ockap

ockap — CS2 Stats

AX76561198163720970[U:1:203455242]Steam profile ↗✓ No bans

886Tracked matches47%Win rate2020Tracked since
2,938Hours in CS
CSDB Rating5.0 DevelopingClutch Specialist
Premier CS Rating20,689Top 50% of 215,386 CSDB-tracked playersPink band · top ~7.7% of ranked players (population est.)
CSDB Leaderboard#74666 of 261569 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 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: 20,689 -1,168 2 Sept – 13 Nov · 29 days played
20,60023,528peak 23,5282 Sept13 Nov
24,096Peak Premier in tracked matches
34Days played since 2026-09-02

Premier CS Rating

  • 2,839 below peak (23,528)
  • -935 over 30 days · declining
  • Next: Red band at 25,000 — 4,311 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches91——
Win rate48%——
K/D0.96——
Headshot %43%——

Measured 16 Oct 2026 → 14 Nov 2026; no observation near 60 days ago, so there is no previous window yet.

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate36.5%46.9%49.3%12.8% short
Shot accuracy12.0%13.0%13.4%1.3% short
Kill/death ratio1.011.081.120.12 short
Match win rate43.5%46.7%48.5%5.0% short

This profile sits below the typical Red band player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGockapPREMIER20,689 · Pink bandcsdb.gg/stats

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Performance scores

Aim71
Positioning40
Utility22

0–100 skill scores via Leetify.

Recent form

COLD49–49–2Last 10049%Win rateLLLWLLLWLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +4.9pp headshot accuracy · +5ms reaction

Win rate −10pp 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 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 494ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 533ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 531ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.3 against its own average).

Aim7.1
Utility2.2
Positioning4.0
Opening Duels2.2
Clutch4.6

Limited utility dependence

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

donk

Plays most like donk 88% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning 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

Areas to improve

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

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

CT openings. Opening success drops from 52% on T to 34% on CT — first contacts on the defending side are being lost.

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

Aim7.1
Positioning4.0
Utility2.2
Mechanics6.0
Opening Duels3.3
Win Impact3.9

Composite 5.0/10 (Developing), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time532ms−23ms
first ⅓ avg 555ms → last ⅓ avg 532ms
Headshot accuracy12.5%−8.6%
first ⅓ avg 21.1% → last ⅓ avg 12.5%

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

0.15Best match rating · 13–3 · cache, 21 Oct →
42%Best headshot accuracy · 13–8 · cache, 24 Oct →
391msFastest reaction time · 4–13 · mirage, 4 Nov →
13–2Biggest win · mirage, 24 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
6–3In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 54% over 13anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
cacheB3819–1950%0.01
mirageB157–847%-0.01
dust2C146–843%-0.02
infernoB137–654%0.01
nukeC83–538%-0.02
anubisD62–433%-0.00
ancient—43–175%-0.01
overpass—22–0100%0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

129,082Lifetime kills
1.01K/D
6,913Matches
43.5%Match win rate
36.5%Headshot %
12.0%Shot accuracy
16,085MVPs
2,938Hours (in match)
5,726Bombs planted
2,472Bombs defused

Most-used weapons

AK-4732,830
AWP15,079
P903,863
Tec-93,623
P2503,377
MAC-103,190

Lifetime map wins

11,640dust2
10,238inferno
4,860nuke
1,156vertigo
948train
892cbble
385aztec
294office

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

Faceit stats

Combat

345Matches
51%Win rate
1.39Avg K/D
103.3ADR
40%Headshot %

Clutches & streaks

43%1v1 clutch win
39%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2875%1.9721.4
Inferno1070%1.8020.4
Ancient650%1.4016.8
Nuke683%1.6717.7
Dust2667%2.9521.3
Anubis580%1.6819.4
Train3100%2.4419.3
Cache250%0.8015.5

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.

