Capi

Capi — CS2 Stats

76561198077359440[U:1:117093712]Steam profile ↗✓ No bans

1,482Tracked matches67%Win rate2020Tracked since
3,582Hours in CS9Hrs last 2 wks
CSDB Rating7.5 StrongPositional Player
Premier CS Rating25,163Red band · top ~2.9% of ranked players (population est.)
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGCapiFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER25,163 · Red bandcsdb.gg/stats

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Performance scores

Aim86
Positioning64
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateWLWLLWLWWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −0.7pp headshot accuracy · −4ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 489ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 476ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 478ms

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: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim8.6
Utility5.5
Positioning6.4
Opening Duels3.7
Clutch5.4

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

Twistzz

Plays most like Twistzz 94% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower 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 86 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.6
Positioning6.4
Utility5.5
Mechanics7.1
Opening Duels3.9
Win Impact10.0

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time476ms−76ms
first ⅓ avg 551ms → last ⅓ avg 476ms
Headshot accuracy17.9%−5.0%
first ⅓ avg 23.0% → last ⅓ avg 17.9%

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

0.16Best match rating · 8–2 · nuke, 1 Nov →
35%Best headshot accuracy · 6–13 · inferno, 29 Jul →
289msFastest reaction time · 2–13 · dust2, 28 Sept →
13–3Biggest win · ancient, 22 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–4In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 73% over 11infernoWeakest map · 12% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B2513–1252%-0.01
infernoD172–1512%-0.01
mirageA169–756%0.00
cacheB137–654%-0.01
anubisS118–373%0.01
ancientA106–460%0.02
nukeS64–267%0.05
train—11–0100%-0.03
vertigo—10–10%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (12% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

117,323Lifetime kills
1.06K/D
5,253Matches
45.4%Match win rate
49.2%Headshot %
16.1%Shot accuracy
13,525MVPs
3,504Hours (in match)
3,890Bombs planted
1,413Bombs defused

Most-used weapons

AK-4741,798
AWP4,709
Knife2,808
SSG 082,375
UMP-452,041

Lifetime map wins

8,682dust2
7,196vertigo
4,149inferno
2,523nuke
1,328train
574office
304cbble
223lake

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

Faceit stats

Combat

182Matches
59%Win rate
1.27Avg K/D
85.2ADR
50%Headshot %

Clutches & streaks

47%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1856%1.1216.9
Ancient1560%1.2616.5
Anubis1464%1.3716.7
Vertigo1377%1.4318.3
Inferno1060%1.1014.8
Dust21070%1.0417.3
Nuke617%0.9115.5
Overpass475%1.1414.0

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.

17.2%Headshot accuracy
36.4%Accuracy (enemy spotted)
41.2%Spray accuracy
82.0%Counter-strafing
8.8°Preaim
467msReaction time
43.8%T opening success
47.3%CT opening success
0.67Enemies flashed / flash
3.2%Flash assists
7.57HE damage / grenade
9.59Flashes / 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.

12% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–70.0714%13 Nov →
inferno8–13-0.0718%13 Nov →
train13–8-0.0322%11 Nov →
dust28–13-0.0224%11 Nov →
dust29–13-0.0114%8 Nov →
mirage13–10-0.0118%8 Nov →
cache5–13-0.086%8 Nov →
mirage13–40.1114%8 Nov →
mirage13–70.1120%5 Nov →
mirage13–100.0331%5 Nov →
mirage8–13-0.0119%3 Nov →
inferno3–50.0633%1 Nov →
nuke8–20.1633%1 Nov →
dust213–8-0.0413%1 Nov →
ancient13–50.0116%1 Nov →
inferno9–130.0313%1 Nov →
cache10–13-0.0713%1 Nov →
ancient13–110.0418%31 Oct →
ancient4–00.0417%31 Oct →
anubis13–60.0412%31 Oct →
dust28–13-0.0316%29 Oct →
mirage13–110.0116%26 Oct →
dust213–11-0.0013%26 Oct →
inferno6–130.0115%24 Oct →
anubis13–100.0014%24 Oct →
anubis13–8-0.0321%24 Oct →
nuke13–100.0117%23 Oct →
ancient13–60.0917%22 Oct →
ancient13–30.0118%22 Oct →
nuke13–40.1117%21 Oct →
dust213–110.0217%20 Oct →
inferno8–13-0.0320%20 Oct →
cache13–70.0424%20 Oct →
dust21–13-0.0323%19 Oct →
mirage13–30.0211%18 Oct →
inferno13–100.0431%17 Oct →
cache8–13-0.0322%14 Oct →
inferno5–13-0.1011%14 Oct →
nuke9–13-0.0515%13 Oct →
cache13–9-0.0118%13 Oct →
inferno7–130.019%13 Oct →
inferno10–13-0.0316%11 Oct →
dust213–90.0212%11 Oct →
cache16–13-0.0119%8 Oct →
dust213–60.0918%8 Oct →
inferno7–13-0.0526%3 Oct →
anubis10–130.0412%3 Oct →
anubis13–60.0428%2 Oct →
mirage5–4-0.1214%2 Oct →
dust210–130.0118%1 Oct →
dust213–3-0.0326%1 Oct →
dust27–13-0.0917%30 Sept →
inferno7–130.0716%30 Sept →
inferno13–70.0329%28 Sept →
inferno10–13-0.0115%28 Sept →
ancient3–13-0.0517%28 Sept →
inferno9–13-0.0310%28 Sept →
dust22–13-0.0512%28 Sept →
anubis13–4-0.0211%20 Sept →
ancient3–13-0.0823%16 Sept →
anubis13–80.0117%9 Sept →
inferno11–13-0.0419%9 Sept →
cache13–160.0118%9 Sept →
ancient13–80.1226%8 Sept →
cache12–16-0.0715%4 Sept →
dust213–100.0315%2 Sept →
ancient10–13-0.0021%2 Sept →
mirage13–90.0113%2 Sept →
dust213–8-0.0125%2 Sept →
cache13–30.0726%1 Sept →
dust213–10-0.0617%27 Aug →
mirage5–13-0.0624%27 Aug →
dust23–130.0119%26 Aug →
dust213–70.0726%26 Aug →
mirage13–100.0527%26 Aug →
vertigo11–13-0.0326%25 Aug →
mirage5–13-0.0835%25 Aug →
anubis6–13-0.0418%24 Aug →
cache13–100.0423%24 Aug →
dust21–13-0.0924%24 Aug →
mirage13–16-0.0221%14 Aug →
mirage10–130.0020%14 Aug →
dust26–13-0.0320%12 Aug →
mirage15–15-0.0318%11 Aug →
dust213–11-0.0227%29 Jul →
nuke10–13-0.0124%29 Jul →
inferno6–13-0.0235%29 Jul →
dust210–13-0.0213%28 Jul →
anubis12–30.0819%28 Jul →
anubis13–40.0324%28 Jul →
cache13–80.1029%28 Jul →
dust213–50.0729%24 Jul →
nuke13–70.0921%24 Jul →
ancient11–13-0.0114%24 Jul →
dust27–13-0.0527%23 Jul →
inferno6–13-0.0219%23 Jul →
anubis2–13-0.0431%23 Jul →
mirage9–130.0110%23 Jul →
cache13–10-0.0326%21 Jul →
cache10–13-0.0527%21 Jul →

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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