ponsuke

ponsuke — CS2 Stats

76561198198815642[U:1:238549914]Steam profile ↗✓ No bans

1,797Tracked matches50%Win rate2021Tracked since
1,969Hours in CS
CSDB Rating5.1 DevelopingSupport
Premier CS Rating17,369Purple band · top ~19% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (6 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: 17,369 +2,119 24 Aug – 30 Oct · 34 days played
12,61718,356peak 18,35624 Aug30 Oct
18,691Peak Premier in tracked matches
32Days played since 2026-08-24

Premier CS Rating

  • 987 below peak (18,356)
  • -987 over 30 days · declining
  • Next: Pink band at 20,000 — 2,631 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-25
  • Blue band first seen 2026-09-09

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate37.5%44.4%46.9%9.5% short
Shot accuracy10.1%11.9%13.0%2.9% short
Kill/death ratio0.891.031.080.19 short
Match win rate45.5%45.2%46.7%1.2% short

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

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGponsukePREMIER17,369 · Purple 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

Aim51
Positioning52
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY56–43–1Last 10056%Win rateLWLLWWLWWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +5.5pp headshot accuracy · −49ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 606ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 580ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 604ms

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 (+2.8 against its own average).

Aim5.1
Utility6.7
Positioning5.2
Opening Duels2.7
Clutch1.0

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

Twistzz

Plays most like Twistzz 71% 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

CT openings. Opening success drops from 58% on T to 38% on CT — first contacts on the defending side are being lost.

Reaction time. 607ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.1
Positioning5.2
Utility6.7
Mechanics4.2
Opening Duels4.4
Win Impact5.0

Composite 5.1/10 (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 rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time613ms−15ms
first ⅓ avg 627ms → last ⅓ avg 613ms
Headshot accuracy13.9%−2.3%
first ⅓ avg 16.2% → last ⅓ avg 13.9%

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

0.10Best match rating · 8–13 · ancient, 25 Sept →
36%Best headshot accuracy · 6–13 · ancient, 25 Oct →
391msFastest reaction time · 16–14 · ancient, 15 Oct →
13–3Biggest win · dust2, 30 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–6In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 70% over 20cacheWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B2815–1354%-0.01
ancientS2014–670%-0.02
mirageA2012–860%-0.01
nukeA95–456%-0.02
cacheC83–538%0.01
anubisC83–538%-0.00
infernoA74–357%-0.01

Across the last 100 tracked matches.

Lifetime stats

81,926Lifetime kills
0.89K/D
4,765Matches
45.5%Match win rate · Top 50% of Purple band
37.5%Headshot %
10.1%Shot accuracy
9,379MVPs
1,969Hours (in match)
5,331Bombs planted
1,070Bombs defused

Most-used weapons

AK-4720,172
AWP9,637
MP91,735
FAMAS1,687
MP71,676

Lifetime map wins

8,455dust2
8,112inferno
3,402nuke
1,620vertigo
1,313train
760cbble
258office
79lake

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

Faceit stats

Combat

48Matches
38%Win rate
0.66Avg K/D
80.2ADR
28%Headshot %

Clutches & streaks

25%1v1 clutch win
27%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage850%0.8513.8
Inferno367%0.9613.0
Dust220%0.639.0
Ancient250%1.3424.0
Vertigo10%0.8214.0
Nuke10%0.336.0

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.

