Captain AwesomeZ

Captain AwesomeZ — CS2 Stats

76561198107166752[U:1:146901024]Steam profile ↗✓ No bans

2,807Tracked matches46%Win rate2020Tracked since
8,658Hours in CS29Hrs last 2 wks
CSDB Rating6.8 SolidSupport
FaceitLevel 10 · 2,731 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 2,807 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 51 days played since 2 Oct 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 24,550 -1,120 4 Mar2 Jul · 2 days played
24,55025,670peak 25,6704 Mar2 Jul
25,670Peak Premier in tracked matches
2,731Highest Faceit ELO seen on CSDB
51Days played since 2025-10-02

Faceit ELO

  • At peak — 2,731
  • Next: 3,000 ELO at 3,000 269 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-16
  • Level 10 first seen 2026-09-16

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=25,925), 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 rate57.2%51.0%
Shot accuracy16.2%13.7%
Kill/death ratio1.021.09
Match win rate45.5%48.4%

Share this profile

CSDB.GGCaptain AwesomeZFACEITLevel 10 · 2,731 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,731csdb.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

Aim90
Positioning60
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY54388Last 10054%Win rateWLLWWWLLLL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −3.1pp headshot accuracy · −49ms 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

  • 32 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 498ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 27%
  • Avg reaction 540ms

Last 20

  • 8111 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 28%
  • Avg reaction 564ms

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: SupportUtility contribution stands above the rest of this profile (+1.2 against its own average).

Aim9.0
Utility6.2
Positioning6.0
Opening Duels4.2
Clutch3.6

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 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 90 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 575ms 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

Aim9.0
Positioning6.0
Utility6.2
Mechanics7.5
Opening Duels3.2
Win Impact3.8

Composite 6.8/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time572ms−5ms
first ⅓ avg 577ms → last ⅓ avg 572ms
Headshot accuracy32.1%+3.5%
first ⅓ avg 28.6% → last ⅓ avg 32.1%

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 · 13–1 · ancient, 6 Feb
65%Best headshot accuracy · 13–4 · cache, 15 May
359msFastest reaction time · 4–13 · anubis, 15 Aug
13–1Biggest win · ancient, 6 Feb

Across the last 100 tracked matches.

Highlights

6Longest win streak
86In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 80% over 5infernoWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
cacheB22101245%0.03
ancientS2114767%0.02
anubisA169756%0.00
infernoD1331023%0.02
dust2B137654%0.02
overpassS54180%0.08
nuke42250%0.03
mirage330100%0.01
shelter1010%-0.03
train110100%0.03
transit110100%0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

385,683Lifetime kills
1.02K/D
12,530Matches
45.5%Match win rate
57.2%Headshot % · Top 25% of Level 10 players
16.2%Shot accuracy · Top 50% of Level 10 players
50,673MVPs
9,723Hours (in match)
7,857Bombs planted
10,361Bombs defused

Most-used weapons

AK-47175,066
AWP46,221
Glock-1814,468
P2504,467
Knife4,340
UMP-454,186
MP93,091

Lifetime map wins

24,072inferno
23,468dust2
3,938train
3,701vertigo
2,782nuke
2,765cbble
175office
121lake

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

Faceit stats

Combat

2,639Matches
53%Win rate
1.27Avg K/D
78.3ADR
50%Headshot %

Clutches & streaks

38%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient25952%1.1716.4
Dust217644%1.1216.6
Anubis16959%1.2017.4
Inferno13151%1.0815.6
Mirage8243%1.0716.2
Overpass5760%1.2616.9
Train3250%1.0116.1
Nuke2348%0.9716.1

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.

