Audi R8 Revolver

Audi R8 Revolver — CS2 Stats

DE76561199880342435[U:1:1920076707]Steam profile ↗✓ No bans

253Tracked matches73%Win rate2025Tracked since
260Hours in CS26Hrs last 2 wks
CSDB Rating7.4 StrongSupport
Premier CS Rating19,249Top 50% of 205,709 CSDB-tracked playersPurple band · top ~11.5% of ranked players (population est.)
CSDB Leaderboard#93419 of 252995 tracked
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+415Premier CS Rating · 18,834 → 19,249

Rating over time

Premier CS Rating: 19,249 -8 9 Jun – 18 Oct · 8 days played
18,53420,110peak 20,1109 Jun18 Oct
20,110Peak Premier in tracked matches
33Days played since 2026-06-09

Premier CS Rating

  • 861 below peak (20,110)
  • Next: Pink band at 20,000 — 751 to go
  • Reached: Pink band · 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 rate49.3%44.3%46.9%above
Shot accuracy0.0%11.9%13.0%13.0% short
Kill/death ratio1.201.031.08above
Match win rate56.5%45.2%46.7%above

This profile matches the typical Pink band player on 3 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.GGAudi R8 RevolverPREMIER19,249 · Purple bandcsdb.gg/stats

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Performance scores

Aim85
Positioning57
Utility68

0–100 skill scores via Leetify.

Recent form

HOT54–44–2Last 10054%Win rateWWLWWWWWWW

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · −0.5pp headshot accuracy · +13ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 516ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 530ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 524ms

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 (+1.1 against its own average).

Aim8.5
Utility6.8
Positioning5.7
Opening Duels4.7

Sharp aimer

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

NiKo

Plays most like NiKo 88% 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 85 — the mechanical foundation is a clear strength.

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

Aim8.5
Positioning5.7
Utility6.8
Mechanics7.8
Opening Duels5.4
Win Impact10.0

Composite 7.4/10 (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 rating0.05+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.05
Reaction time528ms−82ms
first ⅓ avg 610ms → last ⅓ avg 528ms
Headshot accuracy23.4%−2.5%
first ⅓ avg 25.9% → last ⅓ avg 23.4%

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

0.21Best match rating · 13–3 · cache, 13 Oct →
80%Best headshot accuracy · 1–13 · dust2, 24 Jun →
328msFastest reaction time · 6–13 · mirage, 1 Sept →
13–1Biggest win · mirage, 15 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
4–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 71% over 17officeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2S1712–571%-0.01
mirageB178–947%0.01
trainB115–645%-0.01
cacheS107–370%0.03
nukeD93–633%0.05
infernoA95–456%0.01
officeD72–529%0.04
ancientS75–271%0.04
anubisC52–340%0.01
vertigo—32–167%-0.02
italy—21–150%0.04
overpass—22–0100%0.04
debris—10–10%-0.03

Across the last 100 tracked matches.

Lifetime stats

8,274Lifetime kills
1.20K/D · Top 25% of Purple band
490Matches
56.5%Match win rate · Top 5% of Purple band
49.3%Headshot % · Top 50% of Purple band
0.0%Shot accuracy
1,512MVPs
152Hours (in match)
481Bombs planted
130Bombs defused

