Halolong

Halolong — CS2 Stats

CW76561198077241727[U:1:116975999]Steam profile ↗VAC banned

2,098Tracked matches52%Win rate2020Tracked since
3,841Hours in CS4Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
Premier CS Rating20,620Top 50% of 215,386 CSDB-tracked playersPink band · top ~7.8% of ranked players (population est.)
CSDB Leaderboard#75618 of 261580 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (24 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: 20,620 -682 6 Sept – 21 Oct · 4 days played
20,62021,302peak 21,3026 Sept21 Oct
21,302Peak Premier in tracked matches
30Days played since 2026-05-28

Premier CS Rating

  • 682 below peak (21,302)
  • -682 over 30 days · declining
  • Next: Red band at 25,000 — 4,380 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-06
  • Purple band first seen 2026-09-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate38.1%46.9%49.3%11.2% short
Shot accuracy12.1%13.0%13.4%1.3% short
Kill/death ratio1.131.081.12meets
Match win rate45.4%46.7%48.5%3.1% short

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

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

Share this profile

CSDB.GGHalolongPREMIER20,620 · Pink bandcsdb.gg/stats

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Performance scores

Aim54
Positioning70
Utility51

0–100 skill scores via Leetify.

Recent form

COLD39–47–14Last 10039%Win rateWWLTTTLLWL

Last 10 vs previous 10: −40pp win rate · −0.00 avg rating · +5.4pp headshot accuracy · −6ms reaction

Win rate down 40pp 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

  • 2–1–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 506ms

Last 10

  • 3–4–3 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 535ms

Last 20

  • 10–6–4 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 537ms

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 (+2.3 against its own average).

Aim5.4
Utility5.1
Positioning7.0
Opening Duels3.9
Clutch2.6

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

jL

Plays most like jL 73% 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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 559ms 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

Aim5.4
Positioning7.0
Utility5.1
Mechanics6.4
Opening Duels6.3
Win Impact5.7

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time560ms−20ms
first ⅓ avg 580ms → last ⅓ avg 560ms
Headshot accuracy17.0%−1.4%
first ⅓ avg 18.4% → last ⅓ avg 17.0%

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

0.13Best match rating · 13–5 · mirage, 30 May →
46%Best headshot accuracy · 4–13 · dust2, 1 Jul →
406msFastest reaction time · 13–9 · dust2, 2 Sept →
13–2Biggest win · dust2, 20 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
10–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 60% over 5nukeWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B3317–1652%0.01
mirageD154–1127%0.01
cacheC146–843%-0.00
nukeD81–713%0.01
infernoD82–625%0.02
anubisA53–260%0.02
ancientD51–420%-0.04
vertigo—42–250%0.00
train—42–250%0.02
overpass—31–233%-0.00
office—10–10%-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

122,668Lifetime kills
1.13K/D · Top 50% of Pink band
5,859Matches
45.4%Match win rate
38.1%Headshot %
12.1%Shot accuracy
14,822MVPs
2,364Hours (in match)
5,660Bombs planted
1,412Bombs defused

Most-used weapons

Lifetime map wins

34,852dust2
3,335inferno
2,254nuke
1,680vertigo
1,008train
748office
247cbble
241italy

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

Faceit stats

Combat

13Matches
77%Win rate
1.14Avg K/D
96.0ADR
40%Headshot %

Clutches & streaks

33%1v1 clutch win
100%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2100%1.0616.0
Nuke1100%1.5420.0

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.

16.9%Headshot accuracy
29.4%Accuracy (enemy spotted)
27.1%Spray accuracy
78.6%Counter-strafing
9.9°Preaim
559msReaction time
61.0%T opening success
49.7%CT opening success
0.67Enemies flashed / flash
5.8%Flash assists
10.83HE damage / grenade
4.56Flashes / match

Recommended for you

Spend your practice time on Nuke

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–40.006%13 Nov →
anubis13–9-0.0117%13 Nov →
ancient7–13-0.0416%13 Nov →
dust212–120.0730%13 Nov →
cache12–120.0114%13 Nov →
mirage12–12-0.0312%13 Nov →
nuke10–130.0625%29 Oct →
mirage7–130.0918%29 Oct →
dust213–60.0119%21 Oct →
mirage5–13-0.086%21 Oct →
dust216–140.0115%19 Oct →
cache13–100.0317%19 Oct →
cache13–9-0.026%19 Oct →
mirage3–13-0.094%19 Oct →
inferno13–30.0611%19 Oct →
mirage6–13-0.0412%19 Oct →
nuke12–120.0611%17 Oct →
ancient16–14-0.028%17 Oct →
dust213–90.0712%17 Oct →
dust213–90.0112%17 Oct →
cache13–110.0217%17 Oct →
dust213–5-0.0240%13 Oct →
mirage6–130.1024%12 Oct →
cache16–140.0921%12 Oct →
dust24–130.0615%12 Oct →
dust27–13-0.0627%8 Oct →
overpass12–12-0.0728%12 Sept →
dust210–13-0.0417%12 Sept →
cache2–13-0.0619%12 Sept →
inferno1–130.0433%12 Sept →
dust213–30.0522%12 Sept →
dust27–130.0310%2 Sept →
dust213–9-0.0217%2 Sept →
cache10–130.0217%2 Sept →
mirage12–12-0.0213%2 Sept →
nuke8–13-0.0314%2 Sept →
vertigo7–13-0.0216%2 Sept →
anubis13–110.0214%2 Sept →
dust28–13-0.0530%28 Aug →
mirage13–40.0318%28 Aug →
dust28–13-0.0423%27 Aug →
cache4–13-0.0736%27 Aug →
nuke11–13-0.0017%27 Aug →
mirage9–13-0.0215%27 Aug →
ancient6–13-0.0429%27 Aug →
inferno4–130.0116%27 Aug →
vertigo13–110.0623%27 Aug →
inferno7–13-0.0110%14 Aug →
dust213–90.0722%14 Aug →
mirage4–13-0.0310%14 Aug →
cache13–5-0.077%14 Aug →
anubis4–130.0621%14 Aug →
cache13–9-0.029%28 Jul →
anubis2–13-0.0524%28 Jul →
nuke11–13-0.0523%28 Jul →
train4–13-0.0633%28 Jul →
dust211–130.0220%28 Jul →
mirage12–12-0.047%27 Jul →
dust210–13-0.0114%27 Jul →
dust213–20.118%20 Jul →
dust27–13-0.0310%20 Jul →
train10–130.0315%20 Jul →
inferno7–13-0.0519%20 Jul →
office8–13-0.0714%8 Jul →
vertigo12–12-0.0110%8 Jul →
dust212–120.0320%8 Jul →
anubis13–110.0816%8 Jul →
cache3–13-0.0218%8 Jul →
dust213–8-0.078%7 Jul →
inferno6–130.0115%7 Jul →
ancient6–13-0.0212%7 Jul →
vertigo13–110.0024%3 Jul →
inferno13–50.0123%3 Jul →
overpass13–100.0215%1 Jul →
dust24–13-0.0246%1 Jul →
cache6–130.0312%1 Jul →
cache11–13-0.0515%30 Jun →
dust213–100.0718%22 Jun →
mirage13–90.0113%22 Jun →
dust213–110.0924%17 Jun →
dust211–130.0018%17 Jun →
overpass11–130.0516%17 Jun →
dust213–60.0514%14 Jun →
mirage13–50.0821%14 Jun →
train7–40.0513%14 Jun →
ancient12–12-0.0716%5 Jun →
nuke8–130.0217%5 Jun →
dust213–5-0.0411%5 Jun →
mirage12–120.0420%5 Jun →
dust24–13-0.0326%5 Jun →
nuke7–13-0.0221%3 Jun →
dust27–130.0118%3 Jun →
cache12–120.0914%3 Jun →
nuke12–60.0821%31 May →
dust212–120.0221%31 May →
dust213–60.0823%31 May →
train13–110.0716%31 May →
mirage13–50.1321%30 May →
dust213–20.0111%29 May →
inferno12–120.0925%28 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 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.