al1ve

al1ve — CS2 Stats

DK76561198047702975[U:1:87437247]Steam profile ↗✓ No bans

1,572Tracked matches33%Win rate2020Tracked since
12,094Hours in CS11Hrs last 2 wks
CSDB Rating4.7 DevelopingSupport
FaceitLevel 10 · 2,236 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (34 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,236 → 2,236
+34Tracked matches · now 1,572
+6.7ppWin rate · 26.7% → 33.3%

Rating over time

Faceit ELO: 2,236 +0 30 Aug – 25 Sept · 2 observations
2,2362,236peak 2,23630 Aug25 Sept
2,236Highest Faceit ELO seen on CSDB
69Days played since 2024-09-03

Faceit ELO

  • At peak — 2,236
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 264 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-30
  • Level 9 first seen 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches4826+22
Win rate56%31%+25pp
K/D0.850.87−0.02
Headshot %40%44%−4pp

Measured 25 Sep 2026 → 29 Oct 2026; previous 30 Aug 2026 → 25 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate43.0%50.9%
Shot accuracy18.8%13.7%
Kill/death ratio0.891.09
Match win rate47.1%48.4%

Share this profile

CSDB.GGal1veFACEITLevel 10 · 2,236 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO2,236csdb.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

Aim74
Positioning46
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY42–54–4Last 10042%Win rateLLWWWLWLLL

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −5.4pp headshot accuracy · −76ms 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 433ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 441ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 479ms

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 (+1.5 against its own average).

Aim7.4
Utility5.8
Positioning4.6
Opening Duels3.5
Clutch3.4

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

ZywOo

Plays most like ZywOo 95% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

Counter-strafing. Only 62% 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

Aim7.4
Positioning4.6
Utility5.8
Mechanics2.6
Opening Duels3.2
Win Impact0.0

Composite 4.7/10 (Developing), 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 time485ms−54ms
first ⅓ avg 540ms → last ⅓ avg 485ms
Headshot accuracy22.8%+1.0%
first ⅓ avg 21.8% → last ⅓ avg 22.8%

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

0.12Best match rating · 13–3 · nuke, 7 Oct →
53%Best headshot accuracy · 6–13 · dust2, 9 Aug →
313msFastest reaction time · 13–3 · train, 17 Dec →
13–1Biggest win · dust2, 16 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
5–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 57% over 7infernoWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageC197–1237%0.00
trainB1910–953%0.01
nukeC187–1139%0.01
dust2D155–1033%-0.01
infernoD123–925%0.00
cacheA74–357%0.02
overpass—42–250%-0.00
ancient—32–167%0.00
anubis—21–150%0.01
vertigo—11–0100%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

213,887Lifetime kills
0.89K/D
9,471Matches
47.1%Match win rate
43.0%Headshot %
18.8%Shot accuracy · Top 10% of Level 10 players
30,185MVPs
5,074Hours (in match)
10,662Bombs planted
5,696Bombs defused

Most-used weapons

AK-4764,539
AWP58,108
Knife5,165
P2503,656
SSG 082,764
MAC-102,383

Lifetime map wins

12,765nuke
12,151inferno
11,994train
9,593dust2
6,925vertigo
2,583cbble
71lake
46aztec

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

Faceit stats

Combat

4,265Matches
53%Win rate
0.96Avg K/D
74.6ADR
40%Headshot %

Clutches & streaks

37%1v1 clutch win
16%1v2 clutch win
14Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage21246%1.0215.0
Nuke11858%1.1215.7
Dust211748%0.9114.2
Anubis9250%1.0215.2
Ancient6943%0.8713.9
Inferno6856%1.0015.5
Vertigo4363%1.0314.9
Overpass4068%1.1015.9

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.