30.8%Headshot accuracy
38.1%Accuracy (enemy spotted)
40.7%Spray accuracy
83.8%Counter-strafing
10.1°Preaim
575msReaction time
41.6%T opening success
44.0%CT opening success
0.59Enemies flashed / flash
11.6%Flash assists
9.38HE damage / grenade
8.79Flashes / 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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–80.0421%28 Aug
inferno7–13-0.0021%18 Aug
anubis4–13-0.1014%15 Aug
ancient13–30.0333%15 Aug
dust213–100.0137%12 Aug
anubis13–7-0.0030%12 Aug
ancient11–13-0.0323%28 Jul
inferno22–250.0230%28 Jul
dust211–130.0023%25 Jul
inferno8–130.0434%25 Jul
anubis10–13-0.0037%25 Jul
cache10–13-0.0129%25 Jul
dust213–11-0.0429%18 Jul
ancient10–13-0.0026%18 Jul
cache13–6-0.0325%18 Jul
inferno6–130.0325%17 Jul
dust216–120.0729%17 Jul
ancient13–11-0.0230%17 Jul
anubis5–130.0134%12 Jul
cache12–120.0333%11 Jul
shelter5–13-0.0344%11 Jul
inferno13–80.1330%10 Jul
inferno9–130.0314%10 Jul
dust213–80.0638%2 Jul
cache12–12-0.0747%23 May
cache8–13-0.0343%16 May
cache13–10-0.0539%16 May
cache10–130.0728%15 May
cache13–60.0838%15 May
cache13–100.0842%15 May
cache13–110.0534%15 May
cache13–40.0665%15 May
cache12–120.0634%15 May
cache13–30.0416%15 May
cache12–120.1540%15 May
mirage13–20.0734%14 May
cache13–60.0724%14 May
cache10–130.0634%14 May
cache12–120.1535%30 Apr
cache11–130.0119%30 Apr
cache13–90.0934%30 Apr
cache12–12-0.0324%30 Apr
cache13–8-0.0424%30 Apr
cache12–120.0127%30 Apr
inferno10–13-0.0036%24 Apr
anubis13–10-0.0414%22 Apr
nuke10–130.0144%10 Apr
dust212–120.0144%10 Apr
train13–50.0334%10 Apr
anubis9–13-0.0726%10 Apr
ancient13–110.0718%9 Apr
ancient13–60.0425%3 Apr
dust217–190.0236%2 Apr
anubis8–13-0.0132%31 Mar
ancient13–6-0.0123%28 Mar
ancient16–14-0.0021%24 Mar
inferno14–16-0.0737%16 Mar
dust211–13-0.0421%15 Mar
ancient22–200.0531%14 Mar
anubis6–130.0220%14 Mar
dust24–130.0221%7 Mar
ancient6–130.0130%6 Mar
anubis13–70.0825%5 Mar
inferno13–60.0529%4 Mar
anubis13–80.0320%4 Mar
dust213–100.0527%4 Mar
ancient13–10-0.0127%3 Mar
nuke4–130.0631%3 Mar
dust213–80.0027%3 Mar
ancient3–13-0.0329%28 Feb
ancient13–6-0.0219%28 Feb
ancient13–9-0.0030%28 Feb
ancient9–130.0320%22 Feb
dust26–13-0.0240%22 Feb
mirage16–12-0.0219%21 Feb
inferno5–130.0220%19 Feb
overpass13–50.1438%19 Feb
anubis13–50.1528%19 Feb
anubis13–10-0.0136%19 Feb
anubis2–13-0.0633%19 Feb
ancient13–80.0057%19 Feb
ancient9–130.0633%18 Feb
overpass13–70.0318%18 Feb
ancient13–80.0428%18 Feb
anubis13–8-0.0125%9 Feb
mirage13–11-0.0221%6 Feb
ancient13–10.2138%6 Feb
anubis19–17-0.0130%29 Jan
overpass9–130.0024%29 Jan
nuke13–100.0131%17 Jan
nuke16–130.0519%16 Jan
overpass13–30.1522%16 Dec
inferno13–50.0017%14 Nov
ancient13–60.0825%19 Oct
overpass13–100.1030%17 Oct
ancient7–130.0123%17 Oct
inferno10–13-0.0324%12 Oct
dust213–90.0934%3 Oct
inferno10–13-0.0039%3 Oct
transit9–50.0936%2 Oct

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →