A Couple Friends Interlocking

A Couple Friends Interlocking — CS2 Stats

PF76561198163604713[U:1:203338985]Steam profile ↗✓ No bans

1,244Tracked matches52%Win rate2020Tracked since
3,604Hours in CS6Hrs last 2 wks
CSDB Rating5.5 SolidClutch Specialist
Premier CS Rating22,431Top 25% of 215,386 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)
CSDB Leaderboard#51653 of 261547 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

−103Premier CS Rating · 22,534 → 22,431

Rating over time

Premier CS Rating: 22,431 +806 14 May – 14 Nov · 30 days played
21,62523,662peak 23,66214 May14 Nov
23,662Peak Premier in tracked matches
52Days played since 2026-05-13

Premier CS Rating

  • 1,231 below peak (23,662)
  • -870 over 30 days · declining
  • -686 over 90 days
  • Next: Red band at 25,000 — 2,569 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
Matches1022−12
Win rate60%41%+19pp
K/D2.572.26+0.31
Headshot %60%60%+1pp

Measured 19 Oct 2026 → 14 Nov 2026; previous 17 Sep 2026 → 19 Oct 2026.

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 rate46.0%46.9%49.3%3.2% short
Shot accuracy12.1%13.0%13.4%1.2% short
Kill/death ratio1.031.081.120.10 short
Match win rate45.3%46.7%48.5%3.2% short

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

Widest gap: Shot accuracy. 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.GGA Couple Friends Interloc…PREMIER22,431 · Pink 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

Aim64
Positioning58
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY50–44–6Last 10050%Win rateLLWWLWWLWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −1.5pp headshot accuracy · −8ms reaction

Win rate up 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 638ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 569ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 573ms

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 (+2.7 against its own average).

Aim6.4
Utility3.2
Positioning5.8
Opening Duels4.1
Clutch8.0

Limited utility dependenceReliable in 1v1s

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 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

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

Reaction time. 585ms 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

Aim6.4
Positioning5.8
Utility3.2
Mechanics4.8
Opening Duels5.2
Win Impact5.6

Composite 5.5/10 (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+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time590ms−58ms
first ⅓ avg 648ms → last ⅓ avg 590ms
Headshot accuracy16.9%+4.0%
first ⅓ avg 12.9% → last ⅓ avg 16.9%

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

0.23Best match rating · 13–1 · cache, 30 May →
30%Best headshot accuracy · 6–13 · mirage, 20 Jul →
406msFastest reaction time · 13–11 · nuke, 20 Oct →
13–1Biggest win · dust2, 3 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
7–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 67% over 15nukeWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
cacheA2715–1256%0.02
dust2C219–1243%0.01
mirageS1510–567%-0.02
nukeD124–833%-0.01
vertigoA95–456%0.02
inferno—42–250%-0.04
ancient—40–40%-0.05
anubis—32–167%-0.02
eldorado—11–0100%0.01
debris—11–0100%0.02
poseidon—11–0100%0.12
overpass—10–10%-0.05
train—10–10%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

100,801Lifetime kills
1.03K/D
4,854Matches
45.3%Match win rate
46.0%Headshot %
12.1%Shot accuracy
13,216MVPs
1,883Hours (in match)
6,105Bombs planted
2,856Bombs defused

Most-used weapons

AK-4742,193
AWP10,627
SG 5533,028
P2501,914
AUG1,637

Lifetime map wins

16,900dust2
5,407inferno
2,979nuke
2,527train
1,592vertigo
1,058cbble
135lake
53shorttrain

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

Faceit stats

Combat

214Matches
56%Win rate
1.04Avg K/D
74.0ADR
36%Headshot %

Clutches & streaks

60%1v1 clutch win
50%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2650%1.5110.2
Cache3100%1.7020.7
Nuke1100%1.0017.0
Mirage1100%0.8815.0

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.

