Rapid

Rapid — CS2 Stats

DE76561198015804164[U:1:55538436]Steam profile ↗✓ No bans

476Tracked matches50%Win rate2021Tracked since
2,102Hours in CS16Hrs last 2 wks
CSDB Rating7.0 StrongSupport
Premier CS Rating16,578Purple band · top ~22.1% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (yesterday). 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: 16,578 +906 31 Jul – 29 Oct · 31 days played
14,52817,175peak 17,17531 Jul29 Oct
17,175Peak Premier in tracked matches
35Days played since 2026-07-27

Premier CS Rating

  • 597 below peak (17,175)
  • +1,100 over 30 days · improving
  • +906 over 90 days
  • Next: Pink band at 20,000 — 3,422 to go
  • Reached: Purple band · Blue band · Light Blue band

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 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate39.5%41.8%42.7%3.2% short
Shot accuracy13.3%12.2%11.2%above
Kill/death ratio1.010.980.99meets
Match win rate45.3%43.3%43.9%above

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

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRapidFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER16,578 · Purple 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
Positioning75
Utility76

0–100 skill scores via Leetify.

Recent form

STEADY41–55–4Last 10041%Win rateWWWLLWLLWL

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · +2.6pp 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 -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 591ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 612ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 619ms

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 (+2.6 against its own average).

Aim7.6
Utility7.6
Positioning7.5
Opening Duels5.1
Clutch0.0

Strong CT-side openerEffective flashesHigh utility contribution

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

ZywOo

Plays most like ZywOo 78% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

Reaction time. 619ms 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
Positioning7.5
Utility7.6
Mechanics6.4
Opening Duels6.5
Win Impact5.0

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time625ms−29ms
first ⅓ avg 653ms → last ⅓ avg 625ms
Headshot accuracy11.1%−1.4%
first ⅓ avg 12.5% → last ⅓ avg 11.1%

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

0.27Best match rating · 9–2 · inferno, 22 Aug →
33%Best headshot accuracy · 8–8 · inferno, 22 Aug →
453msFastest reaction time · 5–13 · inferno, 16 Aug →
13–3Biggest win · ancient, 26 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W3Current streak
9–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 67% over 18cacheWeakest map · 13% over 15
MapGradePlayedRecordWin rateAvg rating
infernoB2513–1252%0.02
ancientC2310–1343%0.02
nukeS1812–667%0.02
cacheD152–1313%0.03
dust2D103–730%-0.02
mirageD51–420%0.06
anubis—40–40%0.03

Across the last 100 tracked matches.

Lifetime stats

58,433Lifetime kills
1.01K/D · Top 50% of Level 3 players
3,454Matches
45.3%Match win rate · Top 50% of Level 3 players
39.5%Headshot %
13.3%Shot accuracy · Top 50% of Level 3 players
6,967MVPs
1,245Hours (in match)
4,006Bombs planted
647Bombs defused

Most-used weapons

AK-4713,962
AWP4,013
AUG2,082
MP71,894
P901,619

Lifetime map wins

13,546dust2
3,218inferno
1,486nuke
925office
522vertigo
468train
342lake
336cbble

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

Faceit stats

Combat

5Matches
20%Win rate
1.01Avg K/D
92.9ADR
42%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno10%0.9415.0
Ancient10%1.4722.0

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.

11.3%Headshot accuracy
44.3%Accuracy (enemy spotted)
45.5%Spray accuracy
78.9%Counter-strafing
10.1°Preaim
619msReaction time
51.3%T opening success
60.8%CT opening success
0.72Enemies flashed / flash
10.0%Flash assists
9.81HE damage / grenade
14.35Flashes / 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 11.2783% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Cache

