Archibald tibblewink

Archibald tibblewink — CS2 Stats

MT76561198160285627[U:1:200019899]Steam profile ↗✓ No bans

1,333Tracked matches33%Win rate2020Tracked since
1,352Hours in CS
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating12,616Blue band · top ~41% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (2 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: 12,616 +446 10 Jun – 13 Nov · 38 days played
12,17015,811peak 15,81110 Jun13 Nov
16,352Peak Premier in tracked matches
51Days played since 2026-06-10

Premier CS Rating

  • 3,195 below peak (15,811)
  • -1,150 over 30 days · declining
  • -2,556 over 90 days
  • Next: Purple band at 15,000 — 2,384 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-13
  • Blue band first seen 2026-09-13

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
Matches1512+3
Win rate33%25%+8pp
K/D0.940.90+0.04
Headshot %60%55%+5pp

Measured 20 Oct 2026 → 15 Nov 2026; previous 13 Sep 2026 → 20 Oct 2026.

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 1 among CSDB-tracked players (n=2,367), 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 1 medianLevel 2 medianvs Level 2
Headshot rate47.6%40.9%41.3%above
Shot accuracy14.3%14.2%12.7%above
Kill/death ratio0.890.950.950.07 short
Match win rate38.3%42.1%42.6%4.3% short

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

Widest gap: Match win rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGArchibald tibblewinkFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER12,616 · Blue 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

Aim88
Positioning57
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY47–53Last 10047%Win rateLLWLLWWWLL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +8.4pp headshot accuracy · +45ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 29%
  • Avg reaction 613ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 28%
  • Avg reaction 589ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 566ms

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 (+1.5 against its own average).

Aim8.8
Utility2.3
Positioning5.7
Opening Duels3.8
Clutch4.8

Sharp aimerLimited 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 81% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.8
Positioning5.7
Utility2.3
Mechanics5.9
Opening Duels4.3
Win Impact0.0

Composite 5.2/10 (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-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time554ms−84ms
first ⅓ avg 638ms → last ⅓ avg 554ms
Headshot accuracy24.8%−1.1%
first ⅓ avg 25.9% → last ⅓ avg 24.8%

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

0.20Best match rating · 9–2 · inferno, 29 Jun →
63%Best headshot accuracy · 13–5 · nuke, 17 Jul →
391msFastest reaction time · 13–11 · inferno, 26 Sept →
13–2Biggest win · inferno, 12 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
10–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 67% over 21ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoS2114–767%0.01
mirageB199–1047%-0.00
cacheC176–1135%-0.00
nukeC135–838%-0.02
ancientD103–730%-0.00
anubisA85–363%0.00
dust2C52–340%0.00
overpass—21–150%-0.04
sanctum—21–150%0.02
poseidon—21–150%-0.04
stronghold—10–10%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,252Lifetime kills
0.89K/D
3,484Matches
38.3%Match win rate
47.6%Headshot % · Top 25% of Level 1 players
14.3%Shot accuracy · Top 50% of Level 1 players
6,981MVPs
1,352Hours (in match)
1,560Bombs planted
593Bombs defused

Most-used weapons

Lifetime map wins

5,688dust2
4,370inferno
2,549nuke
866vertigo
742train
370cbble
168lake
120office

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

Faceit stats

Combat

70Matches
50%Win rate
1.13Avg K/D
107.7ADR
44%Headshot %

Clutches & streaks

44%1v1 clutch win
33%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3100%2.7517.7
Ancient367%1.6020.0
Dust22100%1.8425.5
Inferno250%1.7620.5
Nuke250%1.3616.0

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.

24.4%Headshot accuracy
40.8%Accuracy (enemy spotted)
46.1%Spray accuracy
76.5%Counter-strafing
10.1°Preaim
546msReaction time
49.8%T opening success
44.9%CT opening success
0.33Enemies flashed / flash
3.6%Flash assists
6.13HE 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

