage9–130.0212%28 Oct →
nuke13–80.0523%28 Oct →
nuke13–110.0723%28 Oct →
nuke10–130.0224%26 Oct →
ancient2–13-0.0317%25 Oct →
cache14–16-0.059%25 Oct →
nuke13–70.0714%25 Oct →
nuke6–13-0.0116%25 Oct →
mirage13–10-0.0316%24 Oct →
nuke11–130.0419%24 Oct →
office13–90.047%24 Oct →
nuke9–13-0.0510%22 Oct →
nuke13–80.0113%22 Oct →
inferno15–15-0.0613%21 Oct →
anubis7–130.0822%21 Oct →
cache6–130.0111%20 Oct →
inferno10–13-0.038%20 Oct →
anubis2–110.023%20 Oct →
cache11–13-0.0214%20 Oct →
vertigo13–90.0015%20 Oct →
mirage16–120.1122%19 Oct →
nuke4–110.0019%19 Oct →
dust213–100.0411%19 Oct →
nuke9–130.0213%18 Oct →
inferno6–13-0.065%18 Oct →
nuke13–11-0.0217%18 Oct →
mirage5–13-0.0214%18 Oct →
cache8–13-0.0019%18 Oct →
ancient13–70.0211%18 Oct →
ancient13–4-0.019%18 Oct →
dust216–14-0.0011%18 Oct →
nuke13–20.1814%18 Oct →
mirage9–130.0315%18 Oct →
nuke13–60.0616%17 Oct →
dust213–30.0819%17 Oct →
mirage16–12-0.0511%16 Oct →
dust29–13-0.018%14 Oct →
nuke8–13-0.0511%14 Oct →
dust213–7-0.0113%14 Oct →
cache10–13-0.0513%13 Oct →
dust210–13-0.0215%12 Oct →
nuke13–100.0810%11 Oct →
mirage6–13-0.036%11 Oct →
mirage13–100.0412%10 Oct →
inferno9–13-0.078%10 Oct →
anubis13–70.0010%10 Oct →
nuke13–100.0810%10 Oct →
anubis13–100.0014%10 Oct →
nuke6–13-0.0111%9 Oct →
mirage13–50.159%9 Oct →
dust212–120.0918%9 Oct →
dust212–120.0512%9 Oct →
ancient14–16-0.047%8 Oct →
nuke13–7-0.028%8 Oct →
anubis13–80.027%8 Oct →
inferno13–11-0.027%7 Oct →
dust211–13-0.049%7 Oct →
anubis6–13-0.084%6 Oct →
dust213–50.059%6 Oct →
anubis10–130.0214%4 Oct →
ancient13–70.038%3 Oct →
nuke9–13-0.0612%1 Oct →
cache16–140.0214%30 Sept →
mirage13–50.008%30 Sept →
dust24–13-0.0219%29 Sept →
dust26–13-0.0513%26 Sept →
inferno13–50.087%26 Sept →
mirage13–110.0420%26 Sept →
mirage13–40.1214%26 Sept →
ancient13–90.0419%25 Sept →
cache3–13-0.092%25 Sept →
dust27–13-0.0425%25 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 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.