14.3%Headshot accuracy
32.2%Accuracy (enemy spotted)
32.4%Spray accuracy
68.8%Counter-strafing
8.5°Preaim
607msReaction time
57.7%T opening success
37.7%CT opening success
0.59Enemies flashed / flash
7.0%Flash assists
12.25HE damage / grenade
7.36Flashes / 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 14.2753% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 37.7343% — 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
dust211–13-0.0312%30 Oct →
dust213–3-0.0219%30 Oct →
cache7–130.0216%30 Oct →
ancient6–13-0.1036%25 Oct →
nuke13–60.0323%25 Oct →
cache16–130.0019%21 Oct →
anubis10–13-0.0219%18 Oct →
inferno13–6-0.0215%18 Oct →
ancient16–14-0.037%15 Oct →
inferno13–5-0.0816%15 Oct →
mirage16–130.0816%15 Oct →
dust25–13-0.015%13 Oct →
nuke2–13-0.0815%13 Oct →
mirage5–13-0.0510%7 Oct →
dust213–16-0.0324%7 Oct →
dust213–16-0.0713%5 Oct →
dust213–70.0110%5 Oct →
nuke13–3-0.0114%5 Oct →
ancient8–13-0.056%4 Oct →
anubis16–120.0514%4 Oct →
dust210–130.0812%4 Oct →
mirage13–4-0.0116%4 Oct →
dust214–16-0.0811%2 Oct →
inferno7–13-0.038%1 Oct →
dust213–40.0015%1 Oct →
ancient13–7-0.0516%1 Oct →
mirage13–80.026%1 Oct →
dust213–5-0.0313%1 Oct →
ancient7–13-0.0614%1 Oct →
dust28–13-0.058%1 Oct →
anubis13–7-0.0318%30 Sept →
dust22–13-0.083%30 Sept →
cache13–50.069%30 Sept →
ancient13–10-0.059%30 Sept →
dust213–110.0321%30 Sept →
anubis10–130.027%30 Sept →
mirage9–13-0.0510%29 Sept →
ancient13–80.0214%29 Sept →
dust213–30.0712%29 Sept →
mirage13–8-0.0119%29 Sept →
dust213–40.008%29 Sept →
mirage9–13-0.0514%29 Sept →
nuke13–11-0.0320%29 Sept →
mirage13–60.0113%28 Sept →
mirage13–5-0.0614%28 Sept →
ancient13–100.017%28 Sept →
nuke11–130.0314%28 Sept →
anubis13–50.0110%25 Sept →
ancient8–130.1021%25 Sept →
ancient13–5-0.0710%25 Sept →
cache8–13-0.0214%25 Sept →
mirage13–100.0217%25 Sept →
ancient13–50.0712%24 Sept →
nuke13–8-0.0318%24 Sept →
inferno13–70.0616%24 Sept →
dust216–13-0.0112%23 Sept →
mirage16–120.029%23 Sept →
cache13–110.085%23 Sept →
dust27–130.0111%23 Sept →
cache11–130.0313%23 Sept →
cache2–13-0.0317%23 Sept →
inferno13–10-0.0118%22 Sept →
dust213–80.0412%22 Sept →
ancient2–13-0.0512%22 Sept →
nuke16–140.0517%22 Sept →
ancient13–50.0326%22 Sept →
mirage8–130.0422%22 Sept →
mirage13–40.0213%21 Sept →
inferno6–13-0.0324%20 Sept →
dust216–14-0.0215%20 Sept →
dust216–13-0.0218%16 Sept →
dust213–11-0.0222%16 Sept →
ancient13–50.0517%16 Sept →
dust213–50.0519%14 Sept →
ancient13–80.0114%14 Sept →
mirage3–13-0.0729%10 Sept →
dust25–130.0325%10 Sept →
nuke5–13-0.0210%6 Sept →
dust26–13-0.0317%6 Sept →
anubis15–15-0.0115%6 Sept →
mirage6–130.0212%3 Sept →
mirage10–13-0.0428%1 Sept →
anubis11–13-0.0022%1 Sept →
dust211–13-0.0614%29 Aug →
ancient13–80.0019%29 Aug →
cache10–13-0.0613%28 Aug →
anubis10–13-0.039%28 Aug →
mirage13–11-0.029%28 Aug →
mirage13–4-0.007%27 Aug →
ancient9–13-0.094%27 Aug →
mirage10–13-0.0415%27 Aug →
dust210–13-0.0718%27 Aug →
ancient13–60.0113%26 Aug →
mirage13–9-0.0119%26 Aug →
dust216–130.0318%26 Aug →
dust213–90.0322%26 Aug →
ancient13–11-0.0217%25 Aug →
inferno13–160.0214%25 Aug →
nuke6–13-0.0915%24 Aug →
ancient13–8-0.0510%24 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 →

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