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

    Enemies flashed per flash 0.3283 — below the 0.5 mark we flag

    Grenade Lineups →
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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis9–130.0254%13 Nov →
ancient8–130.0220%13 Nov →
inferno13–20.0525%12 Nov →
nuke5–13-0.0630%12 Nov →
mirage12–16-0.0515%11 Nov →
ancient16–140.0120%11 Nov →
dust213–70.0323%6 Nov →
inferno13–90.0428%6 Nov →
cache10–13-0.0423%5 Nov →
nuke6–130.0141%4 Nov →
inferno13–9-0.0434%4 Nov →
dust29–13-0.0122%30 Oct →
mirage4–13-0.0518%30 Oct →
anubis13–11-0.0118%28 Oct →
ancient14–16-0.0431%27 Oct →
ancient13–4-0.069%3 Oct →
cache8–13-0.036%1 Oct →
ancient11–130.0325%30 Sept →
cache7–13-0.0218%28 Sept →
inferno13–110.0113%26 Sept →
ancient11–13-0.0229%24 Sept →
inferno7–13-0.0843%23 Sept →
inferno5–130.0033%19 Sept →
nuke13–11-0.0821%18 Sept →
mirage10–13-0.0029%16 Sept →
nuke7–130.0215%11 Sept →
anubis5–13-0.0111%10 Sept →
nuke7–13-0.0116%10 Sept →
cache10–130.0132%9 Sept →
inferno3–00.0450%9 Sept →
anubis13–100.0421%9 Sept →
inferno5–13-0.0612%7 Sept →
mirage13–10-0.0233%7 Sept →
anubis7–13-0.0713%5 Sept →
nuke13–10-0.0418%5 Sept →
inferno13–11-0.0121%4 Sept →
cache13–11-0.0035%16 Aug →
dust26–130.0243%6 Aug →
nuke11–13-0.0131%6 Aug →
inferno11–13-0.0426%5 Aug →
dust213–70.0139%5 Aug →
cache4–13-0.0824%29 Jul →
anubis13–7-0.0029%29 Jul →
cache5–13-0.0342%29 Jul →
mirage9–13-0.0417%25 Jul →
cache13–70.0930%25 Jul →
nuke11–13-0.0130%23 Jul →
nuke13–11-0.0322%23 Jul →
inferno13–60.0434%22 Jul →
mirage13–90.0318%22 Jul →
cache13–100.0913%19 Jul →
cache13–16-0.0129%17 Jul →
cache3–13-0.0420%17 Jul →
mirage13–60.0418%17 Jul →
ancient8–13-0.0023%17 Jul →
nuke13–5-0.0163%17 Jul →
inferno7–13-0.0127%16 Jul →
mirage3–13-0.0318%16 Jul →
ancient13–90.0524%16 Jul →
ancient6–13-0.0216%15 Jul →
ancient10–130.0122%13 Jul →
inferno13–70.0816%13 Jul →
anubis13–90.0118%13 Jul →
anubis13–80.0510%12 Jul →
nuke6–13-0.0262%11 Jul →
cache14–16-0.0119%11 Jul →
mirage13–90.0217%11 Jul →
mirage13–11-0.0222%10 Jul →
inferno6–13-0.0313%9 Jul →
nuke13–70.0724%9 Jul →
cache4–13-0.0515%9 Jul →
mirage13–70.0526%9 Jul →
stronghold2–130.0215%8 Jul →
cache13–8-0.0140%8 Jul →
nuke10–13-0.0723%7 Jul →
mirage13–70.0927%7 Jul →
cache13–10-0.0123%7 Jul →
inferno5–130.0213%7 Jul →
dust26–13-0.0221%7 Jul →
cache9–00.0958%7 Jul →
mirage5–13-0.0522%7 Jul →
inferno13–70.0118%6 Jul →
inferno13–2-0.0327%6 Jul →
mirage10–130.0522%5 Jul →
inferno13–9-0.0318%5 Jul →
inferno13–60.1217%5 Jul →
cache9–130.0141%3 Jul →
overpass16–12-0.0218%2 Jul →
mirage13–110.1118%2 Jul →
overpass7–13-0.069%2 Jul →
sanctum9–60.0915%1 Jul →
poseidon9–6-0.0320%1 Jul →
inferno9–7-0.0533%1 Jul →
mirage8–13-0.0428%29 Jun →
sanctum7–9-0.0642%29 Jun →
poseidon4–9-0.0518%29 Jun →
inferno9–20.2056%29 Jun →
mirage8–13-0.0430%26 Jun →
mirage13–80.0044%26 Jun →
mirage3–13-0.1138%10 Jun →

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.