-Cap1ainCrazyツ

-Cap1ainCrazyツ — CS2 Stats

BR76561198217913891[U:1:257648163]Steam profile ↗✓ No bans

1,803Tracked matches62%Win rate2020Tracked since
3,572Hours in CS
CSDB Rating7.2 StrongSupport
Premier CS Rating19,050Purple band · top ~12.3% of ranked players (population est.)
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GG-Cap1ainCrazyツFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER19,050 · Purple bandcsdb.gg/stats

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Performance scores

Aim79
Positioning62
Utility80

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWWLWLLWWLT

Last 10 vs previous 10: −20pp win rate · +0.06 avg rating · +1.0pp headshot accuracy · +45ms reaction

Win rate down 20pp 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 (+0.06), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 627ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 601ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 579ms

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 (+3.5 against its own average).

Aim7.9
Utility8.0
Positioning6.2
Opening Duels1.5
Clutch2.4

Effective flashesHigh utility contribution

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 71% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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. 62% T opening-duel success — entries that actually open the round.

Utility. Utility score of 80 — grenade impact well above the norm.

Areas to improve

CT openings. Opening success drops from 62% on T to 31% on CT — first contacts on the defending side are being lost.

Reaction time. 566ms 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

Aim7.9
Positioning6.2
Utility8.0
Mechanics6.8
Opening Duels4.2
Win Impact9.0

Composite 7.2/10 (Strong), 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 rating0.02+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time561ms+50ms
first ⅓ avg 511ms → last ⅓ avg 561ms
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

0.26Best match rating · 9–1 · inferno, 3 Oct →
45%Best headshot accuracy · 13–7 · cache, 9 Oct →
391msFastest reaction time · 11–13 · inferno, 9 Oct →
13–0Biggest win · mirage, 26 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
8–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 57% over 7mirageWeakest map · 41% over 17
MapGradePlayedRecordWin rateAvg rating
infernoB4623–2350%0.02
dust2B199–1047%0.01
mirageC177–1041%0.00
nukeA74–357%0.02
cacheA74–357%0.01
anubis—32–167%0.04
ancient—10–10%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (41% over 17). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

146,270Lifetime kills
1.03K/D
6,726Matches
45.7%Match win rate
47.2%Headshot %
12.2%Shot accuracy
17,489MVPs
3,572Hours (in match)
10,267Bombs planted
2,085Bombs defused

Most-used weapons

AK-4750,360
AWP26,227
FAMAS2,919
Knife2,354
P2501,735

Lifetime map wins

21,439dust2
17,236inferno
1,642nuke
1,274train
1,017vertigo
486cbble
33dust
20ar_shoots

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

Faceit stats

Combat

2,251Matches
50%Win rate
1.06Avg K/D
77.6ADR
46%Headshot %

Clutches & streaks

32%1v1 clutch win
25%1v2 clutch win
14Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage13746%0.9814.6
Dust28745%1.0315.8
Ancient7352%1.0814.4
Anubis5452%0.9214.5
Inferno3355%1.1115.6
Nuke1850%0.9615.1
Vertigo1362%1.2316.6
Train450%1.1920.0

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.

22.0%Headshot accuracy
34.5%Accuracy (enemy spotted)
33.4%Spray accuracy
80.4%Counter-strafing
8.1°Preaim
566msReaction time
62.0%T opening success
31.5%CT opening success
0.73Enemies flashed / flash
6.4%Flash assists
10.89HE damage / grenade
20.43Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 31.4909% — below the 40% mark we flag

Spend your practice time on Mirage

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

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–90.0922%15 Nov →
dust213–50.0723%15 Nov →
inferno1–13-0.1010%14 Nov →
inferno13–20.0930%14 Nov →
inferno11–13-0.0110%8 Nov →
inferno11–130.0232%8 Nov →
inferno5–00.2443%8 Nov →
inferno13–40.0623%8 Nov →
ancient4–13-0.0220%24 Oct →
inferno15–15-0.0121%24 Oct →
inferno16–13-0.0719%23 Oct →
inferno13–80.0331%23 Oct →
nuke13–5-0.0427%22 Oct →
inferno13–4-0.0033%21 Oct →
cache13–110.0125%21 Oct →
cache6–13-0.0614%18 Oct →
inferno5–13-0.0221%18 Oct →
mirage13–110.0415%18 Oct →
mirage11–13-0.0322%18 Oct →
nuke13–100.0116%18 Oct →
dust213–60.0927%18 Oct →
nuke8–13-0.0335%17 Oct →
nuke13–10.1529%17 Oct →
inferno8–13-0.0415%17 Oct →
dust26–130.019%17 Oct →
dust213–40.0120%17 Oct →
cache13–30.0620%17 Oct →
anubis3–20.1336%17 Oct →
mirage8–130.0326%17 Oct →
cache13–100.0317%16 Oct →
inferno13–20.1127%16 Oct →
dust23–13-0.0514%16 Oct →
dust214–16-0.0318%15 Oct →
mirage13–160.0017%15 Oct →
mirage13–80.0320%14 Oct →
inferno14–160.0522%14 Oct →
inferno13–4-0.038%14 Oct →
mirage5–130.0625%11 Oct →
mirage14–160.0830%10 Oct →
dust213–50.1029%10 Oct →
inferno16–14-0.0328%10 Oct →
dust214–16-0.0129%10 Oct →
dust213–40.0626%10 Oct →
inferno13–7-0.0315%10 Oct →
inferno11–13-0.0434%9 Oct →
anubis10–130.026%9 Oct →
dust213–40.0621%9 Oct →
dust213–8-0.0411%9 Oct →
cache13–70.0745%9 Oct →
dust26–13-0.0228%9 Oct →
mirage13–90.0419%8 Oct →
nuke15–15-0.0212%8 Oct →
mirage9–130.0516%8 Oct →
nuke1–7-0.049%5 Oct →
inferno13–110.0415%5 Oct →
dust28–13-0.0118%5 Oct →
dust210–130.1021%5 Oct →
mirage13–5-0.0216%5 Oct →
mirage5–13-0.0719%5 Oct →
mirage13–8-0.0212%5 Oct →
inferno13–30.1321%5 Oct →
mirage4–13-0.0018%4 Oct →
cache3–13-0.0427%4 Oct →
cache7–130.0226%4 Oct →
inferno10–130.0023%4 Oct →
inferno9–50.0321%4 Oct →
inferno2–9-0.230%4 Oct →
dust213–100.0133%4 Oct →
dust213–10-0.0124%3 Oct →
mirage8–13-0.0523%3 Oct →
inferno3–9-0.1025%3 Oct →
inferno9–60.0617%3 Oct →
inferno9–10.2625%3 Oct →
dust20–7-0.100%2 Oct →
dust23–130.0129%2 Oct →
mirage13–16-0.086%26 Sept →
mirage13–8-0.0527%26 Sept →
mirage13–00.0722%26 Sept →
anubis13–6-0.0214%26 Sept →
inferno3–13-0.0129%26 Sept →
inferno5–13-0.0224%8 Sept →
inferno4–13-0.0329%7 Sept →
inferno12–120.0431%7 Sept →
inferno13–50.0533%7 Sept →
inferno6–130.0719%5 Sept →
inferno10–130.0224%30 Aug →
inferno13–50.0319%30 Aug →
inferno13–4-0.0228%30 Aug →
inferno11–130.0918%29 Aug →
inferno13–80.0929%29 Aug →
dust27–130.0230%27 Aug →
inferno13–60.0828%26 Aug →
inferno13–110.0229%26 Aug →
inferno2–00.000%26 Aug →
inferno4–13-0.1025%25 Aug →
inferno10–130.0713%22 Aug →
inferno13–110.0418%22 Aug →
inferno12–12-0.0311%22 Aug →
inferno11–130.0417%9 Aug →
inferno5–130.0422%9 Aug →

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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