huntari960

huntari960 — CS2 Stats

76561199199670508[U:1:1239404780]Steam profile ↗✓ No bans

789Tracked matches48%Win rate2025Tracked since
853Hours in CS4Hrs last 2 wks
CSDB Rating4.0 DevelopingSupport
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (32 days ago). Ranks are recorded once per day this page is viewed.

+9Tracked matches · now 789
−3.4ppWin rate · 51.7% → 48.3%

Rating over time

Premier CS Rating: 15,762 +178 13 Aug – 4 Oct · 15 days played
15,58418,012peak 18,01213 Aug4 Oct
18,260Peak Premier in tracked matches
26Days played since 2026-08-13

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
Matches926−17
Win rate44%42%+2pp
K/D0.560.76−0.20
Headshot %32%44%−12pp

Measured 4 Oct 2026 → 5 Nov 2026; previous 7 Sep 2026 → 4 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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate40.5%44.8%45.7%5.2% short
Shot accuracy0.0%12.4%12.7%12.7% short
Kill/death ratio0.841.031.050.21 short
Match win rate49.0%45.2%45.7%above

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGhuntari960FACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim33
Positioning49
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWLLLLLWWWW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +5.5pp headshot accuracy · −67ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 20%
  • Avg reaction 600ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 580ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 613ms

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: Support — Utility contribution stands above the rest of this profile (+2.2 against its own average).

Aim3.3
Utility5.6
Positioning4.9
Opening Duels0.6
Clutch2.6

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

iM

Plays most like iM 63% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 53% on T to 25% on CT — first contacts on the defending side are being lost.

Reaction time. 597ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.3
Positioning4.9
Utility5.6
Mechanics2.9
Opening Duels2.8
Win Impact4.4

Composite 4.0/10 (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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time603ms+61ms
first ⅓ avg 542ms → last ⅓ avg 603ms
Headshot accuracy15.6%+2.6%
first ⅓ avg 13.0% → last ⅓ avg 15.6%

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

0.10Best match rating · 13–3 · inferno, 28 Sept →
50%Best headshot accuracy · 5–13 · dust2, 30 Oct →
328msFastest reaction time · 13–7 · inferno, 21 Aug →
13–2Biggest win · anubis, 4 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 61% over 18mirageWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA2615–1158%-0.02
ancientA1811–761%-0.03
cacheC176–1135%-0.03
nukeB147–750%-0.02
dust2C104–640%-0.02
mirageD50–50%-0.04
anubisA53–260%-0.01
train—32–167%-0.00
overpass—21–150%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,856Lifetime kills
0.84K/D
1,098Matches
49.0%Match win rate · Top 25% of Level 6 players
40.5%Headshot %
0.0%Shot accuracy
1,960MVPs
459Hours (in match)
2,000Bombs planted
308Bombs defused

Most-used weapons

AK-473,171
MP91,627
MAC-101,164
AWP479
HE Grenade325

Lifetime map wins

2,343inferno
1,700nuke
1,351dust2
399train
92vertigo
15office
14cbble
13italy

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

Faceit stats

Combat

224Matches
51%Win rate
0.86Avg K/D
68.9ADR
40%Headshot %

Clutches & streaks

33%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient5747%0.8412.8
Inferno4250%0.7712.3
Nuke3256%0.9313.4
Mirage2948%0.8112.2
Cache2050%0.8313.3
Dust21771%0.8212.4
Overpass1753%1.2216.3
Anubis850%0.8214.5

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.

15.4%Headshot accuracy
29.6%Accuracy (enemy spotted)
36.1%Spray accuracy
62.9%Counter-strafing
13.0°Preaim
597msReaction time
52.6%T opening success
25.3%CT opening success
0.58Enemies flashed / flash
3.3%Flash assists
9.37HE damage / grenade
10.60Flashes / 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 13.0215° — above the 12° mark we flag

