Helen Keller, CPA

Helen Keller, CPA — CS2 Stats

CD76561198124163170[U:1:163897442]Steam profile ↗✓ No bans

1,523Tracked matches32%Win rate2020Tracked since
4,171Hours in CS8Hrs last 2 wks
CSDB Rating5.5 SolidSupport
Premier CS Rating22,267Top 50% of 215,248 CSDB-tracked playersPink band · top ~6% of ranked players (population est.)
CSDB Leaderboard#53660 of 261427 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (4 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: 22,267 -920 22 Aug – 9 Nov · 28 days played
22,26725,691peak 25,69122 Aug9 Nov
25,691Peak Premier in tracked matches
23Days played since 2026-08-22

Premier CS Rating

  • 3,424 below peak (25,691)
  • -295 over 30 days · steady
  • -920 over 90 days
  • Next: Red band at 25,000 — 2,733 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-04
  • Pink band first seen 2026-08-28

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 Level 10 among CSDB-tracked players (n=30,986), 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 playerLevel 10 median
Headshot rate31.0%50.9%
Shot accuracy19.1%13.7%
Kill/death ratio1.171.09
Match win rate49.5%48.4%

Share this profile

CSDB.GGHelen Keller, CPAFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER22,267 · Pink bandcsdb.gg/stats

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Performance scores

Aim61
Positioning64
Utility74

0–100 skill scores via Leetify.

Recent form

COLD46–47–7Last 10046%Win rateLLLWTWTWLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −8.4pp headshot accuracy · +40ms reaction

Win rate down 20pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 642ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 641ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 622ms

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 (+2.7 against its own average).

Aim6.1
Utility7.4
Positioning6.4
Opening Duels3.0
Clutch2.2

Effective flashes

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

Twistzz

Plays most like Twistzz 69% 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

Strengths

Flashes. 0.81 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 627ms 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

Aim6.1
Positioning6.4
Utility7.4
Mechanics5.3
Opening Duels4.2
Win Impact0.0

Composite 5.5/10 (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+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time619ms+18ms
first ⅓ avg 601ms → last ⅓ avg 619ms
Headshot accuracy16.2%−0.5%
first ⅓ avg 16.8% → last ⅓ avg 16.2%

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 · anubis, 26 Oct →
42%Best headshot accuracy · 10–13 · dust2, 25 Oct →
453msFastest reaction time · 5–13 · cache, 15 Oct →
13–3Biggest win · inferno, 25 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
10–5In matches decided by ≤2 rounds
19Overtime games

Map breakdown

mirageBest map · 64% over 14dust2Weakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
nukeC219–1243%0.00
cacheB189–950%0.00
infernoB158–753%0.01
mirageA149–564%0.03
anubisD134–931%0.02
dust2D113–827%0.00
ancientB84–450%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

187,845Lifetime kills
1.17K/D · Top 50% of Level 10 players
6,047Matches
49.5%Match win rate · Top 50% of Level 10 players
31.0%Headshot %
19.1%Shot accuracy · Top 10% of Level 10 players
18,689MVPs
2,664Hours (in match)
5,154Bombs planted
2,628Bombs defused

Most-used weapons

AK-4776,032
AWP21,790
P2507,137
AUG2,704
UMP-452,602
MAC-102,578

Lifetime map wins

9,682dust2
7,975inferno
7,057nuke
4,786train
2,686cbble
1,152vertigo
211lake
102office

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

Faceit stats

Combat

610Matches
55%Win rate
1.21Avg K/D
79.6ADR
38%Headshot %

Clutches & streaks

31%1v1 clutch win
33%1v2 clutch win
14Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage743%1.1516.6
Anubis450%0.7510.8
Dust2450%0.8716.5
Nuke450%1.0920.5
Ancient2100%1.4419.0
Train1100%1.0716.0
Inferno10%0.8223.0

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.

