squeeze

squeeze — CS2 Stats

NL76561197961424985[U:1:1159257]Steam profile ↗✓ No bans

3,975Tracked matches53%Win rate2020Tracked since
CSDB Rating6.6 SolidSupport
FaceitLevel 10 · 1,932 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,932 → 1,932
+18Tracked matches · now 3,975
+3.3ppWin rate · 50.0% → 53.3%

Rating over time

Premier CS Rating: 23,502 -593 19 Mar – 29 May · 16 days played
21,53224,510peak 24,51019 Mar29 May
24,544Peak Premier in tracked matches
1,932Highest Faceit ELO seen on CSDB
56Days played since 2026-03-15

Faceit ELO

  • At peak — 1,932
  • Next: Level 10 at 2,001 — 69 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-15
  • Level 8 first seen 2026-09-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGsqueezeFACEITLevel 10 · 1,932 ELOSTANDINGTop 12.4% of rankedPEAK ELO1,932csdb.gg/stats

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Performance scores

Aim84
Positioning60
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateLWLLWLWWLL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −7.2pp headshot accuracy · +27ms reaction

Win rate down 30pp 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 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 597ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 588ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 575ms

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 (+1.7 against its own average).

Aim8.4
Utility6.6
Positioning6.0
Opening Duels3.8
Clutch3.4

Strong CT-side openerEffective flashes

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 92% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 57% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 583ms 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

Aim8.4
Positioning6.0
Utility6.6
Mechanics7.8
Opening Duels4.5
Win Impact6.1

Composite 6.6/10 (Solid), 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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time584ms−31ms
first ⅓ avg 616ms → last ⅓ avg 584ms
Headshot accuracy22.3%−0.2%
first ⅓ avg 22.5% → last ⅓ avg 22.3%

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

0.13Best match rating · 13–2 · anubis, 14 May →
39%Best headshot accuracy · 13–7 · dust2, 17 May →
383msFastest reaction time · 5–13 · inferno, 20 Apr →
13–1Biggest win · mirage, 15 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–11In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 75% over 12cacheWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B2613–1350%0.01
mirageB189–950%0.00
ancientB157–847%0.00
infernoS129–375%0.02
anubisC94–544%0.00
nukeC94–544%0.01
cacheC83–538%-0.01
overpass—22–0100%-0.03
train—10–10%-0.07

Across the last 100 tracked matches.

Faceit stats

Combat

844Matches
53%Win rate
1.10Avg K/D
81.5ADR
48%Headshot %

Clutches & streaks

37%1v1 clutch win
26%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage19550%1.0616.5
Dust215247%1.1116.2
Inferno11660%1.2418.2
Ancient8653%1.0315.5
Anubis8056%1.1716.3
Nuke5161%1.0115.0
Cache1856%1.1014.8
Train1242%1.1015.1

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.

22.7%Headshot accuracy
37.1%Accuracy (enemy spotted)
36.1%Spray accuracy
85.1%Counter-strafing
8.2°Preaim
583msReaction time
39.3%T opening success
56.8%CT opening success
0.76Enemies flashed / flash
5.8%Flash assists
19.95HE damage / grenade
7.94Flashes / 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

    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 39.2535% — below the 40% mark we flag

Spend your practice time on Cache

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis5–130.0417%19 Sept →
ancient19–160.0125%19 Sept →
dust26–13-0.0120%19 Sept →
dust213–16-0.0030%15 Sept →
cache13–11-0.0311%15 Sept →
inferno3–13-0.0722%15 Sept →
dust213–8-0.0124%14 Sept →
mirage13–110.0018%14 Sept →
cache9–13-0.0421%13 Sept →
mirage11–13-0.018%11 Sept →
dust25–13-0.0533%11 Sept →
dust213–70.0533%11 Sept →
cache13–6-0.0335%8 Sept →
cache2–13-0.0820%6 Sept →
mirage13–70.0819%6 Sept →
dust213–30.0814%6 Sept →
cache13–80.0632%5 Sept →
mirage13–70.0326%5 Sept →
ancient13–80.0532%5 Sept →
dust211–130.0124%4 Sept →
inferno13–60.0321%4 Aug →
dust213–100.0027%4 Aug →
anubis13–8-0.0129%1 Aug →
ancient13–20.0315%8 Jul →
ancient5–13-0.0318%8 Jul →
dust210–13-0.0316%7 Jul →
dust211–130.0223%3 Jul →
dust213–70.0423%3 Jul →
dust27–13-0.0123%29 Jun →
dust210–130.0519%28 Jun →
dust210–13-0.0319%25 Jun →
dust219–170.0325%21 Jun →
train10–13-0.0714%18 Jun →
nuke3–13-0.0138%18 Jun →
ancient8–13-0.0517%6 Jun →
inferno13–110.0919%5 Jun →
mirage6–13-0.029%3 Jun →
cache6–13-0.0521%29 May →
overpass13–7-0.0018%29 May →
cache11–130.0615%29 May →
overpass13–10-0.0518%29 May →
ancient16–130.0122%28 May →
ancient11–130.0222%25 May →
nuke6–13-0.0633%20 May →
ancient13–40.0619%20 May →
mirage13–9-0.0216%20 May →
mirage7–130.0423%17 May →
dust213–70.0639%17 May →
cache11–130.0020%16 May →
ancient15–15-0.0117%16 May →
mirage11–130.0020%16 May →
anubis2–13-0.1013%16 May →
nuke16–130.0321%15 May →
dust213–110.0224%15 May →
ancient10–130.0016%15 May →
mirage13–9-0.0215%14 May →
nuke13–50.0016%14 May →
anubis13–20.1314%14 May →
dust213–160.0625%13 May →
mirage10–13-0.0327%10 May →
inferno13–8-0.0122%10 May →
dust28–13-0.0419%10 May →
anubis3–13-0.0414%9 May →
nuke13–90.0922%7 May →
inferno13–80.0833%7 May →
ancient13–7-0.0313%5 May →
dust213–90.0535%5 May →
mirage10–13-0.0120%3 May →
mirage14–16-0.0131%29 Apr →
mirage11–13-0.0720%24 Apr →
inferno5–13-0.0336%20 Apr →
mirage13–10.0116%15 Apr →
inferno16–130.0616%15 Apr →
anubis7–13-0.0518%11 Apr →
mirage13–70.0430%11 Apr →
anubis13–70.1013%9 Apr →
nuke10–130.0624%8 Apr →
inferno13–90.0218%8 Apr →
inferno13–110.0323%6 Apr →
ancient0–13-0.0527%6 Apr →
dust213–90.0115%3 Apr →
nuke13–9-0.0217%3 Apr →
inferno11–130.0227%2 Apr →
ancient6–13-0.0313%2 Apr →
nuke11–130.0025%2 Apr →
anubis1–13-0.0517%2 Apr →
inferno13–7-0.0229%31 Mar →
ancient13–80.0119%31 Mar →
inferno13–90.0338%30 Mar →
ancient9–130.0134%29 Mar →
mirage19–22-0.0611%27 Mar →
mirage13–90.0519%23 Mar →
dust213–5-0.0118%22 Mar →
dust210–13-0.0425%21 Mar →
nuke10–13-0.0319%20 Mar →
dust210–13-0.0233%20 Mar →
mirage13–11-0.0032%20 Mar →
dust216–120.0624%19 Mar →
anubis13–50.0318%15 Mar →
dust213–100.0321%15 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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