Rebecca

Rebecca — CS2 Stats

76561199080421165[U:1:1120155437]Steam profile ↗✓ No bans

1,807Tracked matches63%Win rate2020Tracked since
2,252Hours in CS47Hrs last 2 wks
CSDB Rating6.9 SolidPositional Player
Premier CS Rating11,166Blue band · top ~48.7% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (2 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: 11,166 -984 2 Sept – 28 Oct · 21 days played
9,88713,331peak 13,3312 Sept28 Oct
13,331Peak Premier in tracked matches
33Days played since 2026-09-02

Premier CS Rating

  • 2,165 below peak (13,331)
  • -426 over 30 days · declining
  • Next: Purple band at 15,000 — 3,834 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-02
  • Light Blue band first seen 2026-09-02

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate56.2%45.7%46.8%above
Shot accuracy6.7%12.7%13.0%6.3% short
Kill/death ratio1.131.051.06above
Match win rate79.3%45.7%46.3%above

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRebeccaFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER11,166 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim76
Positioning79
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLWWLWLLWWW

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · −3.9pp headshot accuracy · −15ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 21%
  • Avg reaction 532ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 20%
  • Avg reaction 560ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 568ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim7.6
Utility5.9
Positioning7.9
Opening Duels7.3
Clutch4.8

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

s1mple

Plays most like s1mple 83% 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

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 570ms 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

Aim7.6
Positioning7.9
Utility5.9
Mechanics5.6
Opening Duels7.7
Win Impact9.4

Composite 6.9/10 (Solid), 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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time562ms+2ms
first ⅓ avg 560ms → last ⅓ avg 562ms
Headshot accuracy22.1%−1.5%
first ⅓ avg 23.6% → last ⅓ avg 22.1%

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

0.17Best match rating · 13–10 · mirage, 19 Oct →
58%Best headshot accuracy · 13–8 · dust2, 27 Sept →
383msFastest reaction time · 10–13 · inferno, 26 Oct →
13–1Biggest win · anubis, 19 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 73% over 15nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B3519–1654%0.02
anubisB158–753%0.01
ancientS1511–473%0.02
mirageC94–544%0.04
infernoC94–544%-0.01
nukeD93–633%-0.02
cacheD62–433%0.03
rush_001—10–10%-0.01
train—10–10%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,491Lifetime kills
1.13K/D · Top 50% of Level 7 players
7,980Matches
79.3%Match win rate · Top 1% of Level 7 players
56.2%Headshot % · Top 25% of Level 7 players
6.7%Shot accuracy
12,741MVPs
1,324Hours (in match)
2,345Bombs planted
810Bombs defused

Most-used weapons

AK-4716,571
AWP11,038
SSG 087,057
Knife1,831
MP71,829
AUG1,011

Lifetime map wins

8,766dust2
3,084nuke
2,223lake
1,597inferno
770train
706vertigo
149office
136italy

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

Faceit stats

Combat

175Matches
54%Win rate
1.08Avg K/D
78.1ADR
49%Headshot %

Clutches & streaks

44%1v1 clutch win
23%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust26857%1.1715.7
Mirage2934%0.8814.4
Nuke2167%1.1514.6
Ancient1850%1.1013.8
Inferno1650%0.8014.3
Anubis1669%1.2215.9
Overpass540%1.1112.6
Vertigo2100%0.9416.0

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.

23.0%Headshot accuracy
35.7%Accuracy (enemy spotted)
32.0%Spray accuracy
75.0%Counter-strafing
8.3°Preaim
570msReaction time
58.2%T opening success
63.1%CT opening success
0.68Enemies flashed / flash
5.8%Flash assists
7.46HE damage / grenade
9.42Flashes / match

