archibald

archibald — CS2 Stats

76561198362878061[U:1:402612333]Steam profile ↗✓ No bans

478Tracked matches59%Win rate2020Tracked since
CSDB Rating4.9 DevelopingHybrid Rifler
Premier CS Rating4,999Grey band · top ~78.8% of ranked players (population est.)
CSDB Leaderboard#41614 of 54323 tracked
Ladder ranks via Leetify

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CSDB.GGarchibaldPREMIER4,999 · Grey bandcsdb.gg/stats

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Performance scores

Aim61
Positioning53
Utility48

0–100 skill scores via Leetify.

Recent form

HOT48511Last 10048%Win rateWLWWWWLLWW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.1
Aggression5.9
Utility4.8
Positioning5.3
Opening Duels1.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Areas to improve

Reaction time. 632ms 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
Positioning5.3
Utility4.8
Mechanics6.4
Opening Duels1.2
Win Impact7.9

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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time632ms−60ms
first ⅓ avg 692ms → last ⅓ avg 632ms
Headshot accuracy21.4%−1.2%
first ⅓ avg 22.6% → last ⅓ avg 21.4%

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.

Highlights

0.15Best rating — dust2 8–2
131Biggest win — mirage
5Longest win streak
45In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 56% over 27ancientWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
mirageA27151256%0.03
dust2A27151256%0.01
ancientC156940%0.00
infernoC94544%0.02
overpassB84450%0.03
anubisC73443%0.04
nuke41325%0.01
cache3030%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

21.4%Headshot accuracy
31.9%Accuracy (enemy spotted)
31.1%Spray accuracy
79.0%Counter-strafing
9.9°Preaim
632msReaction time
35.8%T opening success
34.1%CT opening success
0.65Enemies flashed / flash
6.6%Flash assists
5.17HE damage / grenade
11.86Flashes / 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

    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 35.8375% — 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.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–50.0623%29 Aug
mirage2–13-0.0325%28 Aug
dust213–8-0.0318%27 Aug
dust213–80.0430%27 Aug
anubis13–4-0.0124%20 Aug
mirage16–140.0721%19 Aug
dust24–13-0.0219%19 Aug
mirage8–13-0.0134%18 Aug
ancient13–30.0636%18 Aug
ancient13–100.0323%15 Aug
ancient6–13-0.0513%15 Aug
mirage10–130.0516%13 Aug
dust215–15-0.0213%13 Aug
mirage13–10.0720%13 Aug
mirage10–130.0010%12 Aug
inferno13–100.0918%12 Aug
dust213–80.0226%12 Aug
anubis13–80.1016%11 Aug
dust29–13-0.0830%11 Aug
mirage13–90.0829%11 Aug
mirage5–13-0.0518%11 Aug
dust213–10-0.0324%11 Aug
cache7–130.0018%11 Aug
mirage7–130.0120%10 Aug
ancient2–13-0.0513%10 Aug
nuke13–70.0520%10 Aug
anubis13–110.0623%9 Aug
cache6–100.0925%9 Aug
dust28–20.1530%9 Aug
inferno13–30.0614%9 Aug
dust213–80.1015%9 Aug
dust29–13-0.0218%9 Aug
mirage13–100.1224%9 Aug
dust216–130.0324%2 Aug
mirage13–80.0719%31 Jul
dust213–100.0530%23 Jul
dust25–130.1124%23 Jul
nuke7–13-0.0313%18 Jul
dust213–80.0821%18 Jul
nuke4–130.0317%18 Jul
mirage13–60.0825%18 Jul
ancient6–13-0.078%12 Jul
mirage10–13-0.0621%12 Jul
inferno13–110.0728%12 Jul
anubis9–130.0317%12 Jul
nuke8–130.0126%11 Jul
dust27–130.0523%11 Jul
dust212–16-0.0420%11 Jul
cache8–130.0216%4 Jul
anubis6–130.0032%4 Jul
anubis10–130.0522%4 Jul
mirage16–13-0.0521%4 Jul
inferno5–13-0.0429%28 Jun
overpass10–130.0219%28 Jun
ancient13–160.0222%27 Jun
overpass13–30.0142%27 Jun
ancient13–60.0326%20 Jun
mirage13–60.0529%20 Jun
overpass13–10.0727%20 Jun
inferno11–130.0431%20 Jun
overpass13–110.0731%20 Jun
dust213–10-0.0221%20 Jun
mirage7–130.0113%13 Jun
mirage12–80.1125%13 Jun
ancient5–130.0128%13 Jun
ancient13–60.0835%13 Jun
mirage13–80.0815%6 Jun
mirage4–130.0623%6 Jun
ancient7–13-0.0717%6 Jun
dust28–130.0218%31 May
mirage13–100.1112%31 May
dust29–13-0.0126%31 May
mirage7–13-0.0330%30 May
mirage13–20.0729%30 May
dust211–130.008%30 May
overpass5–13-0.0315%30 May
dust213–60.0823%29 May
ancient11–130.1015%29 May
overpass3–130.0520%28 May
dust24–13-0.0817%28 May
dust23–13-0.0328%27 May
ancient13–70.0117%24 May
dust213–7-0.0331%24 May
inferno10–130.0226%24 May
mirage10–130.0530%20 May
inferno7–13-0.0124%19 May
dust213–10-0.0026%19 May
ancient11–13-0.0324%18 May
mirage14–16-0.0223%14 May
overpass8–130.0628%14 May
ancient2–13-0.0917%11 May
inferno10–13-0.0611%9 May
dust213–50.0120%9 May
ancient13–10.0733%9 May
anubis6–130.0221%9 May
mirage13–100.0229%9 May
dust213–70.0021%7 May
mirage13–4-0.0343%6 May
mirage13–3-0.0328%6 May
overpass13–4-0.0115%4 May

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 →