SPW

SPW — CS2 Stats

76561199433194968[U:1:1472929240]Steam profile ↗✓ No bans

1,594Tracked matches55%Win rate2023Tracked since
1,526Hours in CS10Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
Premier CS Rating23,139Top 25% of 212,133 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)
CSDB Leaderboard#41861 of 259040 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (4 days ago). 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: 23,139 +2,720 29 Aug – 27 Oct · 18 days played
20,41923,139peak 23,13929 Aug27 Oct
23,139Peak Premier in tracked matches
46Days played since 2026-08-02

Premier CS Rating

  • At peak — 23,139
  • +1,907 over 30 days · improving
  • Next: Red band at 25,000 — 1,861 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-04
  • Purple band first seen 2026-09-04

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

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 rate41.8%46.9%49.3%7.5% short
Shot accuracy1.0%13.0%13.4%12.3% short
Kill/death ratio1.061.081.120.07 short
Match win rate45.6%46.7%48.5%2.9% 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.GGSPWPREMIER23,139 · Pink bandcsdb.gg/stats

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Performance scores

Aim50
Positioning51
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateWWWLWLLLWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −4.0pp headshot accuracy · +42ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 624ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 622ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 601ms

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 (+1.2 against its own average).

Aim5.0
Utility5.7
Positioning5.1
Opening Duels2.6

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

ZywOo

Plays most like ZywOo 74% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 598ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim5.0
Positioning5.1
Utility5.7
Mechanics4.4
Opening Duels3.8
Win Impact6.7

Composite 5.2/10 (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 rating0.01+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time605ms−53ms
first ⅓ avg 658ms → last ⅓ avg 605ms
Headshot accuracy14.3%−0.1%
first ⅓ avg 14.4% → last ⅓ avg 14.3%

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

0.15Best match rating · 13–3 · ancient, 23 Aug →
38%Best headshot accuracy · 2–13 · dust2, 19 Oct →
430msFastest reaction time · 7–13 · dust2, 19 Oct →
13–1Biggest win · cache, 9 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
10–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 83% over 6italyWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C4619–2741%-0.01
infernoB157–847%-0.02
ancientB105–550%0.02
nukeC73–443%0.03
italyD62–433%0.01
cacheS65–183%0.03
mirageS54–180%0.02
anubis—20–20%-0.02
eldorado—10–10%0.06
fachwerk—11–0100%0.01
debris—10–10%-0.01

Across the last 100 tracked matches.

Lifetime stats

34,745Lifetime kills
1.06K/D
2,105Matches
45.6%Match win rate
41.8%Headshot %
1.0%Shot accuracy
4,596MVPs
781Hours (in match)
1,428Bombs planted
654Bombs defused

Most-used weapons

Lifetime map wins

4,819dust2
3,140inferno
2,084nuke
1,215vertigo
774train
400office
263italy
41cbble

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.

14.1%Headshot accuracy
32.9%Accuracy (enemy spotted)
35.0%Spray accuracy
69.9%Counter-strafing
10.2°Preaim
598msReaction time
43.9%T opening success
46.7%CT opening success
0.67Enemies flashed / flash
5.8%Flash assists
7.85HE damage / grenade
9.33Flashes / 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 14.0517% — below the 15% mark we flag

    Aim Training →
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.

41% win rate across 46 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
dust216–12-0.0313%27 Oct →
mirage13–9-0.0414%25 Oct →
mirage13–110.0916%25 Oct →
ancient7–13-0.0311%25 Oct →
dust213–11-0.0619%22 Oct →
dust211–13-0.0513%21 Oct →
nuke3–130.055%21 Oct →
dust28–130.0118%21 Oct →
dust213–10-0.0111%20 Oct →
dust213–20.1111%20 Oct →
dust27–13-0.0215%19 Oct →
dust22–13-0.0638%19 Oct →
dust213–50.0712%17 Oct →
inferno13–100.029%17 Oct →
dust213–30.0217%17 Oct →
ancient15–15-0.0111%16 Oct →
dust213–40.0316%16 Oct →
dust213–30.0429%15 Oct →
italy4–130.0114%13 Oct →
ancient11–13-0.0010%10 Oct →
mirage13–90.038%10 Oct →
inferno10–13-0.016%10 Oct →
dust213–6-0.055%10 Oct →
inferno13–160.0115%2 Oct →
nuke13–110.0515%1 Oct →
dust25–130.0020%1 Oct →
mirage13–70.087%27 Sept →
dust210–13-0.0216%27 Sept →
ancient13–80.0021%26 Sept →
dust27–13-0.0319%26 Sept →
eldorado8–80.0610%25 Sept →
nuke8–130.0911%24 Sept →
dust213–50.0518%24 Sept →
mirage5–13-0.0514%18 Sept →
dust212–12-0.0912%18 Sept →
italy13–10-0.0116%17 Sept →
italy10–130.0312%17 Sept →
cache13–16-0.0112%17 Sept →
inferno3–13-0.070%16 Sept →
dust211–13-0.0316%16 Sept →
inferno13–11-0.0010%15 Sept →
italy13–100.0316%14 Sept →
dust29–130.0612%14 Sept →
inferno13–40.0318%14 Sept →
nuke13–4-0.0018%14 Sept →
italy10–130.0318%11 Sept →
ancient16–140.0816%11 Sept →
cache13–60.0920%11 Sept →
inferno1–13-0.0216%8 Sept →
cache13–9-0.0215%4 Sept →
dust213–110.0318%4 Sept →
dust23–13-0.0414%4 Sept →
ancient8–13-0.0316%3 Sept →
dust21–13-0.098%3 Sept →
dust213–11-0.0415%2 Sept →
dust22–13-0.0821%2 Sept →
nuke9–13-0.018%1 Sept →
italy5–13-0.0210%31 Aug →
dust213–60.0316%30 Aug →
dust213–110.0311%30 Aug →
dust210–13-0.019%29 Aug →
inferno13–90.0218%29 Aug →
nuke6–130.0514%29 Aug →
dust213–11-0.0312%29 Aug →
dust28–13-0.0817%29 Aug →
dust210–13-0.0518%28 Aug →
dust213–80.0520%28 Aug →
ancient13–9-0.0218%27 Aug →
dust25–130.0516%27 Aug →
inferno3–13-0.098%27 Aug →
dust211–130.0111%26 Aug →
dust23–13-0.0416%26 Aug →
dust213–90.0217%24 Aug →
ancient13–30.1511%23 Aug →
inferno10–13-0.0014%23 Aug →
cache13–80.0912%23 Aug →
dust213–7-0.0215%23 Aug →
dust212–120.0316%22 Aug →
dust212–12-0.0524%10 Aug →
anubis7–13-0.016%10 Aug →
cache13–1-0.0815%9 Aug →
dust26–130.0116%9 Aug →
fachwerk13–110.0113%9 Aug →
dust26–13-0.0422%9 Aug →
anubis15–15-0.024%8 Aug →
inferno13–30.0115%8 Aug →
cache13–30.1013%8 Aug →
dust213–8-0.0016%7 Aug →
nuke9–6-0.040%6 Aug →
inferno5–9-0.1414%6 Aug →
inferno13–100.0014%6 Aug →
debris7–9-0.0124%6 Aug →
ancient9–130.0112%5 Aug →
dust211–130.0113%5 Aug →
inferno2–13-0.0511%4 Aug →
dust25–13-0.0920%4 Aug →
inferno13–2-0.0012%4 Aug →
dust210–130.0318%3 Aug →
ancient13–60.0220%3 Aug →
dust211–130.0119%2 Aug →

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 →

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