22.9%Headshot accuracy
34.6%Accuracy (enemy spotted)
35.6%Spray accuracy
61.8%Counter-strafing
8.6°Preaim
487msReaction time
36.3%T opening success
48.9%CT opening success
0.57Enemies flashed / flash
8.4%Flash assists
9.91HE damage / grenade
12.18Flashes / 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 36.2992% — below the 40% mark we flag

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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–13-0.046%20 Oct →
dust27–13-0.0244%20 Oct →
cache13–7-0.0320%8 Oct →
mirage13–110.0031%4 Oct →
vertigo13–40.0020%2 Oct →
inferno13–16-0.0330%6 Sept →
mirage13–50.023%5 Sept →
nuke7–13-0.0711%5 Sept →
nuke8–13-0.0324%5 Sept →
inferno11–13-0.0110%4 Sept →
dust29–13-0.0035%31 Aug →
mirage9–13-0.0121%31 Aug →
dust25–13-0.0442%29 Aug →
dust25–13-0.0114%25 Aug →
nuke14–160.0222%22 Aug →
cache8–13-0.0219%14 Aug →
dust26–130.0253%9 Aug →
mirage9–130.0211%6 Aug →
mirage5–13-0.0714%5 Jul →
dust213–110.0123%30 Jun →
dust213–110.0325%26 Jun →
mirage14–16-0.0110%22 Jun →
mirage13–90.0212%20 Jun →
inferno8–13-0.0119%12 Jun →
mirage11–130.0025%22 May →
inferno10–130.0027%18 May →
cache10–130.0448%16 May →
dust213–1-0.0333%16 May →
ancient13–70.0324%16 May →
mirage13–40.0115%16 May →
cache16–130.0521%13 May →
mirage10–130.0225%11 May →
inferno11–130.0619%10 May →
anubis10–130.0214%9 May →
cache10–130.0417%1 May →
cache13–70.1025%1 May →
cache13–10-0.0328%30 Apr →
nuke13–7-0.0143%4 Apr →
inferno13–40.0518%4 Apr →
nuke13–60.0318%26 Mar →
nuke9–130.0518%2 Mar →
inferno15–15-0.0118%28 Feb →
nuke13–50.0215%28 Feb →
mirage13–20.0820%28 Feb →
overpass8–13-0.0224%1 Jan →
overpass4–13-0.0217%21 Dec →
nuke10–130.0226%2 Oct →
nuke10–130.0522%25 Sept →
inferno5–13-0.0218%23 Sept →
inferno8–13-0.059%13 Sept →
dust26–13-0.0121%18 Aug →
overpass13–60.0428%25 Jul →
nuke13–110.0018%23 Jul →
dust213–9-0.0015%21 Jul →
inferno13–70.0121%20 Jul →
dust27–13-0.0614%20 May →
ancient13–90.0221%28 Apr →
nuke10–130.0126%27 Apr →
train9–130.0440%11 Apr →
mirage5–13-0.017%5 Apr →
mirage7–13-0.0222%31 Mar →
nuke13–8-0.0119%24 Mar →
dust28–13-0.0123%18 Mar →
mirage11–13-0.015%1 Mar →
mirage7–13-0.0440%27 Feb →
nuke7–13-0.0441%27 Feb →
train11–130.0927%27 Feb →
ancient11–13-0.0516%22 Feb →
nuke8–13-0.0232%22 Feb →
mirage13–20.0225%22 Feb →
anubis13–10-0.0113%19 Feb →
nuke16–190.0215%11 Feb →
nuke13–50.0817%28 Dec →
train13–6-0.0116%17 Dec →
train13–30.0225%17 Dec →
train5–13-0.0615%27 Nov →
train10–13-0.0630%27 Nov →
train8–130.0221%25 Nov →
train12–12-0.0211%25 Nov →
train12–12-0.0219%20 Nov →
train13–80.0417%20 Nov →
train8–130.0218%20 Nov →
train13–30.0328%19 Nov →
train13–70.0319%19 Nov →
train4–13-0.0516%19 Nov →
train13–80.0711%17 Nov →
train13–9-0.0632%17 Nov →
train13–11-0.0430%17 Nov →
train12–00.1025%17 Nov →
train13–9-0.0420%17 Nov →
inferno12–120.0213%24 Oct →
mirage11–130.0018%24 Oct →
dust29–130.0223%24 Oct →
mirage13–70.0229%14 Oct →
dust213–5-0.0038%14 Oct →
mirage10–130.0323%14 Oct →
overpass13–5-0.0039%7 Oct →
nuke13–30.1223%7 Oct →
nuke17–19-0.0115%20 Sept →
inferno13–50.0327%3 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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