rupert

rupert — CS2 Stats

76561198204370984[U:1:244105256]Steam profile ↗✓ No bans

299Tracked matches57%Win rate2020Tracked since
CSDB Rating6.8 SolidPositional Player
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

+5Tracked matches · now 299
0.0ppWin rate · 56.7% → 56.7%

Rating over time

41Days played since 2026-07-25

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGrupertFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning60
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY55–45Last 10055%Win rateLWWWLLWWLL

Last 10 vs previous 10: −10pp win rate · −0.06 avg rating · −5.2pp headshot accuracy · +21ms 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 -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 572ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 557ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 547ms

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 (+1.8 against its own average).

Aim8.1
Utility5.5
Positioning6.0
Opening Duels2.2
Clutch3.0

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

b1t

Plays most like b1t 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.0° off target when enemies appear — placement, not flicking, is the bigger win available.

CT openings. Opening success drops from 63% on T to 43% on CT — first contacts on the defending side are being lost.

Reaction time. 562ms 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

Aim8.1
Positioning6.0
Utility5.5
Mechanics7.3
Opening Duels5.7
Win Impact7.2

Composite 6.8/10 (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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time556ms−58ms
first ⅓ avg 614ms → last ⅓ avg 556ms
Headshot accuracy23.2%−3.8%
first ⅓ avg 27.0% → last ⅓ avg 23.2%

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

0.18Best match rating · 13–5 · anubis, 17 Oct →
46%Best headshot accuracy · 4–13 · dust2, 26 Jul →
391msFastest reaction time · 12–16 · mirage, 18 Oct →
13–2Biggest win · dust2, 8 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
18–7In matches decided by ≤2 rounds
17Overtime games

Map breakdown

cacheBest map · 74% over 19infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
anubisA2818–1064%-0.01
mirageC2310–1343%-0.02
cacheS1914–574%0.00
infernoD103–730%-0.01
dust2A106–460%0.00
nukeC52–340%0.02
ancientC52–340%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

364Matches
52%Win rate
1.03Avg K/D
73.3ADR
54%Headshot %

Clutches & streaks

35%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis5463%1.0716.2
Mirage4842%0.8713.0
Cache3262%1.0916.3
Dust22846%0.8513.2
Inferno2255%1.0015.7
Ancient1650%1.0617.2
Nuke1155%1.0112.7

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.

23.1%Headshot accuracy
35.4%Accuracy (enemy spotted)
39.0%Spray accuracy
82.7%Counter-strafing
10.0°Preaim
562msReaction time
63.1%T opening success
42.8%CT opening success
0.53Enemies flashed / flash
9.6%Flash assists
8.12HE damage / grenade
9.60Flashes / 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.0620%19 Oct →
anubis13–70.0117%19 Oct →
anubis16–14-0.0420%18 Oct →
anubis13–4-0.0415%18 Oct →
mirage12–16-0.0523%18 Oct →
inferno5–13-0.0328%18 Oct →
dust213–80.0118%18 Oct →
anubis13–11-0.0214%18 Oct →
nuke5–13-0.0730%17 Oct →
anubis11–130.0130%17 Oct →
mirage13–11-0.0312%17 Oct →
cache13–80.0825%17 Oct →
mirage12–16-0.0338%17 Oct →
anubis13–50.1824%17 Oct →
anubis8–130.0132%17 Oct →
cache13–90.0834%14 Oct →
anubis17–19-0.0119%14 Oct →
inferno13–70.0332%14 Oct →
mirage16–14-0.0420%13 Oct →
inferno11–130.0330%13 Oct →
dust213–110.007%12 Oct →
cache13–11-0.0418%12 Oct →
mirage19–17-0.0319%12 Oct →
cache10–13-0.0230%12 Oct →
anubis13–70.0129%11 Oct →
anubis13–100.0413%11 Oct →
mirage6–13-0.0621%11 Oct →
inferno11–13-0.0126%10 Oct →
mirage13–60.0331%10 Oct →
cache6–13-0.0329%9 Oct →
anubis13–70.0121%8 Oct →
inferno8–130.0221%7 Oct →
mirage5–13-0.0423%6 Oct →
inferno12–16-0.0225%5 Oct →
nuke10–13-0.0225%4 Oct →
mirage2–13-0.0814%4 Oct →
inferno13–11-0.0121%4 Oct →
anubis13–7-0.0318%4 Oct →
anubis9–13-0.0316%4 Oct →
anubis13–8-0.0418%4 Oct →
mirage6–130.0317%3 Oct →
mirage3–13-0.0227%3 Oct →
inferno10–13-0.0715%3 Oct →
anubis19–17-0.0021%3 Oct →
anubis13–40.0225%3 Oct →
cache16–14-0.0228%29 Sept →
cache6–13-0.0529%28 Sept →
anubis13–11-0.0528%28 Sept →
nuke11–13-0.0432%28 Sept →
anubis7–13-0.0212%28 Sept →
anubis16–130.0119%27 Sept →
cache22–19-0.0225%27 Sept →
cache13–110.0420%26 Sept →
anubis13–9-0.0418%26 Sept →
cache13–10-0.0318%26 Sept →
mirage13–160.0232%26 Sept →
mirage13–10-0.0129%25 Sept →
inferno9–13-0.059%22 Sept →
cache13–11-0.0331%15 Sept →
anubis6–13-0.0425%13 Sept →
dust29–13-0.0222%13 Sept →
cache13–40.0141%12 Sept →
anubis13–40.0422%12 Sept →
mirage13–11-0.0124%12 Sept →
dust27–13-0.0611%11 Sept →
mirage9–13-0.0426%11 Sept →
anubis13–6-0.0229%8 Sept →
dust213–2-0.0225%8 Sept →
dust213–110.0226%1 Sept →
anubis9–13-0.0231%31 Aug →
cache10–13-0.0223%31 Aug →
mirage10–13-0.0028%28 Aug →
cache7–13-0.0233%28 Aug →
cache13–90.0640%27 Aug →
dust213–90.0126%27 Aug →
ancient5–13-0.086%23 Aug →
ancient13–110.0532%22 Aug →
cache13–100.0630%22 Aug →
anubis29–31-0.0228%22 Aug →
dust213–60.0523%22 Aug →
ancient13–16-0.0041%22 Aug →
cache13–70.0015%22 Aug →
cache19–170.0221%16 Aug →
nuke13–60.0931%16 Aug →
ancient13–110.0229%15 Aug →
mirage13–100.0226%13 Aug →
cache13–10-0.0015%31 Jul →
mirage13–6-0.0119%31 Jul →
mirage9–13-0.0323%29 Jul →
anubis13–70.0529%28 Jul →
anubis6–13-0.0231%27 Jul →
mirage16–13-0.0126%27 Jul →
ancient10–13-0.0116%26 Jul →
nuke13–50.1545%26 Jul →
mirage13–2-0.0319%26 Jul →
mirage9–13-0.0327%26 Jul →
dust24–130.0046%26 Jul →
inferno13–50.0523%25 Jul →
mirage2–13-0.0433%25 Jul →
dust215–190.0225%25 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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