Rantanplan

Rantanplan — CS2 Stats

DE76561197961922907[U:1:1657179]Steam profile ↗✓ No bans

1,208Tracked matches39%Win rate2020Tracked since
2,237Hours in CS31Hrs last 2 wks
CSDB Rating6.9 SolidAll-Rounder
Premier CS Rating19,206Top 50% of 212,133 CSDB-tracked playersPurple band · top ~11.7% of ranked players (population est.)
CSDB Leaderboard#96337 of 259120 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 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: 19,206 +579 19 Oct – 31 Oct · 4 days played
18,51119,206peak 19,20619 Oct31 Oct
19,327Peak Premier in tracked matches
42Days played since 2026-08-12

Premier CS Rating

  • At peak — 19,206
  • Next: Pink band at 20,000 — 794 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 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 rate53.9%44.4%46.9%above
Shot accuracy7.3%11.9%13.0%5.7% short
Kill/death ratio0.971.031.080.11 short
Match win rate46.7%45.2%46.7%meets

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGRantanplanPREMIER19,206 · 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

Aim94
Positioning61
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY43–50–7Last 10043%Win rateLWWWLLWWLL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −6.0pp headshot accuracy · +7ms reaction

Win rate 0pp 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 -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 561ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 558ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 554ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim9.4
Utility5.5
Positioning6.1
Opening Duels4.2
Clutch6.0

Sharp aimerExcellent counter-strafingLimited 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

sh1ro

Plays most like sh1ro 96% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

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

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

Aim9.4
Positioning6.1
Utility5.5
Mechanics8.8
Opening Duels6.2
Win Impact1.4

Composite 6.9/10 (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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time550ms+0ms
first ⅓ avg 549ms → last ⅓ avg 550ms
Headshot accuracy21.7%−1.4%
first ⅓ avg 23.1% → last ⅓ avg 21.7%

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

0.16Best match rating · 13–3 · nuke, 15 Sept →
57%Best headshot accuracy · 5–13 · mirage, 19 Sept →
406msFastest reaction time · 13–10 · anubis, 17 Oct →
13–2Biggest win · ancient, 27 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–1In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 57% over 7infernoWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
dust2D2910–1934%-0.01
cacheB1910–953%-0.01
infernoD154–1127%-0.02
mirageC114–736%-0.02
nukeA74–357%-0.01
ancientB63–350%0.01
overpass—44–0100%0.01
anubis—43–175%-0.02
train—31–233%0.01
vertigo—20–20%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,656Lifetime kills
0.97K/D
2,937Matches
46.7%Match win rate · Top 50% of Purple band
53.9%Headshot % · Top 25% of Purple band
7.3%Shot accuracy
6,511MVPs
1,194Hours (in match)
2,149Bombs planted
572Bombs defused

Most-used weapons

AK-4719,073
AWP3,528
MP91,325
HE Grenade668

Lifetime map wins

10,695dust2
2,858inferno
2,652nuke
759vertigo
433train
348cbble
71office
40italy

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

Faceit stats

Combat

66Matches
64%Win rate
0.96Avg K/D
78.8ADR
46%Headshot %

Clutches & streaks

50%1v1 clutch win
9%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage580%1.1117.2
Dust2475%0.8613.5
Overpass3100%1.2219.3
Nuke333%0.9013.3
Ancient2100%0.9413.5
Vertigo10%1.2922.0

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.

22.5%Headshot accuracy
39.3%Accuracy (enemy spotted)
42.4%Spray accuracy
89.5%Counter-strafing
6.4°Preaim
549msReaction time
62.1%T opening success
47.7%CT opening success
0.67Enemies flashed / flash
9.8%Flash assists
7.94HE damage / grenade
4.45Flashes / match

