Rapid

Rapid — CS2 Stats

US76561198070049633[U:1:109783905]Steam profile ↗✓ No bans

716Tracked matches31%Win rate2020Tracked since
5,227Hours in CS53Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating16,567Purple band · top ~22.2% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 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: 16,567 +112 21 Sept – 11 Oct · 8 days played
16,22916,890peak 16,89021 Sept11 Oct
17,121Peak Premier in tracked matches
25Days played since 2026-07-23

Premier CS Rating

  • 323 below peak (16,890)
  • Next: Pink band at 20,000 — 3,433 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-25
  • Blue band first seen 2026-09-25

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate44.2%44.3%46.9%2.7% short
Shot accuracy11.9%11.9%13.0%1.0% short
Kill/death ratio1.351.031.08above
Match win rate30.1%45.2%46.7%16.6% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGRapidPREMIER16,567 · Purple bandcsdb.gg/stats

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Performance scores

Aim72
Positioning78
Utility27

0–100 skill scores via Leetify.

Recent form

COLD32–62–6Last 10032%Win rateWLLLLWLLLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +2.3pp headshot accuracy · −20ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 666ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 590ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 17%
  • Avg reaction 600ms

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 (+2.7 against its own average).

Aim7.2
Utility2.7
Positioning7.8
Opening Duels7.2
Clutch2.6

Limited utility dependence

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

m0NESY

Plays most like m0NESY 62% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

T openings. 75% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 611ms 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

Aim7.2
Positioning7.8
Utility2.7
Mechanics6.3
Opening Duels8.7
Win Impact0.0

Composite 5.9/10 (Solid), 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 rating0.04−0.01
first ⅓ avg 0.06 → last ⅓ avg 0.04
Reaction time619ms+13ms
first ⅓ avg 605ms → last ⅓ avg 619ms
Headshot accuracy17.3%−7.4%
first ⅓ avg 24.6% → last ⅓ avg 17.3%

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

0.19Best match rating · 4–13 · cache, 28 Jul →
64%Best headshot accuracy · 13–11 · office, 30 Aug →
422msFastest reaction time · 13–9 · ancient, 28 Sept →
13–3Biggest win · mirage, 21 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
6–10In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 44% over 18infernoWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC188–1044%0.06
dust2D185–1328%0.06
infernoD111–109%0.03
ancientD113–827%0.05
vertigoD93–633%0.05
cacheD93–633%0.06
nukeC83–538%0.03
officeC73–443%0.04
anubis—40–40%0.05
train—32–167%0.05
italy—10–10%-0.08
overpass—11–0100%0.14

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,436Lifetime kills
1.35K/D · Top 10% of Purple band
5,241Matches
30.1%Match win rate
44.2%Headshot %
11.9%Shot accuracy · Top 50% of Purple band
8,600MVPs
4,957Hours (in match)
2,766Bombs planted
771Bombs defused

Most-used weapons

AK-4724,906
AWP7,405
XM10141,139
Tec-91,085
SSG 081,045
P250958

Lifetime map wins

5,975dust2
2,736nuke
2,667inferno
875train
693vertigo
381office
228cbble
125lake

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

Faceit stats

Combat

32Matches
56%Win rate
1.15Avg K/D
93.2ADR
46%Headshot %

Clutches & streaks

33%1v1 clutch win
17%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke771%1.2519.1
Dust2757%1.0615.3
Mirage633%1.1416.5
Cache667%1.4420.8
Ancient367%1.1518.3
Inferno250%0.526.0
Anubis10%0.578.0

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.