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

13% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–60.0412%29 Oct →
dust213–10-0.0315%29 Oct →
ancient13–6-0.0215%29 Oct →
dust25–12-0.054%29 Oct →
inferno6–13-0.0612%28 Oct →
dust213–50.0313%28 Oct →
inferno13–16-0.0310%28 Oct →
cache8–130.0622%28 Oct →
nuke13–70.0413%28 Oct →
dust22–13-0.139%27 Oct →
mirage8–130.086%27 Oct →
inferno8–13-0.0615%26 Oct →
mirage16–130.068%26 Oct →
nuke13–110.0313%26 Oct →
ancient13–30.157%26 Oct →
ancient6–13-0.017%26 Oct →
dust213–80.0110%23 Oct →
inferno16–130.0110%23 Oct →
cache10–130.009%23 Oct →
inferno13–110.0214%23 Oct →
inferno7–130.008%20 Oct →
ancient13–90.066%20 Oct →
mirage9–130.0415%20 Oct →
mirage6–130.0411%13 Oct →
cache9–130.0516%13 Oct →
cache11–130.147%11 Oct →
nuke13–60.0113%11 Oct →
nuke13–11-0.0217%6 Oct →
ancient13–40.108%6 Oct →
dust26–13-0.0210%5 Oct →
inferno13–80.138%5 Oct →
nuke13–90.0610%29 Sept →
inferno13–70.0412%29 Sept →
anubis5–130.0710%29 Sept →
dust28–130.039%28 Sept →
mirage11–130.0712%28 Sept →
ancient11–130.0614%22 Sept →
cache2–130.0215%22 Sept →
nuke13–60.0524%22 Sept →
anubis15–150.0610%21 Sept →
nuke15–150.0513%21 Sept →
ancient10–130.016%7 Sept →
inferno13–60.0010%7 Sept →
nuke13–50.0514%7 Sept →
cache14–160.0110%6 Sept →
nuke13–50.0016%6 Sept →
cache10–130.0319%6 Sept →
inferno13–40.0217%2 Sept →
ancient13–6-0.0111%2 Sept →
ancient13–11-0.0118%2 Sept →
cache7–13-0.046%31 Aug →
nuke13–90.035%31 Aug →
cache7–130.0632%26 Aug →
ancient13–110.0511%26 Aug →
inferno6–13-0.0115%26 Aug →
inferno7–130.0115%26 Aug →
ancient9–13-0.0112%24 Aug →
inferno10–130.0313%24 Aug →
inferno9–50.0713%24 Aug →
nuke15–150.015%22 Aug →
ancient10–130.047%22 Aug →
inferno8–8-0.0333%22 Aug →
inferno9–20.2716%22 Aug →
nuke10–13-0.057%21 Aug →
ancient7–13-0.0016%21 Aug →
ancient11–13-0.0611%21 Aug →
inferno7–9-0.0815%18 Aug →
ancient10–130.029%17 Aug →
ancient13–11-0.0212%17 Aug →
inferno5–13-0.0522%16 Aug →
nuke16–130.0314%16 Aug →
ancient9–13-0.035%11 Aug →
ancient13–160.0113%11 Aug →
nuke13–90.059%8 Aug →
nuke10–13-0.0517%8 Aug →
cache16–140.0610%8 Aug →
inferno13–40.0612%6 Aug →
ancient10–130.0111%6 Aug →
inferno13–110.0613%6 Aug →
cache10–130.0312%4 Aug →
dust25–13-0.055%4 Aug →
nuke6–130.0014%4 Aug →
cache13–60.0613%3 Aug →
ancient13–60.0618%3 Aug →
inferno13–11-0.039%3 Aug →
nuke7–130.0717%2 Aug →
anubis9–13-0.0314%2 Aug →
ancient9–130.0910%2 Aug →
dust28–130.0116%2 Aug →
cache4–130.015%2 Aug →
nuke13–60.059%31 Jul →
dust25–13-0.0314%31 Jul →
cache6–130.0217%31 Jul →
anubis8–130.037%30 Jul →
inferno16–130.0510%30 Jul →
inferno9–130.0214%28 Jul →
ancient16–130.049%28 Jul →
ancient2–13-0.057%27 Jul →
inferno6–130.0527%27 Jul →
cache0–13-0.1119%27 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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