Global Hunter

Global Hunter — CS2 Stats

FI76561199250808165[U:1:1290542437]Steam profile ↗✓ No bans

118Tracked matches48%Win rate2022Tracked since
CSDB Rating6.4 SolidOpening Duellist
Ladder ranks via Leetify

Performance scores

Aim69
Positioning68
Utility57

0–100 skill scores via Leetify.

Recent form

COLD55–39–6Last 10055%Win rateWLLLLWLLLL

Last 10 vs previous 10: −60pp win rate · −0.01 avg rating · +2.8pp headshot accuracy · −31ms reaction

Win rate down 60pp 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 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 608ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 595ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • 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: Opening Duellist — Winning opening duels is what stands out in this profile (+1.1 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim6.9
Utility5.7
Positioning6.8
Opening Duels7.9

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

m0NESY

Plays most like m0NESY 73% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 66% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 608ms 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

Aim6.9
Positioning6.8
Utility5.7
Mechanics7.1
Opening Duels6.3
Win Impact4.4

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.00
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time610ms+3ms
first ⅓ avg 607ms → last ⅓ avg 610ms
Headshot accuracy19.7%+4.4%
first ⅓ avg 15.3% → last ⅓ avg 19.7%

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

0.27Best match rating · 13–1 · nuke, 10 Oct →
50%Best headshot accuracy · 3–0 · nuke, 14 Jul →
438msFastest reaction time · 3–9 · mirage, 16 Jan →
16–2Biggest win · inferno, 25 Aug →

Across the last 100 tracked matches.

Highlights

10Longest win streak
3–12In matches decided by ≤2 rounds
41Overtime games

Map breakdown

infernoBest map · 70% over 27vertigoWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoS2719–870%0.04
nukeB189–950%0.05
ancientA138–562%0.04
mirageA85–363%0.04
anubisB84–450%0.06
overpassA74–357%0.05
trainC73–443%0.04
vertigoC52–340%0.05
cache—41–325%0.02
dust2—30–30%-0.02

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Vertigo 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.

18.8%Headshot accuracy
33.5%Accuracy (enemy spotted)
35.6%Spray accuracy
82.0%Counter-strafing
9.3°Preaim
608msReaction time
44.8%T opening success
65.6%CT opening success
0.63Enemies flashed / flash
8.5%Flash assists
10.01HE damage / grenade
14.92Flashes / match

Recommended for you

Spend your practice time on Vertigo

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 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–30.1023%7 Sept →
inferno11–130.0423%7 Sept →
nuke7–130.0120%16 Jan →
ancient8–13-0.0321%16 Jan →
ancient4–130.0313%16 Jan →
inferno13–50.1125%16 Jan →
mirage3–13-0.0523%16 Jan →
overpass10–130.0111%16 Jan →
inferno11–130.0025%16 Jan →
mirage3–90.0420%16 Jan →
mirage16–13-0.0122%16 Jan →
nuke13–30.0125%24 Nov →
overpass13–60.0416%24 Nov →
mirage13–10.0815%24 Nov →
inferno13–100.0416%24 Nov →
nuke15–150.0614%9 Nov →
ancient13–50.0315%9 Nov →
overpass7–130.0215%9 Nov →
ancient13–40.0721%30 Sept →
inferno13–50.0418%30 Sept →
dust212–120.0224%14 Jul →
vertigo8–130.0620%14 Jul →
nuke11–130.0125%14 Jul →
nuke3–00.0650%14 Jul →
inferno12–120.1016%8 Jul →
ancient13–80.0216%8 Jul →
ancient14–160.0611%9 Jun →
ancient4–130.0215%6 Jun →
train7–13-0.0516%6 Jun →
mirage13–50.0722%6 Jun →
anubis10–130.0621%6 Jun →
inferno8–130.0224%6 Jun →
ancient13–5-0.0110%6 Jun →
train13–60.0123%26 May →
inferno13–100.1325%26 May →
nuke15–150.0418%26 May →
ancient13–80.0810%26 May →
anubis10–130.0225%26 May →
train8–130.0521%18 Jan →
vertigo13–20.0833%9 Jan →
nuke13–110.0514%9 Jan →
anubis11–13-0.0013%28 Dec →
nuke13–70.0332%28 Dec →
overpass6–13-0.047%29 Oct →
anubis13–80.0618%29 Oct →
inferno13–30.0524%29 Oct →
mirage13–30.0923%29 Oct →
anubis13–80.0717%10 Oct →
inferno13–8-0.016%10 Oct →
nuke13–10.2714%10 Oct →
ancient13–100.026%10 Oct →
anubis13–40.1121%3 Oct →
inferno13–70.0311%13 Mar →
overpass13–00.2214%13 Mar →
nuke12–12-0.059%13 Mar →
vertigo11–130.0314%13 Mar →
anubis4–160.1023%1 May →
overpass9–50.0115%27 Mar →
nuke9–40.1021%27 Mar →
ancient9–30.0313%12 Mar →
inferno7–90.1018%12 Mar →
nuke7–90.0412%13 Jan →
inferno16–90.0618%13 Jan →
inferno14–16-0.0224%13 Jan →
anubis16–130.0731%13 Jan →
nuke14–160.0813%9 Jan →
overpass16–60.1115%9 Jan →
inferno16–40.0618%9 Jan →
nuke13–16-0.0211%22 Sept →
vertigo11–160.0516%22 Sept →
inferno16–9-0.0116%22 Sept →
inferno16–80.0714%17 Sept →
mirage16–30.058%17 Sept →
train3–16-0.0414%17 Sept →
ancient10–160.079%16 Sept →
inferno7–160.0928%16 Sept →
cache15–15-0.0122%5 Sept →
train16–120.1313%25 Aug →
inferno16–20.0413%25 Aug →
inferno16–120.0610%14 Aug →
inferno16–60.0217%13 Jul →
cache14–16-0.0113%22 Jun →
vertigo16–140.0313%18 Jun →
nuke16–140.0716%18 Jun →
train5–16-0.048%18 Jun →
cache3–16-0.0320%18 Jun →
inferno16–12-0.0211%18 Jun →
inferno6–16-0.0617%4 Jun →
ancient16–30.1015%4 Jun →
dust22–16-0.0828%4 Jun →
inferno16–13-0.0014%21 May →
dust214–16-0.0116%21 May →
inferno9–10.0014%17 May →
mirage9–160.0419%17 May →
inferno16–80.1214%17 May →
nuke11–160.0716%23 Apr →
inferno16–70.0517%23 Apr →
nuke16–80.079%19 Apr →
cache16–20.1217%19 Apr →
train9–10.1917%11 Apr →

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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