17.0%Headshot accuracy
34.1%Accuracy (enemy spotted)
36.2%Spray accuracy
71.7%Counter-strafing
8.9°Preaim
585msReaction time
56.1%T opening success
45.1%CT opening success
0.47Enemies flashed / flash
2.8%Flash assists
8.63HE damage / grenade
2.03Flashes / 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. 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 0.466 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.039%14 Nov →
dust26–130.0229%11 Nov →
cache13–60.0416%11 Nov →
dust213–10.1317%3 Nov →
dust26–13-0.0313%29 Oct →
nuke13–110.0113%20 Oct →
anubis13–8-0.089%16 Oct →
inferno6–13-0.0121%16 Oct →
nuke16–120.0214%15 Oct →
cache13–40.1521%13 Oct →
dust213–100.0220%8 Oct →
dust23–13-0.0321%6 Oct →
nuke9–13-0.0118%1 Oct →
dust213–70.1618%1 Oct →
cache13–10-0.0015%28 Sept →
dust26–13-0.0022%26 Sept →
nuke5–130.0023%26 Sept →
inferno13–2-0.017%26 Sept →
dust29–13-0.0611%17 Sept →
dust214–16-0.0220%2 Sept →
dust216–140.0211%31 Aug →
mirage15–15-0.0117%27 Aug →
mirage4–13-0.0621%23 Aug →
dust24–9-0.029%23 Aug →
nuke13–70.0223%23 Aug →
dust28–130.0524%22 Aug →
mirage13–4-0.0410%22 Aug →
anubis13–50.0726%22 Aug →
cache13–110.0417%29 Jul →
nuke5–13-0.0320%29 Jul →
dust212–16-0.0617%29 Jul →
nuke11–13-0.019%29 Jul →
dust212–16-0.0417%29 Jul →
eldorado9–30.019%28 Jul →
vertigo13–1-0.029%28 Jul →
dust213–40.0311%28 Jul →
mirage13–20.0427%28 Jul →
cache13–80.007%28 Jul →
cache13–40.0414%28 Jul →
vertigo13–20.1511%27 Jul →
debris9–70.0222%27 Jul →
vertigo5–9-0.0818%27 Jul →
poseidon9–40.1213%27 Jul →
mirage13–8-0.0115%27 Jul →
mirage13–110.0125%23 Jul →
cache11–13-0.0312%20 Jul →
mirage6–13-0.0230%20 Jul →
nuke13–6-0.0925%18 Jul →
cache13–4-0.0424%18 Jul →
dust211–13-0.0617%15 Jul →
dust213–100.0418%11 Jul →
cache13–110.0712%1 Jul →
cache12–120.0817%1 Jul →
nuke14–16-0.0216%1 Jul →
overpass7–13-0.0521%1 Jul →
dust210–13-0.0113%1 Jul →
mirage13–8-0.033%23 Jun →
nuke9–13-0.0522%23 Jun →
nuke11–130.0113%22 Jun →
mirage13–100.019%22 Jun →
train12–12-0.049%20 Jun →
ancient6–13-0.0522%20 Jun →
mirage13–4-0.008%20 Jun →
cache9–130.0719%20 Jun →
vertigo6–130.0619%19 Jun →
ancient9–130.0013%17 Jun →
nuke6–13-0.029%17 Jun →
mirage13–60.0616%17 Jun →
dust213–10-0.0414%16 Jun →
mirage6–13-0.079%16 Jun →
vertigo9–13-0.0312%13 Jun →
dust213–70.0314%12 Jun →
inferno13–8-0.1111%10 Jun →
vertigo13–40.119%10 Jun →
cache2–13-0.047%10 Jun →
cache9–13-0.0513%9 Jun →
vertigo13–9-0.0326%9 Jun →
mirage13–11-0.058%8 Jun →
cache12–12-0.0112%6 Jun →
cache13–50.0012%6 Jun →
cache9–130.008%5 Jun →
cache13–10-0.0314%3 Jun →
vertigo4–13-0.0213%30 May →
cache13–10.2315%30 May →
cache10–130.0212%28 May →
cache9–13-0.0510%27 May →
vertigo13–100.0021%27 May →
cache7–0-0.0217%26 May →
ancient6–13-0.0518%26 May →
mirage16–13-0.0114%25 May →
cache13–3-0.037%23 May →
cache13–90.0319%23 May →
mirage15–15-0.057%21 May →
ancient4–13-0.090%16 May →
dust213–90.0711%16 May →
inferno12–16-0.0514%14 May →
cache12–12-0.0115%14 May →
cache13–9-0.0218%14 May →
cache3–13-0.0122%14 May →
cache7–130.058%13 May →

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 →

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