Hellen Wong Fanboy

Hellen Wong Fanboy — CS2 Stats

BS76561198826426501[U:1:866160773]Steam profile ↗✓ No bans

1,225Tracked matches47%Win rate2022Tracked since
2,945Hours in CS52Hrs last 2 wks
CSDB Rating6.8 SolidSupport
Premier CS Rating28,718Red band · top ~1.2% of ranked players (population est.)
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGHellen Wong FanboyFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER28,718 · Red bandcsdb.gg/stats

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Performance scores

Aim87
Positioning55
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateLLLWWLWWLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −3.7pp headshot accuracy · −53ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 434ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 434ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 460ms

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 (+1.6 against its own average).

Aim8.7
Utility6.0
Positioning5.5
Opening Duels2.6
Clutch3.4

Sharp aimerStrong 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 95% playstyle similarity

Most alike: positioning profile, 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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Aim8.7
Positioning5.5
Utility6.0
Mechanics7.0
Opening Duels3.9
Win Impact3.9

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time457ms+24ms
first ⅓ avg 433ms → last ⅓ avg 457ms
Headshot accuracy19.1%−0.4%
first ⅓ avg 19.5% → last ⅓ avg 19.1%

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 · 13–9 · inferno, 8 Sept →
100%Best headshot accuracy · 0–4 · inferno, 21 Oct →
313msFastest reaction time · 3–13 · anubis, 4 Oct →
13–3Biggest win · dust2, 12 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
9–12In matches decided by ≤2 rounds
15Overtime games

Map breakdown

cacheBest map · 80% over 10mirageWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B3014–1647%-0.00
ancientB158–753%0.00
anubisB126–650%-0.01
nukeB115–645%-0.02
infernoS118–373%0.02
mirageD112–918%-0.00
cacheS108–280%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (18% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,117Lifetime kills
1.11K/D
3,419Matches
50.1%Match win rate
50.8%Headshot %
12.6%Shot accuracy
10,512MVPs
1,646Hours (in match)
5,410Bombs planted
1,310Bombs defused

Most-used weapons

AK-4726,281
AWP5,862
MP92,385
Knife1,377
SSG 081,289
MAC-101,278

Lifetime map wins

10,461dust2
3,599cbble
3,005inferno
1,581nuke
711train
435office
331vertigo
18lake

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

Faceit stats

Combat

852Matches
53%Win rate
1.15Avg K/D
80.9ADR
45%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust219855%1.2016.5
Anubis10347%1.0415.5
Ancient5949%1.0915.7
Inferno5859%1.0415.2
Cache5358%1.1615.9
Mirage5242%1.1415.4
Nuke4852%1.1816.8
Vertigo425%0.9815.3

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.

17.2%Headshot accuracy
34.7%Accuracy (enemy spotted)
45.1%Spray accuracy
81.7%Counter-strafing
8.5°Preaim
452msReaction time
41.9%T opening success
49.2%CT opening success
0.55Enemies flashed / flash
6.7%Flash assists
9.14HE damage / grenade
11.66Flashes / match

Recommended for you

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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis4–13-0.0216%15 Nov →
ancient3–13-0.0610%15 Nov →
anubis9–13-0.065%15 Nov →
ancient13–80.0220%15 Nov →
cache13–8-0.0010%14 Nov →
nuke10–13-0.0223%11 Nov →
ancient13–60.0216%9 Nov →
ancient13–7-0.0313%8 Nov →
anubis12–16-0.0719%7 Nov →
dust213–11-0.0212%4 Nov →
dust29–13-0.0227%31 Oct →
dust23–13-0.0616%31 Oct →
anubis13–9-0.017%29 Oct →
anubis13–8-0.0210%29 Oct →
cache13–11-0.0133%27 Oct →
inferno13–50.0216%27 Oct →
mirage6–130.0815%26 Oct →
cache13–8-0.0324%26 Oct →
dust23–13-0.069%24 Oct →
dust213–110.0123%24 Oct →
cache16–140.0221%23 Oct →
dust213–80.0415%23 Oct →
dust212–16-0.025%22 Oct →
ancient11–13-0.094%21 Oct →
cache13–70.0230%21 Oct →
mirage7–13-0.0229%21 Oct →
inferno0–40.03100%21 Oct →
dust211–13-0.0515%21 Oct →
ancient11–130.0118%19 Oct →
nuke4–13-0.0621%18 Oct →
inferno13–10-0.0112%17 Oct →
dust211–13-0.0120%17 Oct →
mirage10–130.0218%17 Oct →
dust216–130.0615%16 Oct →
nuke13–90.0416%16 Oct →
dust28–13-0.0314%16 Oct →
cache13–110.0618%16 Oct →
dust213–9-0.0611%15 Oct →
anubis13–90.0517%14 Oct →
nuke11–13-0.0514%13 Oct →
cache11–130.0223%11 Oct →
inferno13–60.044%11 Oct →
dust213–50.0314%10 Oct →
nuke16–130.0320%6 Oct →
anubis10–130.0325%6 Oct →
anubis19–170.0215%6 Oct →
dust211–13-0.0213%5 Oct →
anubis3–13-0.0515%4 Oct →
nuke4–13-0.0612%28 Sept →
cache2–13-0.0522%27 Sept →
ancient4–13-0.154%23 Sept →
cache13–80.0515%22 Sept →
ancient11–130.0614%22 Sept →
inferno13–5-0.0215%21 Sept →
ancient10–13-0.028%21 Sept →
dust210–13-0.0124%21 Sept →
dust213–60.006%20 Sept →
dust25–130.0021%20 Sept →
dust27–130.0230%20 Sept →
anubis22–190.0021%20 Sept →
ancient13–50.0714%20 Sept →
ancient13–40.0629%19 Sept →
dust211–13-0.0515%18 Sept →
inferno13–4-0.016%17 Sept →
nuke13–6-0.0315%17 Sept →
dust213–70.0616%16 Sept →
dust216–13-0.0016%16 Sept →
cache19–170.0321%15 Sept →
ancient13–110.0613%13 Sept →
nuke13–80.0314%13 Sept →
ancient13–100.0724%11 Sept →
mirage7–13-0.0024%10 Sept →
inferno13–90.1032%8 Sept →
dust21–13-0.0411%4 Sept →
dust214–160.0019%25 Aug →
ancient5–130.0215%25 Aug →
mirage13–7-0.0610%21 Aug →
mirage5–13-0.068%20 Aug →
mirage6–13-0.0128%20 Aug →
mirage11–130.0222%19 Aug →
dust213–80.0928%19 Aug →
dust26–13-0.053%19 Aug →
inferno7–13-0.0131%19 Aug →
mirage14–16-0.0014%19 Aug →
nuke12–16-0.1010%18 Aug →
dust213–40.0918%15 Aug →
inferno13–50.0820%14 Aug →
mirage13–9-0.0123%14 Aug →
ancient13–60.0211%13 Aug →
anubis6–13-0.098%13 Aug →
dust213–70.0131%13 Aug →
mirage9–130.0316%12 Aug →
nuke6–13-0.0239%12 Aug →
nuke16–13-0.0227%12 Aug →
dust213–30.0018%12 Aug →
inferno16–140.0222%11 Aug →
dust27–13-0.0732%11 Aug →
dust213–80.0321%10 Aug →
inferno12–16-0.0113%8 Aug →
anubis13–40.0418%7 Aug →

Match data via Leetify.

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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