wantan

wantan — CS2 Stats

JP76561198017916949[U:1:57651221]Steam profile ↗✓ No bans

2,003Tracked matches56%Win rate2024Tracked since
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating18,686Top 50% of 211,308 CSDB-tracked playersPurple band · top ~13.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 18,686 → 18,686
+8Tracked matches · now 2,003
−5.1ppWin rate · 60.7% → 55.6%

Rating over time

Premier CS Rating: 18,686 +1,485 23 Jun – 4 Oct · 8 days played
17,20119,311peak 19,31123 Jun4 Oct
19,311Peak Premier in tracked matches
35Days played since 2026-06-23

Premier CS Rating

  • 625 below peak (19,311)
  • 0 over 90 days
  • Next: Pink band at 20,000 — 1,314 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-04
  • Blue band first seen 2026-10-04

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

Share this profile

CSDB.GGwantanPREMIER18,686 · Purple bandcsdb.gg/stats

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Performance scores

Aim49
Positioning54
Utility49

0–100 skill scores via Leetify.

Recent form

COLD53–40–7Last 10053%Win rateLWTLLLTWLL

Last 10 vs previous 10: −40pp win rate · +0.01 avg rating · +2.0pp headshot accuracy · +23ms reaction

Win rate down 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 589ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 570ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 558ms

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: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim4.9
Utility4.9
Positioning5.4
Opening Duels4.4
Clutch0.0

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 74% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

CT openings. Opening success drops from 58% on T to 41% on CT — first contacts on the defending side are being lost.

Reaction time. 573ms 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

Aim4.9
Positioning5.4
Utility4.9
Mechanics4.3
Opening Duels4.9
Win Impact6.9

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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time590ms−8ms
first ⅓ avg 598ms → last ⅓ avg 590ms
Headshot accuracy12.1%−0.5%
first ⅓ avg 12.5% → last ⅓ avg 12.1%

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 · 15–15 · anubis, 4 Jul →
57%Best headshot accuracy · 13–6 · cache, 29 Jun →
406msFastest reaction time · 13–7 · inferno, 3 Jul →
13–1Biggest win · nuke, 28 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–0In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 100% over 5dust2Weakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageC2611–1542%-0.01
infernoS1712–571%-0.02
anubisC145–936%-0.01
dust2D123–925%-0.02
nukeS128–467%-0.01
ancientA116–555%-0.01
cacheS55–0100%-0.03
train—11–0100%-0.02
vertigo—11–0100%0.03
overpass—11–0100%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches
100%Win rate
1.42Avg K/D
106.6ADR
35%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

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.

12.7%Headshot accuracy
38.4%Accuracy (enemy spotted)
38.1%Spray accuracy
69.3%Counter-strafing
14.0°Preaim
573msReaction time
58.0%T opening success
40.8%CT opening success
0.45Enemies flashed / flash
2.5%Flash assists
6.76HE damage / grenade
7.02Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.9627° — above the 12° mark we flag

    Aim Training →
  2. 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 12.7103% — below the 15% mark we flag

    Aim Training →
  3. 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 0.4543 — below the 0.5 mark we flag

    Grenade Lineups →
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.

25% win rate across 12 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
mirage1–13-0.085%9 Oct →
mirage13–50.0118%9 Oct →
dust212–12-0.0216%9 Oct →
mirage6–13-0.0910%8 Oct →
ancient7–13-0.029%7 Oct →
mirage5–13-0.0210%7 Oct →
inferno12–120.0910%5 Oct →
dust213–10-0.0414%5 Oct →
anubis6–13-0.0310%28 Sept →
mirage9–130.0515%28 Sept →
nuke13–1-0.0117%28 Sept →
inferno13–110.0111%26 Sept →
mirage13–30.0611%25 Sept →
mirage12–12-0.025%24 Sept →
anubis13–9-0.0112%21 Sept →
nuke8–13-0.1013%21 Sept →
inferno13–90.0113%21 Sept →
mirage5–1-0.040%21 Sept →
dust26–13-0.0810%18 Sept →
nuke3–13-0.065%12 Sept →
nuke13–10-0.0116%11 Sept →
anubis10–130.0218%11 Sept →
nuke13–20.039%7 Sept →
nuke2–13-0.069%7 Sept →
nuke13–110.0612%3 Sept →
anubis13–10-0.0518%1 Sept →
inferno13–7-0.0632%1 Sept →
ancient13–5-0.026%1 Sept →
ancient9–13-0.0314%1 Sept →
inferno13–11-0.0119%1 Sept →
anubis8–13-0.0722%1 Sept →
dust23–5-0.070%1 Sept →
mirage6–13-0.0911%1 Sept →
mirage13–80.0715%29 Aug →
inferno13–100.017%29 Aug →
dust213–80.0318%26 Aug →
mirage0–4-0.0125%26 Aug →
anubis12–120.0511%25 Aug →
dust28–13-0.0514%22 Aug →
mirage3–13-0.0513%22 Aug →
mirage8–13-0.0411%21 Aug →
anubis2–13-0.066%21 Aug →
inferno10–13-0.097%8 Jul →
ancient10–13-0.026%8 Jul →
cache13–6-0.019%8 Jul →
mirage9–130.0318%8 Jul →
inferno13–50.0314%6 Jul →
mirage13–90.0012%6 Jul →
ancient13–3-0.0310%6 Jul →
nuke5–13-0.0810%5 Jul →
anubis10–13-0.0314%5 Jul →
mirage12–120.0417%4 Jul →
cache13–110.019%4 Jul →
inferno8–13-0.0613%4 Jul →
dust29–130.0625%4 Jul →
mirage13–6-0.0219%4 Jul →
dust23–13-0.0811%4 Jul →
anubis15–150.1010%4 Jul →
inferno13–7-0.0513%3 Jul →
anubis12–12-0.0215%3 Jul →
inferno13–9-0.106%3 Jul →
inferno8–13-0.098%3 Jul →
nuke13–90.073%2 Jul →
mirage3–13-0.0613%2 Jul →
nuke13–8-0.0410%2 Jul →
mirage9–6-0.059%2 Jul →
ancient2–130.016%2 Jul →
mirage13–50.035%1 Jul →
cache13–10-0.034%1 Jul →
nuke13–10.0114%1 Jul →
anubis13–5-0.0310%1 Jul →
ancient10–13-0.048%30 Jun →
train13–11-0.0215%29 Jun →
dust29–130.0213%29 Jun →
mirage13–3-0.0211%29 Jun →
cache13–6-0.0557%29 Jun →
inferno13–30.0312%29 Jun →
nuke13–80.0612%28 Jun →
inferno13–20.0610%28 Jun →
ancient13–90.039%28 Jun →
inferno4–13-0.0711%28 Jun →
anubis13–20.0512%28 Jun →
mirage8–130.069%27 Jun →
ancient13–30.0213%27 Jun →
anubis13–10-0.0315%26 Jun →
mirage0–13-0.0916%26 Jun →
inferno13–4-0.054%26 Jun →
dust27–13-0.0821%26 Jun →
anubis3–13-0.1010%25 Jun →
cache13–3-0.0814%25 Jun →
mirage4–13-0.056%25 Jun →
vertigo13–110.0310%25 Jun →
ancient13–70.0312%24 Jun →
dust25–130.0712%24 Jun →
mirage13–70.059%23 Jun →
inferno13–80.0310%23 Jun →
dust22–130.0217%23 Jun →
ancient13–11-0.0210%23 Jun →
mirage13–50.0716%23 Jun →
overpass16–14-0.0110%23 Jun →

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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