Halbo

Halbo — CS2 Stats

76561198387773984[U:1:427508256]Steam profile ↗✓ No bans

833Tracked matches54%Win rate2020Tracked since
CSDB Rating5.8 SolidPositional Player
Premier CS Rating13,107Blue band · top ~38.4% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (yesterday). 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: 13,107 -4,514 9 Feb – 10 Oct · 10 days played
13,10718,311peak 18,3119 Feb10 Oct
18,917Peak Premier in tracked matches
24Days played since 2025-02-09

Premier CS Rating

  • 5,204 below peak (18,311)
  • Next: Purple band at 15,000 — 1,893 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGHalboFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER13,107 · Blue bandcsdb.gg/stats

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Performance scores

Aim77
Positioning54
Utility53

0–100 skill scores via Leetify.

Recent form

COLD41–51–8Last 10041%Win rateLTLLLWLWLL

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · −2.2pp headshot accuracy · −11ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 589ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 553ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 559ms

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 (+0.9 against its own average).

Aim7.7
Utility5.3
Positioning5.4
Opening Duels3.4
Clutch4.0

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

ZywOo

Plays most like ZywOo 96% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.7
Positioning5.4
Utility5.3
Mechanics6.2
Opening Duels3.8
Win Impact6.2

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg -0.00
Reaction time552ms−108ms
first ⅓ avg 660ms → last ⅓ avg 552ms
Headshot accuracy19.7%−3.3%
first ⅓ avg 23.0% → 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

0.18Best match rating · 9–7 · palais, 13 Feb →
58%Best headshot accuracy · 13–1 · overpass, 18 Feb →
391msFastest reaction time · 13–1 · train, 1 Oct →
13–1Biggest win · train, 1 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 57% over 7anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C207–1335%-0.01
infernoD103–730%0.02
mirageA95–456%-0.01
italyC83–538%0.03
cacheC83–538%0.04
officeC83–538%-0.01
nukeA74–357%0.00
ancientD72–529%0.04
anubisD51–420%-0.03
vertigoD51–420%-0.02
train—43–175%0.04
edin—22–0100%-0.01
overpass—21–150%0.02
basalt—22–0100%0.07
shelter—10–10%-0.04
boulder—10–10%0.01
palais—11–0100%0.18

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

437Matches
53%Win rate
1.21Avg K/D
83.0ADR
42%Headshot %

Clutches & streaks

40%1v1 clutch win
30%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2850%1.3217.3
Mirage475%1.0910.5
Inferno333%1.2119.0
Nuke20%0.8414.5
Ancient20%1.2221.0
Anubis250%1.3415.0

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.

18.5%Headshot accuracy
35.5%Accuracy (enemy spotted)
39.2%Spray accuracy
78.1%Counter-strafing
8.8°Preaim
550msReaction time
49.2%T opening success
41.5%CT opening success
0.49Enemies flashed / flash
5.9%Flash assists
8.40HE damage / grenade
17.63Flashes / 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. 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 0.4911 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust214–160.077%10 Oct →
italy12–120.0313%10 Oct →
mirage1–13-0.065%10 Oct →
dust21–13-0.0824%10 Oct →
cache5–130.0212%10 Oct →
cache16–120.0317%9 Oct →
cache13–160.0414%9 Oct →
nuke13–11-0.0319%9 Oct →
anubis10–13-0.0519%9 Oct →
ancient11–13-0.0433%9 Oct →
mirage6–13-0.0539%9 Oct →
mirage13–70.0422%9 Oct →
mirage8–13-0.0811%8 Oct →
mirage13–80.0126%8 Oct →
cache16–120.0220%8 Oct →
ancient6–130.0313%8 Oct →
dust24–13-0.0810%8 Oct →
dust215–15-0.0510%8 Oct →
inferno13–110.0716%8 Oct →
mirage13–50.0119%8 Oct →
nuke13–100.0128%7 Oct →
anubis13–10-0.104%7 Oct →
nuke13–100.1217%6 Oct →
vertigo13–40.0527%3 Oct →
dust27–130.0628%3 Oct →
inferno13–60.0819%3 Oct →
dust213–11-0.0024%3 Oct →
office13–80.0626%3 Oct →
cache6–130.0014%2 Oct →
italy13–10-0.0227%2 Oct →
dust212–12-0.0519%2 Oct →
office13–9-0.0337%2 Oct →
office3–13-0.0732%1 Oct →
train13–10.0125%1 Oct →
nuke9–13-0.0621%1 Oct →
cache4–130.0628%30 Sept →
anubis7–13-0.0318%30 Sept →
ancient13–100.0719%30 Sept →
nuke7–130.0025%27 Sept →
italy12–120.0515%26 Sept →
office7–13-0.0625%26 Sept →
vertigo1–13-0.0610%26 Sept →
shelter11–13-0.0431%26 Sept →
italy13–70.1223%26 Sept →
dust29–13-0.0735%26 Sept →
office13–110.0328%26 Sept →
cache7–130.0034%26 Sept →
vertigo9–13-0.0121%26 Sept →
italy6–13-0.0533%26 Sept →
cache13–50.1442%20 Sept →
dust27–13-0.0330%17 Sept →
vertigo8–13-0.0637%17 Sept →
nuke6–130.0138%17 Sept →
office8–13-0.0412%17 Sept →
italy12–120.1016%17 Sept →
dust213–7-0.0322%15 Sept →
office8–13-0.0337%15 Sept →
italy13–4-0.0041%15 Sept →
dust213–90.0415%13 Sept →
vertigo2–13-0.0433%13 Sept →
office12–120.0316%13 Sept →
boulder5–130.0121%13 Sept →
ancient7–130.0320%20 Jun →
inferno10–13-0.0614%20 Jun →
dust25–13-0.0819%20 Jun →
inferno10–130.0428%26 Feb →
dust216–120.0417%26 Feb →
inferno3–13-0.076%22 Feb →
ancient13–30.0820%22 Feb →
mirage10–13-0.0529%22 Feb →
mirage13–70.0324%22 Feb →
ancient11–130.0222%22 Feb →
edin13–7-0.0121%18 Feb →
overpass13–10.0458%18 Feb →
dust28–2-0.050%18 Feb →
overpass11–130.0128%18 Feb →
basalt13–30.0833%18 Feb →
dust211–130.0218%18 Feb →
dust29–130.0320%18 Feb →
inferno9–130.0318%18 Feb →
train13–30.0234%18 Feb →
train8–130.0935%16 Feb →
inferno8–13-0.0214%16 Feb →
dust213–100.0421%16 Feb →
anubis8–130.0221%16 Feb →
dust213–110.0325%16 Feb →
dust29–130.0417%16 Feb →
inferno13–20.1028%16 Feb →
nuke13–6-0.0329%15 Feb →
train16–130.0218%15 Feb →
inferno14–16-0.0216%15 Feb →
basalt13–50.0622%13 Feb →
edin13–5-0.0225%13 Feb →
ancient8–130.1327%13 Feb →
dust25–13-0.0319%13 Feb →
inferno8–80.0736%13 Feb →
palais9–70.1819%13 Feb →
italy12–120.0218%10 Feb →
mirage13–100.0410%9 Feb →
anubis10–13-0.0024%9 Feb →

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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