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Helen Keller — CS2 Stats

76561198112507308[U:1:152241580]✓ No bans

672Tracked matches43%Win rate2020Tracked since
CSDB Rating3.9 Learning
Premier CS Rating9,896Light Blue band · top ~55.4% of ranked players (population est.)
CSDB Leaderboard#19511 of 26545 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGHelen KellerFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER9,896 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim44
Positioning56
Utility18

0–100 skill scores via Leetify.

Recent form

COLD37–61–2Last 10037%Win rateLLLLLLLWLL

Last 10 vs previous 10: -70pp win rate · -0.03 avg rating

Player DNA

Aim4.4
Aggression6.7
Utility1.8
Positioning5.6
Opening Duels3.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 78% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 56% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 638ms 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

Aim4.4
Positioning5.6
Utility1.8
Mechanics6.6
Opening Duels3.4
Win Impact2.8

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time642ms−58ms
first ⅓ avg 700ms → last ⅓ avg 642ms
Headshot accuracy13.7%+1.0%
first ⅓ avg 12.7% → last ⅓ avg 13.7%

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.

Highlights

0.14Best rating — overpass 4–0
13–3Biggest win — cache
7Longest win streak
L7Current streak
6–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 50% over 6dust2Weakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageC3012–1840%-0.03
infernoC239–1439%-0.02
nukeD185–1328%-0.03
dust2D123–925%-0.02
overpassB63–350%0.03
ancient—41–325%-0.00
cache—43–175%0.01
anubis—21–150%-0.00
train—10–10%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.3%Headshot accuracy
31.3%Accuracy (enemy spotted)
29.8%Spray accuracy
79.8%Counter-strafing
11.0°Preaim
638msReaction time
31.5%T opening success
55.5%CT opening success
0.38Enemies flashed / flash
0.5%Flash assists
11.04HE damage / grenade
0.97Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.3223% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3753 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 31.4518% — below the 40% mark we flag

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.

25% win rate across 12 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
dust28–13-0.028%28 Aug →
dust26–13-0.0412%28 Aug →
mirage7–13-0.0626%28 Aug →
nuke9–13-0.0514%28 Aug →
ancient10–130.0317%26 Aug →
ancient8–13-0.0320%25 Aug →
dust213–160.0110%25 Aug →
cache13–10-0.0518%25 Aug →
inferno4–13-0.0415%25 Aug →
inferno10–13-0.052%22 Aug →
anubis11–13-0.0113%22 Aug →
cache13–3-0.059%21 Aug →
cache3–00.1113%21 Aug →
dust213–70.0417%21 Aug →
mirage13–30.0715%21 Aug →
inferno13–80.0519%21 Aug →
inferno13–11-0.0412%20 Aug →
mirage13–5-0.043%20 Aug →
dust214–16-0.0711%19 Aug →
nuke13–10-0.067%19 Aug →
dust213–6-0.007%19 Aug →
mirage10–130.0311%14 Aug →
anubis13–60.0121%14 Aug →
nuke5–13-0.0912%14 Aug →
dust29–13-0.0814%12 Aug →
nuke13–100.0115%12 Aug →
mirage13–100.0213%11 Aug →
nuke8–13-0.0617%11 Aug →
cache7–130.0226%11 Aug →
nuke6–13-0.026%11 Aug →
mirage13–80.0016%10 Aug →
inferno12–40.0221%10 Aug →
inferno3–13-0.0415%6 Aug →
mirage16–13-0.0420%4 Aug →
dust25–13-0.0416%4 Aug →
mirage16–12-0.0417%3 Aug →
inferno5–13-0.0613%3 Aug →
inferno16–13-0.0317%30 Jul →
nuke10–13-0.0224%22 Jul →
mirage13–30.0224%22 Jul →
dust210–130.0124%22 Jul →
nuke10–13-0.0415%24 Jun →
nuke9–13-0.0627%15 May →
mirage7–13-0.0713%15 May →
mirage3–13-0.1436%15 May →
nuke10–13-0.0314%13 May →
overpass13–30.0420%24 Apr →
overpass11–130.0615%14 Apr →
nuke13–6-0.0225%27 Mar →
nuke11–130.0014%25 Mar →
inferno5–13-0.0621%11 Mar →
inferno8–13-0.0111%11 Mar →
mirage4–13-0.078%9 Mar →
ancient5–13-0.0219%9 Mar →
mirage13–40.0116%9 Mar →
nuke8–13-0.0113%5 Mar →
mirage11–13-0.0517%4 Mar →
mirage9–13-0.0734%3 Mar →
inferno13–70.0213%2 Mar →
nuke9–13-0.0413%1 Mar →
ancient13–10-0.0018%1 Mar →
inferno13–110.0118%19 Feb →
nuke11–13-0.0418%18 Feb →
mirage14–16-0.0113%18 Feb →
mirage8–13-0.078%8 Feb →
overpass13–16-0.0322%7 Feb →
mirage14–16-0.017%4 Feb →
inferno13–11-0.0514%3 Feb →
mirage1–13-0.0310%3 Feb →
dust25–13-0.0713%3 Feb →
overpass13–50.0212%30 Jan →
inferno4–13-0.0311%30 Jan →
mirage11–130.0116%30 Jan →
inferno5–13-0.036%25 Jan →
mirage13–110.0316%22 Jan →
mirage9–13-0.0311%10 Nov →
overpass10–13-0.0710%29 Sept →
nuke13–80.0518%29 Sept →
mirage13–4-0.069%29 Sept →
overpass4–00.1414%13 Sept →
mirage6–130.0310%13 Sept →
mirage13–11-0.0112%5 Aug →
dust25–13-0.0717%5 Aug →
inferno11–13-0.0210%11 Jul →
train3–13-0.080%10 Jul →
inferno15–150.0212%7 Jul →
mirage9–13-0.0417%7 Jul →
dust213–80.0421%3 Jul →
inferno10–13-0.0616%3 Jul →
nuke13–80.0521%24 Jun →
inferno10–13-0.0110%24 Jun →
nuke10–13-0.0312%23 Jun →
mirage13–11-0.0521%23 Jun →
inferno7–13-0.0511%5 Dec →
mirage2–13-0.0416%5 Dec →
inferno13–8-0.055%25 Mar →
inferno6–13-0.1115%25 Mar →
mirage12–12-0.0712%14 Mar →
inferno13–80.0514%14 Mar →
mirage10–16-0.048%23 Sept →

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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