Lupus

Lupus — CS2 Stats

DK76561197974054020[U:1:13788292]Steam profile ↗✓ No bans

2,206Tracked matches40%Win rate2020Tracked since
4,125Hours in CS19Hrs last 2 wks
CSDB Rating3.6 LearningSupport
FaceitLevel 5 · 1,137 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 13,034 -660 24 Apr – 18 Jun · 6 days played
12,54714,691peak 14,69124 Apr18 Jun
14,999Peak Premier in tracked matches
1,137Highest Faceit ELO seen on CSDB
59Days played since 2025-11-15

Faceit ELO

  • At peak — 1,137
  • Next: Level 6 at 1,201 — 64 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

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 Level 5 among CSDB-tracked players (n=14,283), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate47.6%43.8%44.8%above
Shot accuracy13.9%12.0%12.4%above
Kill/death ratio0.881.021.030.15 short
Match win rate44.9%44.7%45.2%meets

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLupusFACEITLevel 5 · 1,137 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,137csdb.gg/stats

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Performance scores

Aim46
Positioning41
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY42–57–1Last 10042%Win rateWLLWLWWWLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −0.3pp headshot accuracy · −22ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 584ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 628ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 639ms

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 (+1.6 against its own average).

Aim4.6
Utility5.5
Positioning4.1
Opening Duels2.3
Clutch3.6

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 80% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower aim profile.

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

T-side openings. Opening success drops from 48% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 676ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.6
Positioning4.1
Utility5.5
Mechanics3.7
Opening Duels2.2
Win Impact1.7

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time674ms+10ms
first ⅓ avg 664ms → last ⅓ avg 674ms
Headshot accuracy18.4%−2.4%
first ⅓ avg 20.8% → last ⅓ avg 18.4%

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

0.09Best match rating · 16–12 · dust2, 9 May →
39%Best headshot accuracy · 8–13 · inferno, 10 Jun →
445msFastest reaction time · 13–5 · inferno, 18 Oct →
13–1Biggest win · dust2, 3 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–12In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 50% over 18anubisWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB2411–1346%-0.02
infernoD217–1433%-0.02
dust2B189–950%-0.02
ancientC125–742%-0.01
overpassC125–742%-0.02
anubisD82–625%-0.03
cache—22–0100%0.06
vertigo—11–0100%-0.03
mirage—10–10%0.05
train—10–10%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

114,061Lifetime kills
0.88K/D
6,574Matches
44.9%Match win rate · Top 50% of Level 5 players
47.6%Headshot % · Top 50% of Level 5 players
13.9%Shot accuracy · Top 50% of Level 5 players
10,891MVPs
3,595Hours (in match)
3,849Bombs planted
1,301Bombs defused

Most-used weapons

AK-4728,762
AWP16,188
XM10144,490
MAC-103,740
MP92,344

Lifetime map wins

17,105nuke
10,692inferno
4,834vertigo
4,720dust2
1,769train
892cbble
91office
60aztec

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

Faceit stats

Combat

2,046Matches
50%Win rate
0.96Avg K/D
68.5ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke19465%1.0114.6
Inferno18148%0.8714.0
Anubis12443%0.8512.5
Ancient11945%0.8814.2
Dust28241%0.8513.2
Vertigo5448%0.8913.0
Cache5046%0.8412.8
Overpass4250%0.8112.5

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.

18.4%Headshot accuracy
33.2%Accuracy (enemy spotted)
37.9%Spray accuracy
66.7%Counter-strafing
11.0°Preaim
676msReaction time
29.5%T opening success
47.8%CT opening success
0.58Enemies flashed / flash
4.9%Flash assists
8.48HE damage / grenade
8.97Flashes / 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. 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 29.4759% — below the 40% mark we flag