12.9%Headshot accuracy
37.0%Accuracy (enemy spotted)
40.1%Spray accuracy
77.1%Counter-strafing
10.5°Preaim
526msReaction time
52.1%T opening success
33.9%CT opening success
0.22Enemies flashed / flash
2.6%Flash assists
12.99HE damage / grenade
1.22Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.8996% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2178 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 33.915% — below the 40% mark we flag

Spend your practice time on Anubis

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–130.0313%13 Nov →
mirage6–13-0.0510%12 Nov →
inferno11–130.0111%11 Nov →
inferno13–40.0319%10 Nov →
cache10–130.0516%9 Nov →
nuke4–13-0.0716%7 Nov →
cache10–13-0.059%7 Nov →
mirage13–30.029%7 Nov →
mirage2–13-0.0219%6 Nov →
mirage13–60.0239%5 Nov →
dust24–13-0.0510%5 Nov →
cache13–60.0914%5 Nov →
mirage13–50.035%4 Nov →
inferno9–13-0.0018%4 Nov →
nuke4–13-0.055%4 Nov →
inferno13–10-0.0221%4 Nov →
mirage4–13-0.1116%4 Nov →
anubis11–13-0.058%3 Nov →
cache8–13-0.017%3 Nov →
inferno13–90.007%3 Nov →
cache8–13-0.0418%3 Nov →
overpass13–80.015%3 Nov →
mirage13–11-0.0412%3 Nov →
dust25–13-0.099%2 Nov →
cache13–60.087%2 Nov →
inferno13–100.0420%2 Nov →
cache13–8-0.0016%2 Nov →
anubis13–110.0110%2 Nov →
dust22–13-0.0810%2 Nov →
dust213–8-0.048%2 Nov →
cache13–40.026%2 Nov →
mirage9–130.0412%1 Nov →
dust27–13-0.078%1 Nov →
dust213–11-0.0218%1 Nov →
cache13–6-0.0013%1 Nov →
cache12–160.0317%31 Oct →
nuke8–13-0.0221%31 Oct →
mirage14–160.0917%31 Oct →
ancient13–10-0.038%31 Oct →
mirage0–13-0.060%30 Oct →
mirage13–7-0.042%30 Oct →
dust27–13-0.1027%30 Oct →
inferno13–50.0615%30 Oct →
cache13–110.0021%30 Oct →
inferno4–13-0.0119%30 Oct →
anubis13–4-0.0517%30 Oct →
mirage8–1-0.0325%29 Oct →
cache13–9-0.0123%29 Oct →
dust213–40.0218%29 Oct →
mirage13–16-0.0013%29 Oct →
anubis12–16-0.0020%28 Oct →
anubis10–130.0621%27 Oct →
ancient9–130.0613%27 Oct →
dust24–13-0.0331%27 Oct →
mirage10–130.0011%27 Oct →
ancient13–6-0.066%27 Oct →
inferno7–130.0619%26 Oct →
inferno12–120.0020%26 Oct →
overpass13–30.1120%26 Oct →
cache13–80.0215%26 Oct →
cache10–13-0.0213%26 Oct →
inferno9–13-0.055%25 Oct →
inferno13–60.0218%25 Oct →
ancient13–4-0.0118%25 Oct →
nuke13–70.0417%25 Oct →
nuke13–10-0.0013%25 Oct →
cache7–130.0724%25 Oct →
cache3–130.0033%25 Oct →
dust213–30.109%25 Oct →
mirage13–2-0.0016%24 Oct →
dust213–90.0436%24 Oct →
cache13–8-0.0642%24 Oct →
cache10–13-0.0511%24 Oct →
cache13–70.0433%23 Oct →
nuke13–30.0440%22 Oct →
nuke8–13-0.0524%22 Oct →
inferno13–50.0311%22 Oct →
cache3–13-0.0518%22 Oct →
cache13–30.1524%21 Oct →
cache13–6-0.0426%21 Oct →
cache5–13-0.0510%21 Oct →
cache13–80.047%20 Oct →
cache10–13-0.0821%19 Oct →
cache7–130.008%19 Oct →
cache8–13-0.0116%18 Oct →
cache13–11-0.0227%18 Oct →
cache9–130.0025%18 Oct →
cache1–130.0538%17 Oct →
cache12–12-0.0125%17 Oct →
cache9–130.0423%16 Oct →
cache13–70.0426%16 Oct →
cache13–100.0712%15 Oct →
cache10–130.007%14 Oct →
dust213–110.0229%14 Oct →
dust25–13-0.0430%14 Oct →
cache13–60.0315%7 Oct →
cache13–90.0213%7 Oct →
nuke10–13-0.0315%6 Oct →
cache13–90.0315%5 Oct →
anubis9–130.0111%4 Oct →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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