    Aim Training →
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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–3-0.0710%30 Oct →
dust25–13-0.0550%30 Oct →
mirage1–13-0.060%30 Oct →
mirage2–13-0.0927%30 Oct →
nuke3–13-0.1012%30 Oct →
dust27–13-0.0627%30 Oct →
inferno13–8-0.0219%28 Oct →
train13–100.0823%8 Oct →
inferno13–8-0.0113%8 Oct →
dust213–8-0.0313%2 Oct →
mirage7–13-0.0616%2 Oct →
cache11–13-0.0611%2 Oct →
nuke4–13-0.069%28 Sept →
inferno13–30.1017%28 Sept →
ancient13–50.0315%28 Sept →
overpass9–13-0.0314%17 Sept →
inferno13–10-0.0416%17 Sept →
nuke4–13-0.0311%17 Sept →
inferno13–60.0318%12 Sept →
cache12–12-0.029%12 Sept →
train13–6-0.0616%12 Sept →
dust211–13-0.0516%11 Sept →
inferno13–10-0.0113%11 Sept →
dust22–13-0.0120%11 Sept →
cache6–130.019%9 Sept →
anubis19–17-0.0511%8 Sept →
anubis10–13-0.0316%5 Sept →
anubis13–2-0.0014%4 Sept →
mirage5–13-0.019%4 Sept →
ancient16–14-0.0313%4 Sept →
dust29–13-0.0216%3 Sept →
inferno16–14-0.0017%2 Sept →
cache11–13-0.0414%1 Sept →
cache7–13-0.0514%31 Aug →
ancient13–70.0216%31 Aug →
inferno11–13-0.019%31 Aug →
inferno13–11-0.0416%31 Aug →
inferno13–7-0.0014%26 Aug →
ancient13–9-0.019%26 Aug →
inferno6–13-0.0810%26 Aug →
inferno6–13-0.0314%26 Aug →
cache12–16-0.0610%26 Aug →
cache5–13-0.0517%24 Aug →
nuke8–13-0.0214%24 Aug →
cache16–12-0.0213%24 Aug →
cache9–13-0.089%24 Aug →
nuke13–11-0.0410%24 Aug →
inferno13–70.0210%24 Aug →
ancient7–13-0.074%24 Aug →
inferno13–110.0117%24 Aug →
cache13–90.0212%23 Aug →
train10–13-0.025%23 Aug →
inferno13–7-0.0512%23 Aug →
dust29–13-0.0119%23 Aug →
ancient9–13-0.0616%23 Aug →
inferno11–13-0.0210%23 Aug →
nuke13–20.0613%22 Aug →
nuke14–16-0.0610%22 Aug →
overpass13–40.025%22 Aug →
cache6–13-0.0712%22 Aug →
inferno9–13-0.0313%22 Aug →
dust213–40.036%22 Aug →
dust213–100.0010%22 Aug →
nuke13–8-0.0111%22 Aug →
ancient13–11-0.0023%22 Aug →
ancient10–13-0.0910%22 Aug →
inferno1–13-0.059%22 Aug →
ancient13–20.0110%22 Aug →
inferno15–15-0.0513%22 Aug →
ancient6–13-0.0612%21 Aug →
cache8–20.0522%21 Aug →
inferno13–7-0.045%21 Aug →
ancient16–13-0.0215%21 Aug →
mirage3–130.0113%21 Aug →
cache2–13-0.0619%21 Aug →
dust213–110.0218%21 Aug →
nuke13–40.0312%21 Aug →
inferno13–7-0.0413%21 Aug →
anubis13–100.0511%21 Aug →
ancient8–130.0121%21 Aug →
nuke6–13-0.047%21 Aug →
inferno8–13-0.0110%21 Aug →
ancient13–70.047%21 Aug →
nuke13–70.0221%20 Aug →
cache13–100.0418%20 Aug →
anubis11–13-0.0212%20 Aug →
cache13–5-0.0317%20 Aug →
nuke15–150.0113%20 Aug →
ancient10–13-0.039%20 Aug →
cache15–15-0.0517%20 Aug →
nuke13–11-0.0017%19 Aug →
ancient13–8-0.078%19 Aug →
ancient13–7-0.067%19 Aug →
inferno22–200.0016%19 Aug →
ancient13–7-0.0216%19 Aug →
inferno8–13-0.0414%18 Aug →
ancient2–13-0.0814%18 Aug →
inferno5–13-0.0312%18 Aug →
inferno10–13-0.109%16 Aug →
cache13–9-0.052%13 Aug →

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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