Hunterlor

Hunterlor — CS2 Stats

76561199205214039[U:1:1244948311]Steam profile ↗✓ No bans

256Tracked matches24%Win rate2026Tracked since
558Hours in CS47Hrs last 2 wks
CSDB Rating1.8 LearningPositional Player
Premier CS Rating2,356Grey band · top ~90% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (5 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: 2,356 -1,195 2 Jul – 26 Sept · 10 days played
2,3567,127peak 7,1272 Jul26 Sept
7,236Peak Premier in tracked matches
27Days played since 2026-07-01

Premier CS Rating

  • 4,771 below peak (7,127)
  • -1,195 over 90 days
  • Next: Light Blue band at 5,000 — 2,644 to go
  • Reached: Light Blue band

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
Matches42——
Win rate24%——
K/D0.69——
Headshot %44%——

Measured 5 Sep 2026 → 1 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate43.3%38.2%39.9%above
Shot accuracy0.0%3.6%7.0%7.0% short
Kill/death ratio0.810.830.920.11 short
Match win rate34.7%40.2%42.3%7.6% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGHunterlorPREMIER2,356 · Grey bandcsdb.gg/stats

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Performance scores

Aim15
Positioning33
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY30–61–9Last 10030%Win rateLLLWWWLTTW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +1.4pp headshot accuracy · +60ms reaction

Win rate up 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 788ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 713ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 683ms

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 (+1.7 against its own average).

Aim1.5
Utility3.2
Positioning3.3
Opening Duels0.0
Clutch0.0

Strong CT-side opener

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

NiKo

Plays most like NiKo 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

T-side openings. Opening success drops from 36% on CT to 6% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 650ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim1.5
Positioning3.3
Utility3.2
Mechanics2.3
Opening Duels0.8
Win Impact0.0

Composite 1.8/10 (Learning), 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 rating-0.02−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time664ms−48ms
first ⅓ avg 712ms → last ⅓ avg 664ms
Headshot accuracy15.0%−6.4%
first ⅓ avg 21.4% → last ⅓ avg 15.0%

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

0.11Best match rating · 8–13 · office, 24 Sept →
37%Best headshot accuracy · 12–12 · dust2, 24 Sept →
422msFastest reaction time · 8–13 · office, 24 Sept →
13–3Biggest win · nuke, 24 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
7–14In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 50% over 14officeWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C269–1735%-0.02
nukeD194–1521%-0.01
ancientB147–750%0.00
cacheC114–736%-0.01
infernoD101–910%-0.01
officeD60–60%0.01
mirageC52–340%0.01
vertigo—41–325%-0.04
anubis—41–325%-0.00
boulder—11–0100%-0.01

Across the last 100 tracked matches.

Lifetime stats

7,790Lifetime kills
0.81K/D
554Matches
34.7%Match win rate
43.3%Headshot % · Top 25% of Grey band
0.0%Shot accuracy
1,127MVPs
186Hours (in match)
396Bombs planted
89Bombs defused

Most-used weapons

Lifetime map wins

971dust2
530nuke
463inferno
223vertigo
101office
56train

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

Faceit stats

Combat

2Matches
0%Win rate
0.42Avg K/D
48.9ADR
46%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust210%0.336.0
Ancient10%0.5212.0

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.

14.9%Headshot accuracy
28.0%Accuracy (enemy spotted)
27.4%Spray accuracy
60.2%Counter-strafing
14.9°Preaim
650msReaction time
6.4%T opening success
36.0%CT opening success
0.44Enemies flashed / flash
6.8%Flash assists
4.73HE damage / grenade
8.06Flashes / 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 14.9233° — above the 12° mark we flag

    Aim Training →
  2. 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 14.8689% — below the 15% mark we flag