Recommended for you

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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0819%31 Oct →
nuke16–14-0.0213%31 Oct →
inferno13–3-0.0319%31 Oct →
inferno9–20.0618%31 Oct →
nuke6–9-0.1610%31 Oct →
inferno5–9-0.0719%31 Oct →
overpass13–100.0227%31 Oct →
inferno13–6-0.0014%31 Oct →
dust26–13-0.0721%31 Oct →
dust26–13-0.0513%28 Oct →
nuke9–9-0.0717%28 Oct →
train13–80.0514%28 Oct →
ancient13–20.0712%27 Oct →
dust211–20.0514%27 Oct →
dust27–130.0143%26 Oct →
inferno10–130.0235%26 Oct →
inferno4–13-0.0927%25 Oct →
mirage13–80.0133%24 Oct →
cache4–13-0.0924%24 Oct →
inferno5–13-0.0715%24 Oct →
mirage7–13-0.0521%24 Oct →
anubis12–12-0.0433%24 Oct →
vertigo7–13-0.0118%24 Oct →
dust29–130.0322%24 Oct →
nuke1–130.0231%23 Oct →
inferno13–30.1017%23 Oct →
dust212–12-0.0129%23 Oct →
cache10–13-0.0720%22 Oct →
dust29–130.0113%21 Oct →
cache7–130.0136%21 Oct →
mirage13–6-0.0024%19 Oct →
dust28–13-0.0233%19 Oct →
train9–13-0.0314%18 Oct →
inferno5–13-0.0214%18 Oct →
cache15–15-0.0218%18 Oct →
ancient13–60.0638%18 Oct →
inferno4–13-0.0816%18 Oct →
cache13–70.0622%18 Oct →
train8–130.0030%18 Oct →
dust24–13-0.0217%18 Oct →
overpass13–70.0314%17 Oct →
cache13–40.0518%17 Oct →
dust213–40.0418%17 Oct →
cache6–13-0.0721%17 Oct →
anubis13–8-0.0113%17 Oct →
anubis13–10-0.0413%17 Oct →
dust213–4-0.0215%17 Oct →
mirage12–120.0216%13 Oct →
cache13–80.0317%13 Oct →
ancient8–130.0417%13 Oct →
dust210–13-0.0920%12 Oct →
mirage5–13-0.1018%7 Oct →
overpass13–8-0.0413%7 Oct →
cache13–90.0314%5 Oct →
dust212–120.0223%4 Oct →
ancient13–60.0315%4 Oct →
inferno10–130.0123%3 Oct →
dust213–100.0524%2 Oct →
dust213–10-0.0420%1 Oct →
cache13–6-0.0318%1 Oct →
mirage3–13-0.0229%1 Oct →
dust26–130.0318%29 Sept →
cache6–130.0019%29 Sept →
cache13–70.0230%28 Sept →
dust213–8-0.0215%27 Sept →
mirage6–13-0.0217%27 Sept →
nuke13–50.0317%27 Sept →
cache13–10-0.034%27 Sept →
vertigo8–130.0011%25 Sept →
overpass13–110.0210%24 Sept →
dust20–13-0.090%24 Sept →
cache8–13-0.1015%23 Sept →
dust213–40.1123%23 Sept →
cache13–100.0030%23 Sept →
inferno5–90.027%23 Sept →
dust28–13-0.0633%22 Sept →
cache13–11-0.0224%22 Sept →
cache10–130.0125%21 Sept →
inferno11–130.0113%21 Sept →
dust213–110.0323%21 Sept →
mirage13–110.0622%20 Sept →
dust213–5-0.0421%20 Sept →
mirage8–13-0.0623%20 Sept →
inferno3–13-0.0735%19 Sept →
dust22–13-0.0144%19 Sept →
mirage5–13-0.0757%19 Sept →
anubis13–90.0325%18 Sept →
cache13–90.0219%16 Sept →
nuke13–30.1634%15 Sept →
cache12–120.0328%2 Sept →
inferno10–13-0.0521%31 Aug →
ancient5–13-0.0628%31 Aug →
dust210–13-0.0514%26 Aug →
nuke4–13-0.0322%23 Aug →
dust24–13-0.0923%19 Aug →
dust26–130.0223%18 Aug →
dust213–9-0.0135%18 Aug →
dust212–12-0.0529%17 Aug →
mirage13–100.0116%13 Aug →
dust24–13-0.0627%12 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
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.