Spend your practice time on Anubis

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–5-0.0311%18 Oct →
inferno3–13-0.0411%13 Oct →
anubis12–16-0.0124%1 Oct →
inferno13–90.0324%29 Sept →
anubis4–13-0.0821%1 Sept →
cache13–60.0824%21 Aug →
dust213–6-0.0217%21 Aug →
ancient19–16-0.0211%20 Aug →
inferno11–13-0.0324%16 Aug →
nuke7–130.0013%15 Aug →
vertigo13–7-0.0310%15 Aug →
nuke8–13-0.0416%12 Aug →
nuke13–80.0420%11 Aug →
nuke11–13-0.0615%27 Jul →
dust26–13-0.0724%27 Jul →
inferno10–13-0.0523%26 Jul →
anubis9–13-0.0226%22 Jul →
inferno9–13-0.0222%21 Jul →
inferno19–17-0.0316%19 Jul →
anubis9–13-0.0111%19 Jul →
cache22–190.0422%16 Jul →
nuke5–13-0.0812%8 Jul →
dust213–10-0.019%5 Jul →
overpass13–11-0.0213%2 Jul →
dust29–130.0116%28 Jun →
nuke8–13-0.0420%26 Jun →
inferno14–16-0.0218%18 Jun →
nuke13–11-0.0022%18 Jun →
nuke5–13-0.0819%14 Jun →
inferno8–13-0.0139%10 Jun →
nuke14–16-0.0316%10 Jun →
ancient7–130.0612%7 Jun →
inferno13–11-0.0328%7 Jun →
overpass13–16-0.047%7 Jun →
ancient8–13-0.067%7 Jun →
ancient13–80.0311%4 Jun →
inferno13–6-0.0015%1 Jun →
dust213–6-0.0116%30 May →
overpass13–9-0.0717%29 May →
anubis11–13-0.0111%9 May →
inferno2–13-0.0817%9 May →
overpass14–16-0.0120%9 May →
ancient2–13-0.0115%9 May →
dust216–120.0917%9 May →
dust25–13-0.0428%7 May →
nuke13–8-0.0434%3 May →
ancient13–60.0517%3 May →
anubis10–13-0.0313%3 May →
overpass13–110.0329%3 May →
dust213–10.0819%3 May →
overpass10–130.0116%25 Apr →
inferno7–13-0.0319%25 Apr →
dust27–13-0.0811%25 Apr →
inferno13–6-0.0316%24 Apr →
inferno13–5-0.0326%24 Apr →
nuke10–13-0.0319%24 Apr →
dust213–5-0.0517%24 Apr →
dust211–130.0422%24 Apr →
nuke7–13-0.0513%24 Apr →
anubis13–11-0.0415%22 Apr →
dust213–10-0.0622%10 Apr →
anubis13–7-0.0112%10 Apr →
ancient8–13-0.0512%3 Apr →
dust28–13-0.086%3 Apr →
nuke13–10-0.0225%3 Apr →
nuke13–100.0329%31 Mar →
mirage11–130.0520%31 Mar →
dust21–13-0.0910%31 Mar →
ancient13–5-0.0417%30 Mar →
inferno11–13-0.0526%30 Mar →
nuke8–13-0.049%28 Mar →
nuke13–70.039%28 Mar →
inferno9–130.0119%28 Mar →
overpass7–13-0.070%28 Mar →
nuke13–6-0.0617%28 Mar →
ancient5–13-0.0527%23 Mar →
dust213–5-0.0430%23 Mar →
nuke13–8-0.0025%21 Mar →
nuke13–8-0.0127%27 Feb →
inferno5–13-0.0129%22 Feb →
overpass9–13-0.0315%21 Feb →
dust217–19-0.0214%14 Feb →
dust26–130.0014%30 Jan →
nuke11–13-0.0738%19 Jan →
inferno9–13-0.0418%10 Jan →
overpass13–11-0.0127%27 Dec →
ancient7–13-0.069%23 Dec →
nuke10–13-0.0024%23 Dec →
nuke13–10.0131%17 Dec →
ancient13–90.0226%8 Dec →
train11–13-0.0319%5 Dec →
overpass13–6-0.0122%30 Nov →
ancient6–13-0.0311%30 Nov →
nuke12–16-0.0219%25 Nov →
inferno5–13-0.0333%25 Nov →
nuke13–80.0238%20 Nov →
overpass10–13-0.0617%20 Nov →
inferno12–160.0119%15 Nov →
dust213–100.0527%15 Nov →
overpass15–150.0320%15 Nov →

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 →

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