17.7%Headshot accuracy
38.5%Accuracy (enemy spotted)
38.8%Spray accuracy
78.2%Counter-strafing
10.0°Preaim
611msReaction time
74.6%T opening success
59.6%CT opening success
0.42Enemies flashed / flash
0.0%Flash assists
15.11HE damage / grenade
1.62Flashes / 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. 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 0.4185 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–80.0725%13 Oct →
vertigo7–130.0523%11 Oct →
italy4–13-0.0814%11 Oct →
dust211–130.0317%11 Oct →
inferno4–130.0222%11 Oct →
office13–110.0113%11 Oct →
inferno5–130.0534%11 Oct →
nuke5–130.0717%11 Oct →
ancient5–13-0.017%11 Oct →
cache13–80.1311%7 Oct →
mirage2–13-0.0113%5 Oct →
cache9–13-0.0622%5 Oct →
inferno13–70.0817%5 Oct →
dust213–70.0113%5 Oct →
cache14–160.0724%5 Oct →
inferno12–120.0713%5 Oct →
vertigo13–90.1213%5 Oct →
overpass13–60.148%5 Oct →
mirage8–130.0411%4 Oct →
cache10–130.1026%4 Oct →
dust211–130.0725%4 Oct →
ancient2–130.0725%28 Sept →
dust28–130.1815%28 Sept →
dust25–130.0414%28 Sept →
dust210–130.1817%28 Sept →
ancient13–90.0619%28 Sept →
ancient7–130.0320%28 Sept →
mirage13–70.0321%28 Sept →
dust27–13-0.0821%27 Sept →
mirage11–13-0.0310%27 Sept →
cache6–2-0.067%27 Sept →
dust26–13-0.0015%27 Sept →
nuke13–50.0618%27 Sept →
vertigo13–50.0920%27 Sept →
mirage4–130.0211%27 Sept →
mirage11–130.0814%27 Sept →
ancient5–13-0.0115%27 Sept →
mirage13–50.0519%27 Sept →
inferno5–13-0.0112%27 Sept →
train13–100.1116%25 Sept →
nuke10–130.0021%25 Sept →
dust213–110.0731%25 Sept →
vertigo13–90.1524%25 Sept →
ancient7–130.0818%25 Sept →
mirage11–130.0315%22 Sept →
ancient10–13-0.016%21 Sept →
cache13–90.1212%21 Sept →
mirage13–30.1716%21 Sept →
dust213–90.0514%21 Sept →
ancient4–13-0.0019%20 Sept →
cache8–130.0319%20 Sept →
mirage8–13-0.077%20 Sept →
cache10–130.0416%20 Sept →
office2–13-0.0627%20 Sept →
dust24–130.0229%20 Sept →
train13–11-0.0448%20 Sept →
nuke2–130.0320%19 Sept →
vertigo12–120.0826%19 Sept →
dust214–160.0621%17 Sept →
inferno4–130.0122%17 Sept →
nuke14–160.0520%17 Sept →
dust213–50.0822%17 Sept →
dust28–130.1011%15 Sept →
nuke13–40.1016%15 Sept →
train5–130.0910%13 Sept →
mirage16–140.1116%13 Sept →
dust212–120.0820%9 Sept →
ancient13–70.1017%9 Sept →
inferno3–13-0.0611%9 Sept →
office3–130.0122%7 Sept →
dust24–13-0.0321%7 Sept →
anubis14–160.1413%6 Sept →
dust210–130.1322%6 Sept →
mirage8–130.0816%6 Sept →
mirage13–60.1426%5 Sept →
inferno9–13-0.0314%5 Sept →
vertigo6–13-0.0816%30 Aug →
office13–11-0.0064%30 Aug →
inferno12–120.0937%30 Aug →
mirage8–130.1618%30 Aug →
dust213–110.1521%30 Aug →
nuke13–3-0.0218%26 Aug →
mirage13–30.0618%26 Aug →
inferno8–80.055%13 Aug →
anubis6–13-0.039%2 Aug →
vertigo5–130.0423%28 Jul →
office6–130.0845%28 Jul →
mirage8–130.0917%28 Jul →
vertigo12–120.0326%28 Jul →
ancient6–130.0323%28 Jul →
anubis3–130.0241%28 Jul →
cache4–130.1939%28 Jul →
office13–90.1260%28 Jul →
nuke7–13-0.0330%28 Jul →
mirage13–30.1122%28 Jul →
inferno9–130.0615%23 Jul →
office6–130.1126%23 Jul →
vertigo3–13-0.0329%23 Jul →
anubis11–130.0713%23 Jul →
ancient6–20.1740%23 Jul →

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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