Recommended for you

Spend your practice time on Nuke

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis7–130.049%28 Oct →
mirage13–40.019%28 Oct →
dust213–50.1524%28 Oct →
mirage11–130.1328%26 Oct →
mirage16–130.1136%26 Oct →
inferno10–13-0.0120%26 Oct →
anubis2–13-0.0223%26 Oct →
dust213–50.0218%25 Oct →
anubis13–20.1214%25 Oct →
dust213–50.0221%25 Oct →
inferno13–11-0.0019%25 Oct →
ancient13–80.0018%25 Oct →
dust213–5-0.0035%25 Oct →
dust213–30.0820%24 Oct →
nuke6–13-0.0225%24 Oct →
dust22–130.0221%20 Oct →
cache13–40.0233%20 Oct →
ancient13–110.0825%19 Oct →
anubis13–10.0524%19 Oct →
anubis11–13-0.0320%19 Oct →
nuke13–10-0.0320%19 Oct →
inferno13–11-0.0117%19 Oct →
ancient13–20.0933%19 Oct →
dust211–130.0628%19 Oct →
mirage13–100.1729%19 Oct →
inferno3–13-0.0418%19 Oct →
ancient13–30.1027%18 Oct →
dust211–130.0339%16 Oct →
mirage4–13-0.076%15 Oct →
cache16–14-0.0321%14 Oct →
cache9–13-0.025%14 Oct →
inferno13–8-0.0318%14 Oct →
anubis13–50.0629%13 Oct →
ancient16–140.1050%13 Oct →
anubis13–80.0331%12 Oct →
ancient2–11-0.0346%12 Oct →
dust28–130.0018%12 Oct →
cache11–130.0219%12 Oct →
dust213–60.0427%12 Oct →
dust215–15-0.0422%10 Oct →
dust213–3-0.0235%10 Oct →
dust23–13-0.0713%9 Oct →
inferno12–16-0.0516%8 Oct →
ancient13–50.0329%8 Oct →
mirage10–13-0.0315%7 Oct →
mirage16–120.0440%6 Oct →
dust213–11-0.0319%6 Oct →
nuke11–13-0.1020%6 Oct →
dust213–80.0139%6 Oct →
ancient13–6-0.0420%6 Oct →
nuke10–13-0.0126%5 Oct →
inferno13–20.1137%5 Oct →
anubis13–11-0.0223%5 Oct →
mirage8–13-0.0519%5 Oct →
dust213–90.0321%4 Oct →
ancient13–10-0.0315%4 Oct →
dust29–13-0.0219%2 Oct →
rush_0014–8-0.010%1 Oct →
dust211–130.0216%30 Sept →
anubis16–12-0.0219%30 Sept →
cache6–130.0915%30 Sept →
ancient10–13-0.057%30 Sept →
anubis16–12-0.0414%29 Sept →
anubis10–130.0223%28 Sept →
ancient13–60.0624%28 Sept →
dust216–130.0833%28 Sept →
dust213–110.0134%27 Sept →
dust213–9-0.0419%27 Sept →
dust213–80.0258%27 Sept →
train6–130.0121%27 Sept →
ancient5–13-0.039%27 Sept →
inferno1–13-0.0524%26 Sept →
cache12–120.1125%26 Sept →
dust215–150.0319%26 Sept →
anubis13–40.0625%26 Sept →
dust215–15-0.0234%26 Sept →
nuke6–130.0416%26 Sept →
dust210–130.0731%24 Sept →
dust213–50.0331%24 Sept →
nuke6–13-0.0413%24 Sept →
dust29–13-0.0026%24 Sept →
dust27–130.0527%23 Sept →
mirage6–130.0718%23 Sept →
anubis10–130.0829%23 Sept →
nuke8–13-0.0123%23 Sept →
ancient5–13-0.0831%22 Sept →
inferno5–13-0.0017%22 Sept →
dust24–13-0.0619%20 Sept →
dust28–130.0126%20 Sept →
dust213–70.0817%20 Sept →
dust213–90.0220%20 Sept →
anubis7–13-0.0521%18 Sept →
nuke13–5-0.0522%17 Sept →
nuke13–50.0321%17 Sept →
dust211–13-0.0235%17 Sept →
dust213–50.0524%17 Sept →
anubis5–13-0.0721%16 Sept →
dust213–3-0.0119%16 Sept →
ancient13–100.0616%16 Sept →
ancient13–80.0424%16 Sept →

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.