SQaW

SQaW — CS2 Stats

JP76561198360988956[U:1:400723228]Steam profile ↗✓ No bans

105Tracked matches57%Win rate2020Tracked since
450Hours in CS
CSDB Rating4.9 DevelopingSupport
WingmanLegendary Eagle
Ladder ranks via Leetify

Performance scores

Aim47
Positioning42
Utility48

0–100 skill scores via Leetify.

Recent form

HOT46–43–9Last 9847%Win rateWLWWWWWWLL

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · +3.2pp headshot accuracy · −6ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 692ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 642ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 645ms

Newest first, from the last 98 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 against its own average).

Aim4.7
Utility4.8
Positioning4.2
Opening Duels2.5

Strong T-side opener

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

jL

Plays most like jL 83% 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. 685ms 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

Aim4.7
Positioning4.2
Utility4.8
Mechanics7.0
Opening Duels1.6
Win Impact7.2

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 time677ms−6ms
first ⅓ avg 683ms → last ⅓ avg 677ms
Headshot accuracy15.3%−3.0%
first ⅓ avg 18.3% → last ⅓ avg 15.3%

Rolling 5-match average across the last 98 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.11Best match rating · 16–9 · mirage, 24 Jan →
35%Best headshot accuracy · 16–9 · mirage, 24 Jan →
430msFastest reaction time · 9–3 · inferno, 23 Feb →
16–2Biggest win · cache, 24 Jan →

Across the last 98 tracked matches.

Highlights

6Longest win streak
2–6In matches decided by ≤2 rounds
82Overtime games

Map breakdown

cacheBest map · 59% over 17dust2Weakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB4121–2051%0.00
infernoB2312–1152%-0.00
cacheA1710–759%0.00
nukeD51–420%-0.01
dust2D50–50%0.00
train—30–30%0.02
overpass—21–150%-0.07
vertigo—11–0100%0.04
office—10–10%0.01

Across the last 98 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,818Lifetime kills
1.36K/D · Top 10% of tracked players
1,144Matches
47.9%Match win rate · Top 50% of tracked players
46.0%Headshot % · Top 50% of tracked players
18.9%Shot accuracy · Top 10% of tracked players
3,842MVPs
450Hours (in match)
1,687Bombs planted
304Bombs defused

Most-used weapons

Lifetime map wins

1,714inferno
696dust2
556cbble
302nuke
128train
54vertigo
42italy
37lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.1%Headshot accuracy
30.3%Accuracy (enemy spotted)
31.1%Spray accuracy
81.6%Counter-strafing
10.1°Preaim
685msReaction time
42.1%T opening success
30.4%CT opening success
0.50Enemies flashed / flash
4.0%Flash assists
6.39HE damage / grenade
13.81Flashes / 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 0.4987 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 30.4355% — below the 40% mark we flag

Spend your practice time on Dust 2

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–10-0.0017%4 Jul →
overpass2–9-0.2013%23 Feb →
mirage13–9-0.0617%23 Feb →
vertigo13–20.049%23 Feb →
nuke9–50.0215%23 Feb →
inferno9–3-0.0127%23 Feb →
mirage13–50.0819%21 Feb →
mirage13–90.039%21 Feb →
inferno7–13-0.068%21 Feb →
mirage11–130.0217%21 Feb →
dust27–130.0211%21 Feb →
nuke6–9-0.1213%12 Nov →
inferno5–9-0.0314%12 Nov →
mirage5–13-0.025%12 Nov →
train10–160.059%9 Feb →
overpass16–70.0712%26 Jan →
mirage4–16-0.0114%4 Oct →
mirage3–16-0.047%4 Oct →
mirage16–130.0415%1 Feb →
mirage16–110.0420%28 Jan →
mirage6–16-0.0519%26 Jan →
nuke1–16-0.074%25 Jan →
inferno16–130.0424%25 Jan →
inferno16–14-0.0011%25 Jan →
nuke14–160.1019%24 Jan →
mirage16–90.1135%24 Jan →
cache16–20.017%24 Jan →
nuke13–160.0321%20 Jan →
mirage11–16-0.0028%20 Jan →
office13–160.0111%19 Jan →
cache16–120.0420%19 Jan →
mirage16–30.0417%19 Jan →
inferno16–90.0322%19 Jan →
cache16–120.0023%9 Jan →
mirage16–70.0013%9 Jan →
train3–160.0015%9 Jan →
cache15–150.0012%8 Jan →
mirage4–160.0016%8 Jan →
cache16–130.0010%3 Jan →
inferno16–130.0014%2 Jan →
mirage0–100.003%1 Jan →
dust22–160.0021%31 Dec →
mirage16–130.0021%31 Dec →
inferno16–70.009%31 Dec →
cache16–130.0014%31 Dec →
cache6–10.0029%31 Dec →
inferno12–160.0018%28 Dec →
mirage16–110.0026%28 Dec →
cache14–160.0010%25 Dec →
inferno16–70.0021%24 Dec →
mirage16–90.008%24 Dec →
inferno15–150.0016%23 Dec →
inferno16–20.0016%22 Dec →
mirage15–150.0015%22 Dec →
cache15–150.0019%22 Dec →
mirage9–160.0011%22 Dec →
mirage16–100.0025%21 Dec →
cache10–160.0012%15 Dec →
dust29–160.0023%15 Dec →
inferno13–160.0011%14 Dec →
mirage7–160.0018%14 Dec →
inferno16–130.0019%12 Dec →
cache16–110.009%12 Dec →
mirage16–120.0017%12 Dec →
cache9–160.0012%10 Dec →
mirage15–150.0011%10 Dec →
cache16–100.0011%9 Dec →
train8–160.0011%7 Dec →
mirage15–150.0021%7 Dec →
inferno16–90.0024%6 Dec →
mirage16–50.0016%6 Dec →
dust213–160.0025%4 Dec →
inferno12–160.0020%3 Dec →
cache9–160.008%3 Dec →
mirage8–160.009%3 Dec →
mirage14–160.0015%2 Dec →
inferno16–70.0027%2 Dec →
mirage14–160.0024%2 Dec →
mirage16–140.0015%1 Dec →
inferno15–150.0013%30 Nov →
mirage16–50.0023%30 Nov →
mirage16–100.0023%29 Nov →
mirage16–50.0024%29 Nov →
mirage16–30.0021%28 Nov →
mirage14–160.0012%28 Nov →
inferno12–160.0019%28 Nov →
inferno12–160.0015%27 Nov →
dust27–160.0024%27 Nov →
inferno15–150.0017%27 Nov →
cache4–160.0021%27 Nov →
mirage16–110.0014%27 Nov →
cache16–30.0017%26 Nov →
mirage15–150.0016%26 Nov →
inferno10–160.0031%25 Nov →
mirage16–100.0019%24 Nov →
mirage12–160.0018%22 Nov →
inferno16–90.0024%19 Nov →
mirage6–160.009%1 Nov →

Match data via Leetify.

Recent teammates

Milestones

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

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