Harloh

Harloh — CS2 Stats

US76561198022082256[U:1:61816528]Steam profile ↗✓ No bans

1,381Tracked matches59%Win rate2020Tracked since
CSDB Rating5.8 SolidClutch Specialist
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,381 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,569 +3,570 24 Jun – 27 Jun · 3 days played
14,99918,569peak 18,56924 Jun27 Jun
18,569Peak Premier in tracked matches
29Days played since 2026-06-13

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

Share this profile

CSDB.GGHarlohFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim50
Positioning60
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY47–44–9Last 10047%Win rateWWWLTWWLLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +6.4pp headshot accuracy · +83ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 699ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 728ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 686ms

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 (+2.5 against its own average).

Aim5.0
Utility5.6
Positioning6.0
Opening Duels3.8
Clutch8.4

Reliable in 1v1s

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 72% 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 60% on T to 44% on CT — first contacts on the defending side are being lost.

Reaction time. 679ms 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

Aim5.0
Positioning6.0
Utility5.6
Mechanics6.3
Opening Duels5.4
Win Impact8.1

Composite 5.8/10 (Solid), 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-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time680ms−29ms
first ⅓ avg 708ms → last ⅓ avg 680ms
Headshot accuracy17.3%−0.8%
first ⅓ avg 18.1% → last ⅓ avg 17.3%

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

0.14Best match rating · 13–7 · inferno, 27 Jun →
38%Best headshot accuracy · 4–13 · cache, 13 Aug →
453msFastest reaction time · 2–10 · inferno, 5 Sept →
13–0Biggest win · train, 12 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
7–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

overpassBest map · 70% over 10ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
cacheC229–1341%-0.01
mirageA127–558%0.01
infernoC114–736%0.00
ancientD113–827%-0.02
overpassS107–370%0.01
anubisC104–640%0.00
nukeB105–550%0.01
vertigoA53–260%-0.00
train—32–167%0.02
shelter—21–150%0.03
boulder—10–10%-0.04
fachwerk—11–0100%-0.02
dust2—10–10%-0.04
warden—11–0100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

117Matches
46%Win rate
1.08Avg K/D
74.0ADR
39%Headshot %

Clutches & streaks

62%1v1 clutch win
14%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage933%1.0614.8
Inferno667%1.0716.2
Ancient475%1.0212.8
Nuke30%0.8813.7
Overpass367%1.5217.3
Vertigo333%1.0424.0
Cache20%0.539.0
Dust2250%0.8415.5

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.

17.5%Headshot accuracy
34.3%Accuracy (enemy spotted)
35.4%Spray accuracy
78.2%Counter-strafing
12.3°Preaim
679msReaction time
59.8%T opening success
43.8%CT opening success
0.58Enemies flashed / flash
9.4%Flash assists
13.38HE damage / grenade
7.92Flashes / 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 12.3083° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Ancient

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–110.0215%5 Oct →
overpass13–10.0926%5 Oct →
mirage13–110.0219%4 Oct →
inferno8–130.0327%4 Oct →
cache12–12-0.0217%4 Oct →
overpass13–30.036%4 Oct →
anubis13–8-0.0028%4 Oct →
ancient8–13-0.0724%3 Oct →
inferno1–13-0.0424%26 Sept →
mirage13–100.1021%26 Sept →
overpass13–11-0.0211%25 Sept →
anubis11–13-0.0121%25 Sept →
cache13–4-0.0021%25 Sept →
ancient10–130.0116%25 Sept →
ancient10–13-0.0118%24 Sept →
mirage5–13-0.0720%24 Sept →
anubis10–130.0411%24 Sept →
vertigo13–50.0414%20 Sept →
overpass12–12-0.033%20 Sept →
ancient5–13-0.038%20 Sept →
cache13–10.0422%20 Sept →
cache13–11-0.0520%17 Sept →
cache10–13-0.1020%17 Sept →
vertigo12–12-0.0921%17 Sept →
mirage13–50.1118%17 Sept →
anubis13–11-0.0615%14 Sept →
overpass13–30.0912%14 Sept →
mirage13–2-0.0213%14 Sept →
cache8–13-0.0621%14 Sept →
inferno13–30.0218%14 Sept →
nuke9–130.0012%6 Sept →
cache7–13-0.0010%6 Sept →
ancient8–13-0.0020%5 Sept →
anubis13–90.0119%5 Sept →
inferno2–10-0.074%5 Sept →
overpass13–7-0.0020%5 Sept →
inferno2–13-0.0319%30 Aug →
overpass10–13-0.0119%30 Aug →
nuke12–120.0114%29 Aug →
vertigo1–13-0.0027%29 Aug →
vertigo13–40.0324%29 Aug →
cache13–9-0.044%29 Aug →
cache13–3-0.0212%29 Aug →
nuke13–5-0.0116%29 Aug →
anubis5–13-0.038%29 Aug →
overpass13–2-0.040%18 Aug →
train13–100.0113%18 Aug →
cache3–13-0.0713%18 Aug →
mirage13–110.0522%13 Aug →
cache4–130.0238%13 Aug →
overpass9–13-0.0118%12 Aug →
anubis7–13-0.0123%12 Aug →
cache5–13-0.075%12 Aug →
nuke9–130.0719%12 Aug →
train13–00.028%12 Aug →
mirage7–13-0.0714%3 Aug →
ancient11–13-0.0015%3 Aug →
cache13–30.0419%3 Aug →
cache13–7-0.0611%28 Jul →
anubis8–130.0912%28 Jul →
cache13–70.0424%21 Jul →
boulder12–12-0.0413%21 Jul →
shelter13–70.0430%21 Jul →
ancient11–130.0021%15 Jul →
mirage4–13-0.069%15 Jul →
inferno4–130.0216%15 Jul →
fachwerk13–10-0.0210%12 Jul →
shelter6–130.0116%12 Jul →
mirage5–130.0726%3 Jul →
cache12–120.0512%3 Jul →
ancient7–13-0.0111%3 Jul →
nuke13–9-0.0222%27 Jun →
inferno11–13-0.0311%27 Jun →
mirage13–30.0115%27 Jun →
nuke13–100.0325%27 Jun →
inferno13–70.1427%27 Jun →
dust29–13-0.0420%27 Jun →
ancient13–110.0018%26 Jun →
anubis13–60.0626%26 Jun →
inferno13–80.0012%26 Jun →
anubis9–13-0.0525%26 Jun →
ancient13–7-0.022%24 Jun →
nuke7–130.0138%24 Jun →
ancient13–9-0.0511%24 Jun →
mirage13–9-0.0421%24 Jun →
nuke13–6-0.0316%24 Jun →
inferno16–12-0.0410%24 Jun →
cache13–70.1314%22 Jun →
warden13–5-0.0117%22 Jun →
cache10–130.0120%22 Jun →
cache12–12-0.0614%19 Jun →
inferno7–130.0215%19 Jun →
nuke12–120.0313%19 Jun →
train10–130.0425%19 Jun →
mirage12–12-0.029%18 Jun →
nuke13–80.0126%18 Jun →
overpass13–5-0.0120%18 Jun →
cache8–130.0316%18 Jun →
cache10–13-0.0321%13 Jun →
cache9–13-0.0323%13 Jun →

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.