Alucard

Alucard — CS2 Stats

CH76561198062932860[U:1:102667132]Steam profile ↗✓ No bans

4,606Tracked matches37%Win rate2020Tracked since
14,167Hours in CS37Hrs last 2 wks
CSDB Rating6.6 SolidSupport
Premier CS Rating22,649Top 25% of 213,211 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)
CSDB Leaderboard#47910 of 259898 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 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: 22,649 -1,013 28 Aug – 3 Nov · 32 days played
22,64926,242peak 26,24228 Aug3 Nov
26,242Peak Premier in tracked matches
26Days played since 2026-08-28

Premier CS Rating

  • 3,593 below peak (26,242)
  • -1,096 over 30 days · declining
  • Next: Red band at 25,000 — 2,351 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-10-15
  • Pink band first seen 2026-08-28

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 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate54.6%48.2%50.9%above
Shot accuracy23.4%13.2%13.7%above
Kill/death ratio0.711.071.090.38 short
Match win rate42.9%46.9%48.4%5.5% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAlucardFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER22,649 · Pink 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

Aim88
Positioning54
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateLLLWLWLWWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +4.6pp headshot accuracy · −44ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 27%
  • Avg reaction 545ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 27%
  • Avg reaction 577ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 599ms

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 (+0.8 against its own average).

Aim8.8
Utility6.0
Positioning5.4
Opening Duels3.2
Clutch6.0

Sharp aimerStrong 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

NiKo

Plays most like NiKo 96% playstyle similarity

Most alike: aim profile, utility contribution.

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 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Reaction time. 599ms 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

Aim8.8
Positioning5.4
Utility6.0
Mechanics8.4
Opening Duels4.9
Win Impact0.6

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time600ms+17ms
first ⅓ avg 583ms → last ⅓ avg 600ms
Headshot accuracy23.3%+1.3%
first ⅓ avg 22.0% → last ⅓ avg 23.3%

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

0.10Best match rating · 13–2 · anubis, 4 Oct →
60%Best headshot accuracy · 0–13 · nuke, 20 Sept →
406msFastest reaction time · 9–13 · anubis, 1 Nov →
13–2Biggest win · mirage, 2 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
6–11In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 70% over 10dust2Weakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB2210–1245%-0.01
ancientB209–1145%0.02
cacheB147–750%-0.01
mirageC125–742%-0.01
dust2D112–918%-0.00
anubisS107–370%0.01
nukeA85–363%-0.01
overpass—21–150%-0.02
vertigo—10–10%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

536,708Lifetime kills
0.71K/D
14,708Matches
42.9%Match win rate
54.6%Headshot % · Top 25% of Level 9 players
23.4%Shot accuracy · Top 1% of Level 9 players
33,039MVPs
41,166Hours (in match)
7,497Bombs planted
3,256Bombs defused

Most-used weapons

AK-47267,273
AWP34,069
P2507,618
UMP-457,061
FAMAS5,390

Lifetime map wins

21,969inferno
9,963nuke
9,693train
8,635dust2
6,940militia
5,707cbble
5,558vertigo
213assault

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

Faceit stats

Combat

3,200Matches
51%Win rate
0.95Avg K/D
80.5ADR
42%Headshot %

Clutches & streaks

50%1v1 clutch win
31%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient7753%0.9113.6
Anubis6748%0.9314.2
Overpass5263%0.9314.2
Nuke3845%0.9113.9
Vertigo3644%0.9315.2
Mirage1346%0.9012.3
Dust2956%0.9414.7
Inferno650%0.8513.0

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.

