Barry McCockinner

Barry McCockinner — CS2 Stats

BF76561197981951972[U:1:21686244]Steam profile ↗✓ No bans

538Tracked matches52%Win rate2025Tracked since
CSDB Rating4.1 DevelopingSupport
Premier CS Rating11,619Blue band · top ~46.3% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Nov 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 538 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,619 +4,783 30 May – 7 Nov · 24 days played
6,83611,619peak 11,61930 May7 Nov
11,619Peak Premier in tracked matches
37Days played since 2026-05-30

Premier CS Rating

  • At peak — 11,619
  • +879 over 30 days · improving
  • +218 over 90 days
  • Next: Purple band at 15,000 — 3,381 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-15
  • Light Blue band first seen 2026-09-15

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

Share this profile

CSDB.GGBarry McCockinnerFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER11,619 · Blue bandcsdb.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

Aim45
Positioning35
Utility74

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWWWLLLLTWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −3.9pp headshot accuracy · −87ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 619ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 617ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 661ms

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 (+4.3 against its own average).

Aim4.5
Utility7.4
Positioning3.5
Opening Duels0.0
Clutch1.4

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

NiKo

Plays most like NiKo 56% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim 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

Reaction time. 640ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim4.5
Positioning3.5
Utility7.4
Mechanics3.7
Opening Duels0.6
Win Impact5.6

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time632ms−20ms
first ⅓ avg 653ms → last ⅓ avg 632ms
Headshot accuracy13.2%−1.1%
first ⅓ avg 14.3% → last ⅓ avg 13.2%

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

0.09Best match rating · 13–3 · anubis, 31 May →
30%Best headshot accuracy · 13–4 · mirage, 5 Aug →
406msFastest reaction time · 4–13 · inferno, 30 Jun →
13–1Biggest win · overpass, 12 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
8–13In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 71% over 7nukeWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B3116–1552%-0.01
mirageB2614–1254%-0.03
anubisC156–940%-0.02
nukeD82–625%-0.03
infernoS75–271%-0.02
overpassS64–267%-0.04
ancient—40–40%-0.04
cache—31–233%-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

22Matches
41%Win rate
0.88Avg K/D
63.5ADR
40%Headshot %

Clutches & streaks

27%1v1 clutch win
24%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust2850%1.0013.4
Mirage50%0.9213.4
Inferno3100%0.8614.0
Anubis367%0.8210.7
Ancient10%0.4510.0
Overpass10%0.7915.0
Nuke10%0.377.0

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.

13.5%Headshot accuracy
33.1%Accuracy (enemy spotted)
34.7%Spray accuracy
66.8%Counter-strafing
9.6°Preaim
640msReaction time
23.7%T opening success
34.4%CT opening success
0.69Enemies flashed / flash
9.5%Flash assists
8.62HE damage / grenade
17.32Flashes / 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 13.5484% — below the 15% mark we flag

    Aim Training →
  2. 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 23.7296% — below the 40% mark we flag

Spend your practice time on Nuke

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 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–11-0.0116%25 Oct →
mirage13–50.0318%25 Oct →
mirage13–20.067%25 Oct →
mirage8–13-0.078%11 Oct →
nuke8–13-0.0718%11 Oct →
mirage8–13-0.095%11 Oct →
cache8–13-0.1013%11 Oct →
ancient15–150.0014%27 Sept →
inferno13–70.008%27 Sept →
dust29–130.0110%27 Sept →
dust213–11-0.039%12 Sept →
dust216–12-0.029%12 Sept →
mirage13–10-0.0312%5 Aug →
mirage13–4-0.0430%5 Aug →
nuke6–13-0.0815%5 Aug →
anubis11–130.0112%5 Aug →
dust213–80.0624%1 Aug →
nuke13–80.0713%1 Aug →
ancient10–13-0.0115%1 Aug →
dust24–13-0.0815%1 Aug →
anubis13–10-0.0312%27 Jul →
inferno13–90.0012%27 Jul →
dust29–13-0.0424%27 Jul →
dust213–110.028%26 Jul →
mirage11–13-0.0111%26 Jul →
dust217–19-0.0510%26 Jul →
nuke11–13-0.0510%26 Jul →
dust213–90.0023%25 Jul →
mirage11–130.0116%25 Jul →
anubis13–90.0119%24 Jul →
anubis13–100.0112%24 Jul →
inferno13–70.029%23 Jul →
ancient6–13-0.072%23 Jul →
mirage5–13-0.0920%23 Jul →
dust211–13-0.0711%23 Jul →
anubis5–13-0.0916%23 Jul →
nuke10–13-0.019%22 Jul →
dust213–10-0.0118%22 Jul →
cache11–13-0.0915%22 Jul →
anubis11–13-0.1012%20 Jul →
nuke16–14-0.0411%20 Jul →
mirage13–9-0.018%18 Jul →
anubis11–13-0.0113%18 Jul →
dust26–00.020%18 Jul →
dust22–13-0.0827%18 Jul →
dust213–80.088%17 Jul →
dust210–13-0.0318%14 Jul →
inferno2–13-0.0815%14 Jul →
dust213–50.0214%14 Jul →
mirage13–9-0.0617%9 Jul →
mirage13–11-0.0111%9 Jul →
mirage7–13-0.099%5 Jul →
anubis13–9-0.046%4 Jul →
mirage13–4-0.0114%4 Jul →
dust28–130.0215%2 Jul →
mirage11–13-0.067%2 Jul →
dust210–13-0.0721%1 Jul →
dust211–13-0.0315%1 Jul →
mirage9–13-0.0419%1 Jul →
anubis7–13-0.075%30 Jun →
anubis9–0-0.050%30 Jun →
inferno4–13-0.059%30 Jun →
anubis8–13-0.018%30 Jun →
dust213–9-0.0018%28 Jun →
nuke11–13-0.046%28 Jun →
mirage7–13-0.0115%28 Jun →
inferno16–14-0.018%26 Jun →
dust213–9-0.0410%26 Jun →
mirage13–10-0.067%25 Jun →
dust213–9-0.0511%25 Jun →
overpass13–16-0.0415%22 Jun →
dust28–130.0416%22 Jun →
anubis0–11-0.058%22 Jun →
dust213–50.0818%21 Jun →
ancient13–16-0.088%21 Jun →
inferno13–8-0.0329%20 Jun →
mirage10–130.0113%20 Jun →
dust29–13-0.0125%18 Jun →
mirage10–13-0.0718%18 Jun →
overpass13–10-0.0124%18 Jun →
dust28–13-0.0117%17 Jun →
dust212–12-0.0414%17 Jun →
mirage13–9-0.0313%15 Jun →
overpass13–10-0.0814%15 Jun →
mirage13–9-0.0214%12 Jun →
overpass13–1-0.0123%12 Jun →
dust29–13-0.0711%12 Jun →
dust213–4-0.0213%7 Jun →
mirage13–11-0.0212%7 Jun →
dust213–60.0613%2 Jun →
anubis11–130.007%2 Jun →
mirage13–10-0.0313%1 Jun →
overpass6–13-0.0810%1 Jun →
mirage15–15-0.0110%31 May →
dust213–40.0218%31 May →
anubis13–30.0920%31 May →
nuke8–130.0119%30 May →
mirage13–110.0110%30 May →
overpass13–6-0.0410%30 May →
anubis9–130.0214%30 May →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.