Rapid

Rapid — CS2 Stats

DE76561198112459309[U:1:152193581]Steam profile ↗✓ No bans

2,490Tracked matches41%Win rate2020Tracked since
7,639Hours in CS5Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating15,372Purple band · top ~26.9% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 15,372 → 15,372
+2Tracked matches · now 2,490
−3.7ppWin rate · 44.4% → 40.7%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 30 days played since 25 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 15,372 +1,679 25 Jul11 Sept · 11 days played
13,69315,372peak 15,37225 Jul11 Sept
15,372Peak Premier in tracked matches
30Days played since 2026-07-25

Premier CS Rating

  • At peak — 15,372
  • +372 over 30 days · steady
  • Next: Pink band at 20,000 4,628 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

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=37,147), 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 rate45.6%44.3%46.9%1.3% short
Shot accuracy17.1%11.8%13.0%above
Kill/death ratio0.591.031.080.49 short
Match win rate36.4%45.2%46.7%10.3% short

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

Widest gap: Kill/death ratio. 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.

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CSDB.GGRapidPREMIER15,372 · Purple bandcsdb.gg/stats

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Performance scores

Aim71
Positioning44
Utility21

0–100 skill scores via Leetify.

Recent form

COLD44506Last 10044%Win rateLLLLWLTWLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +5.8pp headshot accuracy · +116ms 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

  • 14 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 675ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 656ms

Last 20

  • 5132 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 598ms

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 PlayerPositioning stands above the rest of this profile (+1.6 against its own average).

Aim7.1
Utility2.1
Positioning4.4
Opening Duels2.5
Clutch2.4

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

ropz

Plays most like ropz 96% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

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

Reaction time. 626ms 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

Aim7.1
Positioning4.4
Utility2.1
Mechanics7.4
Opening Duels2.3
Win Impact1.9

Composite 4.9/10 (Developing), 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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time608ms−76ms
first ⅓ avg 685ms → last ⅓ avg 608ms
Headshot accuracy20.9%−1.6%
first ⅓ avg 22.5% → last ⅓ avg 20.9%

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

0.14Best match rating · 13–9 · cache, 27 Aug
50%Best headshot accuracy · 4–0 · cache, 15 Aug
344msFastest reaction time · 7–13 · canopy, 28 Aug
13–1Biggest win · canopy, 19 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
910In matches decided by ≤2 rounds
7Overtime games

Map breakdown

elevationBest map · 63% over 8boulderWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
timberB126650%-0.04
canopyA106460%-0.03
cacheC94544%0.01
dust2B84450%0.02
elevationA85363%-0.03
biomeC73443%-0.04
splinterD71614%-0.04
fachwerkA53260%-0.01
boulderD5050%-0.04
mills41325%-0.03
mirage41325%0.00
nuke42250%0.01
shelter43175%-0.00
inferno43175%-0.01
anubis31233%-0.03
jura31233%-0.00
italy1010%-0.02
overpass1010%0.00
ancient1010%-0.05

Across the last 100 tracked matches.

Lifetime stats

113,474Lifetime kills
0.59K/D
9,792Matches
36.4%Match win rate
45.6%Headshot % · Top 50% of Purple band
17.1%Shot accuracy · Top 25% of Purple band
14,891MVPs
3,628Hours (in match)
1,546Bombs planted
1,183Bombs defused

Most-used weapons

AK-4736,519
AWP12,199
FAMAS3,073
MP92,014
MAC-101,713

Lifetime map wins

6,708dust2
4,212inferno
2,147nuke
2,024cbble
1,347vertigo
1,013train
814italy
527office

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

Faceit stats

Combat

1,834Matches
54%Win rate
0.99Avg K/D
63.7ADR
45%Headshot %

Clutches & streaks

32%1v1 clutch win
9%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Bridge3148%0.8012.3
Breach 3.02759%0.7011.8
Boulder2143%0.7611.6
Flick2050%0.6112.0
Fjords1947%0.6611.7
Timber1650%0.7912.3
Biome1553%0.7212.1
CONTEST Canopy1369%1.0116.0

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.