22.8%Headshot accuracy
39.7%Accuracy (enemy spotted)
41.3%Spray accuracy
87.8%Counter-strafing
8.8°Preaim
599msReaction time
43.2%T opening success
55.8%CT opening success
0.57Enemies flashed / flash
10.2%Flash assists
13.32HE damage / grenade
6.41Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient8–13-0.0218%3 Nov →
inferno11–130.0123%3 Nov →
ancient6–130.0423%3 Nov →
nuke7–0-0.0650%3 Nov →
mirage8–130.0020%2 Nov →
anubis13–5-0.0132%2 Nov →
inferno9–13-0.0231%2 Nov →
mirage13–2-0.0027%2 Nov →
inferno13–6-0.0321%2 Nov →
inferno7–130.0428%1 Nov →
cache12–16-0.0833%1 Nov →
anubis13–60.0317%1 Nov →
cache13–30.0521%1 Nov →
anubis9–13-0.0122%1 Nov →
mirage13–4-0.049%1 Nov →
mirage2–13-0.0628%1 Nov →
nuke9–13-0.0219%31 Oct →
dust27–13-0.0118%29 Oct →
mirage13–90.0421%29 Oct →
mirage3–13-0.1038%29 Oct →
cache11–130.0124%29 Oct →
overpass10–13-0.0817%25 Oct →
dust210–13-0.0220%25 Oct →
dust27–13-0.0121%25 Oct →
dust211–130.0221%25 Oct →
inferno5–1-0.0126%25 Oct →
inferno6–13-0.0215%25 Oct →
anubis3–13-0.0219%18 Oct →
overpass13–100.0511%18 Oct →
ancient13–90.0333%18 Oct →
ancient13–60.0626%18 Oct →
nuke13–90.0520%18 Oct →
inferno8–13-0.0619%18 Oct →
mirage15–15-0.0423%15 Oct →
ancient8–130.0318%15 Oct →
inferno13–110.0023%15 Oct →
ancient11–130.0525%13 Oct →
nuke13–90.0314%13 Oct →
ancient6–13-0.0120%13 Oct →
inferno11–130.0024%12 Oct →
cache11–130.0344%12 Oct →
anubis13–100.0233%11 Oct →
dust213–40.0832%11 Oct →
cache16–140.0120%11 Oct →
dust210–130.0833%11 Oct →
cache11–13-0.0530%10 Oct →
cache13–100.0821%10 Oct →
inferno13–100.0427%10 Oct →
mirage13–90.0429%10 Oct →
inferno16–130.0321%10 Oct →
inferno13–90.0540%8 Oct →
ancient8–130.0222%8 Oct →
cache13–7-0.0522%8 Oct →
ancient13–100.0314%8 Oct →
dust26–13-0.0721%4 Oct →
mirage15–150.0231%4 Oct →
anubis13–20.1014%4 Oct →
ancient4–130.0326%4 Oct →
inferno11–13-0.0730%4 Oct →
ancient13–30.0530%4 Oct →
inferno8–13-0.0522%4 Oct →
ancient13–8-0.0114%1 Oct →
anubis13–10-0.0416%1 Oct →
inferno10–13-0.0326%29 Sept →
inferno7–13-0.047%28 Sept →
ancient13–60.0824%28 Sept →
dust28–130.0617%28 Sept →
dust213–20.0317%28 Sept →
mirage8–13-0.0228%28 Sept →
inferno13–11-0.0117%27 Sept →
ancient13–30.0416%27 Sept →
dust215–15-0.1024%27 Sept →
inferno9–13-0.0117%27 Sept →
mirage13–16-0.0518%26 Sept →
ancient16–13-0.0220%25 Sept →
nuke1–13-0.069%25 Sept →
inferno13–70.0213%25 Sept →
ancient13–70.0520%25 Sept →
nuke13–10-0.0310%25 Sept →
cache6–13-0.0624%25 Sept →
anubis8–130.0118%24 Sept →
cache11–13-0.0315%24 Sept →
dust26–13-0.0637%24 Sept →
nuke13–90.0235%21 Sept →
mirage13–110.0522%21 Sept →
anubis13–30.0525%21 Sept →
inferno7–13-0.0827%21 Sept →
vertigo5–13-0.0433%20 Sept →
nuke0–13-0.0360%20 Sept →
ancient11–130.0217%20 Sept →
cache13–11-0.0424%20 Sept →
ancient5–13-0.0432%14 Sept →
cache13–2-0.0219%14 Sept →
anubis13–7-0.0226%14 Sept →
inferno13–11-0.0118%14 Sept →
cache13–70.0117%14 Sept →
inferno13–100.0122%13 Sept →
ancient10–13-0.0120%13 Sept →
cache14–160.0522%13 Sept →
ancient5–13-0.048%12 Sept →

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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