Rachel.

Rachel. — CS2 Stats

76561199088730306[U:1:1128464578]Steam profile ↗✓ No bans

1,240Tracked matches56%Win rate2021Tracked since
CSDB Rating3.6 Learning
Premier CS Rating13,116Blue band · top ~38.4% of ranked players (population est.)
CSDB Leaderboard#35213 of 53456 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGRachel.FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER13,116 · Blue bandcsdb.gg/stats

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Performance scores

Aim38
Positioning46
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY43498Last 10043%Win rateLLWWWLLLWW

Last 10 vs previous 10: +10pp win rate · -0.04 avg rating

Player DNA

Aim3.8
Aggression5.9
Utility2.3
Positioning4.6
Opening Duels1.5
Clutch3.2

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

NiKo

Plays most like NiKo 74% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Reaction time. 636ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.8
Positioning4.6
Utility2.3
Mechanics3.5
Opening Duels1.5
Win Impact7.0

Composite 3.6/10 (Learning), 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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time620ms−31ms
first ⅓ avg 651ms → last ⅓ avg 620ms
Headshot accuracy10.6%−0.2%
first ⅓ avg 10.9% → last ⅓ avg 10.6%

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

0.12Best rating — warden 13–4
132Biggest win — cache
4Longest win streak
L2Current streak
84In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 65% over 17vertigoWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C2191243%-0.02
mirageS1711665%-0.02
infernoD134931%-0.03
anubisB126650%-0.03
overpassD102820%-0.02
ancientA106460%-0.01
officeD62433%-0.03
vertigoD5050%-0.03
cache21150%-0.03
warden110100%0.12
train1010%-0.01
italy1010%-0.02
nuke110100%-0.02

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

435Matches
48%Win rate
0.74Avg K/D
74.4ADR
33%Headshot %

Clutches & streaks

36%1v1 clutch win
26%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Anubis1471%0.7711.7
Ancient1155%0.9912.6
Vertigo1040%0.659.7
Inferno1070%1.1014.6
Mirage1030%0.8810.9
Dust2875%0.7311.8
Nuke10%0.539.0
Overpass1100%1.2123.0

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.

10.6%Headshot accuracy
32.4%Accuracy (enemy spotted)
34.4%Spray accuracy
65.7%Counter-strafing
10.1°Preaim
636msReaction time
35.5%T opening success
36.6%CT opening success
0.45Enemies flashed / flash
0.9%Flash assists
6.79HE damage / grenade
1.73Flashes / 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 10.589% — 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 0.4462 — 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 35.5066% — below the 40% mark we flag

Spend your practice time on Vertigo

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
dust25–13-0.034%27 Jun
overpass7–13-0.0611%27 Jun
anubis13–11-0.007%27 Jun
mirage13–8-0.033%27 Jun
dust216–13-0.0415%26 Jun
overpass11–13-0.0213%26 Jun
inferno3–9-0.2413%23 Jun
dust212–160.0110%23 Jun
dust213–90.0315%21 Jun
office13–90.019%13 May
office12–12-0.0410%13 May
cache13–20.058%29 Apr
cache9–13-0.1217%29 Apr
mirage15–15-0.066%16 Apr
inferno2–13-0.0211%16 Apr
ancient13–90.017%16 Apr
dust213–160.0022%16 Apr
warden13–40.1218%14 Apr
overpass12–12-0.0111%14 Apr
dust213–70.0213%14 Apr
vertigo12–12-0.027%14 Apr
anubis13–2-0.0411%14 Apr
vertigo5–13-0.057%12 Apr
anubis10–13-0.0814%12 Apr
mirage8–13-0.0310%12 Apr
dust213–70.016%12 Apr
mirage13–11-0.0211%11 Apr
mirage13–4-0.0312%10 Apr
dust212–12-0.066%10 Apr
overpass2–130.027%10 Apr
inferno9–50.0412%10 Apr
anubis13–8-0.0115%5 Apr
ancient10–13-0.0212%28 Mar
anubis7–13-0.0511%28 Mar
mirage16–13-0.0015%27 Mar
vertigo7–13-0.0310%27 Mar
train12–12-0.0115%27 Mar
overpass13–11-0.005%27 Mar
mirage13–9-0.0217%22 Mar
office12–12-0.057%22 Mar
office10–13-0.048%22 Mar
dust24–13-0.048%22 Mar
ancient13–80.068%22 Mar
mirage13–8-0.039%20 Mar
italy5–13-0.0214%20 Mar
office9–13-0.0413%20 Mar
vertigo5–13-0.0418%20 Mar
dust213–5-0.0711%15 Mar
ancient8–13-0.044%15 Mar
overpass6–13-0.0610%12 Mar
overpass13–5-0.0114%12 Mar
inferno13–20.0311%8 Mar
dust213–70.0113%8 Mar
anubis9–13-0.027%8 Mar
ancient13–9-0.0511%6 Mar
anubis13–11-0.069%6 Mar
anubis13–80.0413%5 Mar
office13–11-0.048%5 Mar
mirage11–130.009%4 Mar
dust213–110.0112%4 Mar
inferno5–13-0.0416%4 Mar
ancient13–30.0533%4 Mar
inferno11–130.0416%3 Mar
inferno2–8-0.0518%3 Mar
anubis9–13-0.033%1 Mar
ancient13–7-0.0210%1 Mar
mirage13–50.0816%1 Mar
ancient8–13-0.019%28 Feb
dust27–13-0.039%28 Feb
mirage13–11-0.006%28 Feb
anubis9–13-0.0524%28 Feb
overpass8–13-0.0619%16 Feb
dust26–13-0.0213%15 Feb
anubis13–8-0.0311%15 Feb
anubis0–13-0.089%13 Feb
mirage13–7-0.0211%7 Feb
dust29–13-0.0611%7 Feb
nuke13–6-0.025%7 Feb
dust29–13-0.089%3 Feb
mirage6–13-0.085%3 Feb
dust23–13-0.0417%1 Feb
inferno15–15-0.057%1 Feb
inferno13–4-0.079%28 Jan
dust213–40.0021%28 Jan
dust24–13-0.0912%16 Jan
mirage10–13-0.0017%16 Jan
inferno9–130.0116%12 Jan
mirage8–13-0.078%11 Jan
mirage13–70.028%11 Jan
vertigo7–13-0.0211%11 Jan
dust213–90.008%11 Jan
inferno13–40.025%11 Jan
overpass9–130.0210%9 Jan
dust211–130.0111%9 Jan
mirage13–90.0014%9 Jan
inferno10–13-0.0113%9 Jan
ancient13–11-0.026%7 Jan
overpass8–13-0.0216%7 Jan
inferno4–13-0.087%6 Jan
ancient8–13-0.023%6 Jan

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 →