    Aim Training →
  3. 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 0.4397 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
office11–130.0231%26 Sept →
nuke11–13-0.067%26 Sept →
dust211–13-0.046%26 Sept →
mirage13–60.0013%26 Sept →
boulder13–9-0.0117%26 Sept →
dust213–11-0.0217%26 Sept →
inferno11–130.0517%26 Sept →
office12–12-0.0112%26 Sept →
office12–12-0.0212%26 Sept →
dust213–8-0.035%26 Sept →
nuke4–13-0.080%26 Sept →
office10–13-0.046%25 Sept →
inferno5–9-0.1114%25 Sept →
inferno6–13-0.0212%25 Sept →
nuke4–13-0.078%25 Sept →
dust210–13-0.0813%25 Sept →
vertigo13–80.0531%25 Sept →
inferno2–13-0.030%25 Sept →
office8–130.1119%24 Sept →
nuke6–13-0.0319%24 Sept →
mirage6–130.0416%24 Sept →
nuke13–3-0.0218%24 Sept →
dust212–12-0.0437%24 Sept →
ancient4–13-0.0519%24 Sept →
dust28–13-0.129%24 Sept →
nuke11–130.0621%24 Sept →
office12–120.018%23 Sept →
vertigo10–13-0.0515%23 Sept →
vertigo12–12-0.0812%23 Sept →
vertigo3–13-0.0910%23 Sept →
inferno11–13-0.0920%19 Sept →
anubis10–50.1031%18 Sept →
ancient14–160.0122%11 Aug →
dust25–50.0133%11 Aug →
mirage3–13-0.0317%31 Jul →
dust26–13-0.0233%31 Jul →
nuke5–13-0.038%31 Jul →
dust26–130.0412%26 Jul →
dust24–13-0.0419%24 Jul →
ancient13–80.0215%24 Jul →
inferno5–130.0420%24 Jul →
dust29–130.0219%23 Jul →
ancient13–3-0.0225%23 Jul →
cache13–9-0.0013%23 Jul →
nuke13–100.1028%22 Jul →
ancient13–70.1129%21 Jul →
ancient13–40.0513%21 Jul →
nuke6–13-0.0127%21 Jul →
dust213–3-0.0318%21 Jul →
dust25–13-0.0217%21 Jul →
nuke7–130.0111%20 Jul →
nuke3–13-0.0317%19 Jul →
dust213–11-0.059%18 Jul →
ancient3–13-0.1119%18 Jul →
cache13–40.0123%18 Jul →
dust26–13-0.048%18 Jul →
dust28–130.0223%18 Jul →
ancient7–130.0014%18 Jul →
nuke9–13-0.037%18 Jul →
inferno13–40.0726%17 Jul →
ancient13–50.0124%17 Jul →
dust25–13-0.0715%17 Jul →
ancient13–7-0.0429%17 Jul →
nuke7–13-0.0813%17 Jul →
ancient16–140.0222%17 Jul →
cache14–16-0.0115%16 Jul →
dust216–130.1018%16 Jul →
mirage7–13-0.0710%16 Jul →
cache13–30.0219%16 Jul →
mirage16–140.0817%14 Jul →
ancient11–130.0921%11 Jul →
nuke12–12-0.0124%8 Jul →
anubis10–13-0.0326%8 Jul →
dust27–13-0.0027%8 Jul →
dust211–20.0633%8 Jul →
dust25–13-0.0236%7 Jul →
nuke7–13-0.095%6 Jul →
cache11–130.0323%6 Jul →
anubis5–13-0.0627%6 Jul →
cache2–13-0.0733%6 Jul →
inferno12–12-0.0117%4 Jul →
inferno2–8-0.0533%4 Jul →
inferno9–130.0121%3 Jul →
cache11–13-0.0121%3 Jul →
cache7–13-0.0118%3 Jul →
ancient11–13-0.0517%3 Jul →
dust26–13-0.0513%3 Jul →
dust212–12-0.0612%3 Jul →
nuke10–130.0723%3 Jul →
anubis11–13-0.0127%3 Jul →
nuke8–80.0731%3 Jul →
nuke16–120.0119%2 Jul →
ancient4–130.0215%2 Jul →
nuke13–90.0121%2 Jul →
dust216–140.0117%2 Jul →
dust213–110.0018%2 Jul →
cache11–13-0.0527%2 Jul →
cache13–8-0.0015%1 Jul →
cache8–13-0.0325%1 Jul →
dust26–130.0218%1 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.