20.8%Headshot accuracy
33.0%Accuracy (enemy spotted)
33.4%Spray accuracy
83.1%Counter-strafing
8.5°Preaim
626msReaction time
40.0%T opening success
38.5%CT opening success
0.35Enemies flashed / flash
5.1%Flash assists
2.55HE damage / grenade
2.86Flashes / 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 0.3524 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 39.9774% — below the 40% mark we flag

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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache11–130.0520%11 Sept
biome7–13-0.0625%11 Sept
cache4–130.0123%10 Sept
cache0–13-0.0936%10 Sept
cache13–10-0.0025%10 Sept
fachwerk3–12-0.0646%10 Sept
cache12–12-0.0122%10 Sept
dust213–110.0118%5 Sept
mills9–13-0.0418%5 Sept
timber13–3-0.0511%5 Sept
splinter5–13-0.0812%3 Sept
splinter8–13-0.1318%28 Aug
canopy7–13-0.0419%28 Aug
cache13–90.1420%27 Aug
italy4–13-0.0217%27 Aug
overpass3–70.0027%27 Aug
fachwerk13–80.0322%27 Aug
mirage15–15-0.0229%26 Aug
dust28–130.0522%25 Aug
boulder0–2-0.030%25 Aug
boulder8–13-0.098%23 Aug
anubis9–13-0.0315%22 Aug
nuke13–10-0.059%22 Aug
shelter13–7-0.0026%22 Aug
boulder7–130.0128%22 Aug
fachwerk13–5-0.0219%22 Aug
fachwerk12–12-0.0319%22 Aug
fachwerk13–70.0326%22 Aug
shelter8–00.0233%22 Aug
canopy13–11-0.0614%21 Aug
biome8–13-0.1129%21 Aug
canopy16–12-0.0321%20 Aug
biome13–4-0.0114%20 Aug
elevation13–9-0.0727%20 Aug
canopy13–10.0222%19 Aug
elevation7–13-0.0615%18 Aug
timber6–13-0.0131%18 Aug
splinter6–13-0.0224%17 Aug
jura19–16-0.0315%17 Aug
canopy13–90.0128%17 Aug
mills13–9-0.0545%17 Aug
timber10–13-0.0815%16 Aug
canopy13–16-0.0920%16 Aug
mills11–130.0114%16 Aug
timber13–3-0.0221%16 Aug
inferno8–13-0.0418%15 Aug
mirage12–120.0419%15 Aug
cache4–00.0250%15 Aug
splinter17–19-0.0516%15 Aug
jura10–130.0117%15 Aug
elevation13–90.0321%15 Aug
splinter11–13-0.0024%15 Aug
dust28–13-0.0133%15 Aug
splinter6–13-0.0232%14 Aug
biome11–13-0.068%14 Aug
canopy13–11-0.0223%14 Aug
timber10–13-0.0420%14 Aug
timber6–13-0.0716%13 Aug
jura9–130.0121%13 Aug
timber13–7-0.0326%12 Aug
canopy13–50.0014%11 Aug
timber13–40.0711%11 Aug
biome7–130.0019%11 Aug
elevation13–30.0713%11 Aug
elevation8–13-0.0818%9 Aug
splinter13–70.0121%9 Aug
timber10–13-0.0817%9 Aug
mills9–13-0.0519%9 Aug
boulder10–130.0117%9 Aug
timber13–8-0.0644%8 Aug
elevation13–10-0.0125%8 Aug
biome13–4-0.0610%8 Aug
canopy6–13-0.0428%8 Aug
biome13–80.0111%8 Aug
timber16–13-0.0415%8 Aug
canopy11–13-0.0129%8 Aug
elevation13–6-0.0112%8 Aug
timber11–13-0.0621%7 Aug
elevation10–13-0.0829%7 Aug
inferno13–11-0.0117%6 Aug
dust216–140.0217%6 Aug
cache13–60.0526%2 Aug
inferno13–30.0317%2 Aug
shelter13–10-0.0323%2 Aug
nuke13–110.0721%1 Aug
mirage1–7-0.0440%1 Aug
dust213–110.0424%1 Aug
anubis8–13-0.0316%1 Aug
nuke5–13-0.0319%1 Aug
ancient12–12-0.0521%30 Jul
dust213–110.0128%30 Jul
mirage10–10.0321%30 Jul
cache12–12-0.0629%26 Jul
boulder0–10-0.0917%26 Jul
shelter11–130.0127%26 Jul
inferno13–11-0.0122%26 Jul
anubis13–5-0.0222%26 Jul
dust24–60.0229%26 Jul
dust28–130.0023%25 Jul
nuke10–130.0523%25 Jul

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 →