Most-used weapons

Lifetime map wins

878dust2
839inferno
304nuke
284office
186vertigo
155train
60italy
1ar_shoots

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.5%Headshot accuracy
34.2%Accuracy (enemy spotted)
39.0%Spray accuracy
84.9%Counter-strafing
9.1°Preaim
527msReaction time
47.3%T opening success
55.6%CT opening success
0.55Enemies flashed / flash
10.8%Flash assists
12.11HE damage / grenade
10.97Flashes / 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
dust213–30.0439%18 Oct →
cache13–90.0429%17 Oct →
dust25–13-0.0321%17 Oct →
vertigo13–3-0.0214%17 Oct →
nuke13–80.0320%17 Oct →
train13–8-0.0138%17 Oct →
inferno13–80.0516%16 Oct →
nuke13–20.1013%16 Oct →
anubis13–20.0319%16 Oct →
italy13–80.1223%16 Oct →
inferno3–13-0.0414%16 Oct →
mirage13–60.0318%16 Oct →
mirage13–10.0531%15 Oct →
mirage13–20.0314%15 Oct →
dust28–30.0627%15 Oct →
office13–20.1441%15 Oct →
dust25–13-0.0115%15 Oct →
cache8–130.0129%15 Oct →
dust213–70.0226%15 Oct →
mirage11–130.0520%14 Oct →
dust213–3-0.0150%14 Oct →
nuke13–50.2028%14 Oct →
ancient16–12-0.0219%14 Oct →
ancient13–80.1818%14 Oct →
inferno13–60.1626%14 Oct →
inferno9–70.0929%13 Oct →
cache13–30.2123%13 Oct →
dust210–10.0618%13 Oct →
cache5–130.0221%12 Oct →
vertigo5–13-0.0223%12 Oct →
debris8–8-0.0315%12 Oct →
mirage9–13-0.0120%12 Oct →
train11–13-0.0217%9 Oct →
mirage7–130.0926%9 Oct →
train2–13-0.118%8 Oct →
train0–5-0.0775%8 Oct →
dust213–4-0.0538%8 Oct →
office7–90.0529%7 Oct →
nuke11–130.0918%7 Oct →
anubis13–11-0.0211%7 Oct →
train13–30.0512%7 Oct →
train9–130.0228%7 Oct →
italy10–13-0.0458%1 Oct →
office5–13-0.0338%1 Oct →
mirage13–50.0417%1 Oct →
mirage3–13-0.0731%1 Oct →
mirage10–130.0531%1 Oct →
dust20–13-0.0650%1 Oct →
cache13–70.0522%29 Sept →
nuke9–13-0.0133%29 Sept →
vertigo13–9-0.0120%29 Sept →
ancient13–20.0026%10 Sept →
mirage3–130.0530%10 Sept →
mirage13–40.0616%10 Sept →
mirage1–13-0.1142%10 Sept →
anubis6–13-0.0331%6 Sept →
mirage4–13-0.0419%6 Sept →
office7–130.0324%2 Sept →
dust22–13-0.100%2 Sept →
dust213–4-0.0818%2 Sept →
office12–12-0.0226%2 Sept →
mirage6–13-0.0324%1 Sept →
dust213–1-0.0443%1 Sept →
cache13–9-0.0024%1 Sept →
office13–30.0923%1 Sept →
cache1–13-0.0544%28 Aug →
nuke0–6-0.030%10 Aug →
office9–130.0229%8 Jul →
inferno5–9-0.140%8 Jul →
anubis4–130.0133%5 Jul →
ancient3–130.002%5 Jul →
dust213–40.0937%5 Jul →
inferno5–130.0027%4 Jul →
nuke10–130.0422%3 Jul →
cache13–110.0427%2 Jul →
cache4–00.0267%2 Jul →
nuke9–130.0829%30 Jun →
dust213–4-0.0016%26 Jun →
nuke5–13-0.0123%25 Jun →
mirage13–10-0.0317%25 Jun →
cache13–10-0.0117%24 Jun →
dust21–13-0.0580%24 Jun →
train6–13-0.0450%24 Jun →
ancient13–8-0.0617%24 Jun →
train10–130.0423%23 Jun →
dust26–30.1326%23 Jun →
mirage10–0-0.0122%22 Jun →
overpass13–30.0519%22 Jun →
ancient7–130.1232%22 Jun →
train13–10-0.0142%17 Jun →
dust24–0-0.080%17 Jun →
inferno13–11-0.0114%17 Jun →
train13–70.0216%17 Jun →
train13–6-0.0122%16 Jun →
overpass13–60.0421%16 Jun →
inferno9–30.0827%10 Jun →
anubis9–130.0524%10 Jun →
ancient13–60.0231%10 Jun →
mirage13–80.0929%10 Jun →
inferno0–13-0.0814%9 Jun →

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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