17.1%Headshot accuracy
35.2%Accuracy (enemy spotted)
37.2%Spray accuracy
73.7%Counter-strafing
9.9°Preaim
627msReaction time
49.8%T opening success
44.0%CT opening success
0.81Enemies flashed / flash
10.4%Flash assists
13.07HE damage / grenade
11.56Flashes / match

Recommended for you

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0119%9 Nov →
ancient1–13-0.128%9 Nov →
anubis14–16-0.0315%9 Nov →
cache13–110.0314%9 Nov →
cache15–150.0116%9 Nov →
dust213–70.1414%9 Nov →
nuke15–150.025%5 Nov →
mirage5–00.054%5 Nov →
dust210–130.0013%5 Nov →
nuke10–130.0712%4 Nov →
cache13–60.0716%4 Nov →
mirage12–160.0221%29 Oct →
nuke9–13-0.1017%29 Oct →
dust29–13-0.0420%29 Oct →
anubis13–70.1417%26 Oct →
nuke13–100.0613%26 Oct →
dust210–130.0242%25 Oct →
inferno13–30.0525%25 Oct →
anubis10–130.0716%25 Oct →
nuke16–130.0617%25 Oct →
mirage9–30.0127%25 Oct →
nuke5–13-0.0319%24 Oct →
dust28–13-0.1217%24 Oct →
anubis5–13-0.0316%24 Oct →
mirage4–13-0.0327%24 Oct →
anubis3–130.029%24 Oct →
cache1–130.0111%24 Oct →
dust27–13-0.0222%24 Oct →
mirage6–130.0715%24 Oct →
cache3–130.0118%24 Oct →
cache16–14-0.0111%20 Oct →
cache13–70.0013%20 Oct →
ancient14–16-0.024%20 Oct →
nuke13–5-0.0519%20 Oct →
dust27–13-0.0519%20 Oct →
inferno7–13-0.0216%19 Oct →
nuke13–110.0512%19 Oct →
anubis13–110.0314%18 Oct →
mirage13–9-0.0222%18 Oct →
nuke15–150.0419%18 Oct →
inferno7–130.0621%18 Oct →
dust216–140.0820%18 Oct →
nuke7–13-0.1016%16 Oct →
inferno13–50.0728%16 Oct →
anubis13–16-0.0222%16 Oct →
cache5–13-0.0419%15 Oct →
mirage13–90.0713%15 Oct →
inferno10–13-0.0614%15 Oct →
ancient11–70.0123%14 Oct →
cache16–13-0.0016%14 Oct →
inferno8–13-0.0216%14 Oct →
nuke13–80.0220%14 Oct →
nuke5–13-0.0415%13 Oct →
ancient4–13-0.0515%29 Sept →
cache9–13-0.0412%29 Sept →
inferno13–80.0422%29 Sept →
mirage8–13-0.0310%29 Sept →
mirage13–70.0914%29 Sept →
ancient7–13-0.046%28 Sept →
cache11–13-0.024%28 Sept →
inferno10–13-0.0313%28 Sept →
anubis2–110.0017%28 Sept →
mirage5–130.0420%28 Sept →
inferno15–150.0623%28 Sept →
cache10–10.0418%28 Sept →
nuke5–13-0.025%26 Sept →
dust213–110.0215%26 Sept →
anubis15–15-0.0315%26 Sept →
ancient13–7-0.0313%26 Sept →
nuke14–160.0013%26 Sept →
inferno13–11-0.0615%7 Sept →
inferno13–80.0722%7 Sept →
dust26–13-0.0118%7 Sept →
cache0–130.0018%7 Sept →
anubis16–120.0616%7 Sept →
anubis13–30.0417%1 Sept →
mirage13–80.0722%1 Sept →
dust215–15-0.0016%1 Sept →
mirage13–60.0124%1 Sept →
nuke13–11-0.0116%31 Aug →
cache15–15-0.0115%31 Aug →
nuke13–110.085%31 Aug →
cache13–80.0410%31 Aug →
inferno13–7-0.0127%31 Aug →
nuke13–40.0513%27 Aug →
cache4–1-0.050%27 Aug →
nuke9–13-0.0116%27 Aug →
anubis8–13-0.0128%27 Aug →
inferno13–30.0213%27 Aug →
cache13–7-0.0118%27 Aug →
nuke2–13-0.0323%27 Aug →
ancient13–8-0.0224%25 Aug →
ancient13–90.0111%25 Aug →
nuke8–130.0219%25 Aug →
cache13–160.0031%25 Aug →
mirage13–60.0711%25 Aug →
anubis2–30.0615%25 Aug →
mirage16–12-0.0019%22 Aug →
nuke13–8-0.0516%22 Aug →
inferno13–11-0.0017%22 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 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.