ツ The Hunter ツ

ツ The Hunter ツ — CS2 Stats

HU76561199001473432[U:1:1041207704]Steam profile ↗✓ No bans

955Tracked matches50%Win rate2024Tracked since
CSDB Rating4.1 DevelopingClutch Specialist
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 955 tracked matches. Play, then come back: the next observation lands here.

Rating over time

12,213Peak Premier in tracked matches
1,212Highest Faceit ELO seen on CSDB
38Days played since 2025-05-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGツ The Hunter ツFACEITLevel 6STANDINGTop 54.0% of rankedPEAK ELO1,212csdb.gg/stats

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Performance scores

Aim49
Positioning40
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateWLWLWLWLLL

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +0.1pp headshot accuracy · −89ms reaction

Win rate down 30pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 647ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 620ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 664ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.1 against its own average).

Aim4.9
Utility1.8
Positioning4.0
Opening Duels0.9
Clutch5.0

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

donk

Plays most like donk 83% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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.

Reaction time. 666ms 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

Aim4.9
Positioning4.0
Utility1.8
Mechanics6.6
Opening Duels0.8
Win Impact5.0

Composite 4.1/10 (Developing), 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 rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time670ms−46ms
first ⅓ avg 717ms → last ⅓ avg 670ms
Headshot accuracy11.7%+1.8%
first ⅓ avg 9.9% → last ⅓ avg 11.7%

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

0.19Best match rating · 13–1 · ancient, 22 May →
23%Best headshot accuracy · 13–6 · dust2, 19 Jun →
422msFastest reaction time · 8–13 · mirage, 14 Oct →
13–0Biggest win · dust2, 18 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–11In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 61% over 18mirageWeakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
dust2C219–1243%0.00
mirageC218–1338%-0.02
infernoA1811–761%-0.00
ancientB179–853%-0.00
anubisB157–847%0.02
nukeA74–357%-0.02
train—11–0100%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 21). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

360Matches
49%Win rate
0.97Avg K/D
75.0ADR
33%Headshot %

Clutches & streaks

45%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust29451%1.0414.0
Mirage8445%0.9314.8
Inferno6557%0.9714.4
Ancient5351%0.9314.7
Anubis3540%0.9915.6
Nuke1747%0.7613.3
Overpass825%1.0115.3
Train475%1.2317.3

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.

11.3%Headshot accuracy
34.5%Accuracy (enemy spotted)
33.7%Spray accuracy
79.7%Counter-strafing
10.3°Preaim
666msReaction time
26.2%T opening success
36.1%CT opening success
0.52Enemies flashed / flash
3.1%Flash assists
6.91HE damage / grenade
3.35Flashes / 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. 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 11.2929% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.3502 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 26.2052% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0214%1 Jul →
ancient11–13-0.0614%3 Nov →
inferno13–40.019%2 Nov →
ancient10–130.0112%28 Oct →
ancient13–11-0.0110%15 Oct →
mirage8–130.008%14 Oct →
inferno13–11-0.0518%4 Oct →
ancient7–13-0.089%28 Sept →
mirage1–13-0.066%26 Sept →
dust26–130.0518%22 Sept →
mirage11–13-0.0216%14 Sept →
ancient13–9-0.019%11 Sept →
dust210–13-0.078%11 Sept →
inferno13–110.0112%7 Sept →
inferno14–160.019%7 Sept →
mirage13–10-0.068%2 Sept →
mirage16–140.0011%15 Aug →
mirage13–9-0.027%19 Jun →
dust213–60.0323%19 Jun →
ancient13–9-0.0313%19 Jun →
nuke13–80.0513%18 Jun →
inferno8–13-0.045%18 Jun →
anubis13–160.0210%18 Jun →
ancient14–16-0.0611%16 Jun →
inferno13–50.0316%16 Jun →
anubis11–13-0.046%16 Jun →
dust25–13-0.0217%11 Jun →
mirage9–13-0.0810%11 Jun →
anubis13–6-0.028%11 Jun →
ancient13–7-0.0313%11 Jun →
dust213–160.0313%9 Jun →
anubis13–10-0.0318%9 Jun →
inferno13–160.0115%3 Jun →
ancient13–10-0.039%3 Jun →
nuke11–13-0.0511%28 May →
mirage9–13-0.0315%28 May →
inferno13–9-0.0210%28 May →
ancient7–13-0.0213%28 May →
inferno13–11-0.036%25 May →
mirage7–13-0.0311%25 May →
anubis13–100.015%22 May →
ancient13–10.197%22 May →
inferno4–13-0.025%22 May →
mirage13–50.0520%22 May →
inferno13–50.1021%19 May →
mirage11–130.016%18 May →
inferno13–8-0.0213%18 May →
dust28–13-0.0812%18 May →
dust213–00.0323%18 May →
inferno13–50.0910%18 May →
ancient11–130.0613%18 May →
anubis7–130.048%18 May →
inferno2–13-0.095%16 May →
mirage13–90.0214%16 May →
nuke10–13-0.0617%15 May →
mirage16–130.026%14 May →
inferno4–13-0.0614%14 May →
anubis13–100.0711%14 May →
mirage8–130.0112%14 May →
dust213–80.0313%14 May →
mirage13–7-0.017%13 May →
anubis16–120.0111%13 May →
dust213–9-0.0111%13 May →
dust28–13-0.0711%13 May →
anubis13–30.084%12 May →
ancient13–7-0.0012%12 May →
anubis10–130.0319%12 May →
ancient13–9-0.039%10 May →
anubis11–130.128%10 May →
inferno13–60.0513%10 May →
mirage10–13-0.0410%10 May →
dust26–13-0.033%10 May →
dust27–130.028%10 May →
dust213–7-0.0011%9 May →
mirage2–13-0.0510%9 May →
dust24–13-0.046%9 May →
dust26–130.003%9 May →
train13–9-0.0014%9 May →
ancient12–160.038%9 May →
mirage13–7-0.014%8 May →
nuke13–60.0112%8 May →
nuke13–9-0.0710%8 May →
dust213–9-0.0116%8 May →
dust213–30.0819%8 May →
ancient8–130.058%8 May →
nuke14–16-0.079%7 May →
dust24–130.0114%7 May →
dust213–30.158%7 May →
mirage7–13-0.039%7 May →
anubis2–13-0.092%5 May →
dust25–13-0.0422%5 May →
mirage8–13-0.038%5 May →
anubis13–110.055%5 May →
anubis10–13-0.0110%5 May →
inferno13–70.027%4 May →
nuke13–100.049%4 May →
mirage14–16-0.0117%4 May →
ancient16–13-0.057%1 May →
inferno10–13-0.0416%1 May →
anubis9–13-0.0112%1 May →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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