Imperial Wizard xPillo

Imperial Wizard xPillo — CS2 Stats

CN76561199027303682[U:1:1067037954]Steam profile ↗✓ No bans

727Tracked matches57%Win rate2021Tracked since
CSDB Rating7.4 StrongAll-Rounder
Premier CS Rating27,105Top 5% of 215,386 CSDB-tracked playersRed band · top ~2% of ranked players (population est.)
CSDB Leaderboard#6231 of 261567 tracked
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (24 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: 27,105 +3,733 2 Jan – 21 Oct · 30 days played
22,99927,516peak 27,5162 Jan21 Oct
27,645Peak Premier in tracked matches
42Days played since 2026-01-02

Premier CS Rating

  • 411 below peak (27,516)
  • -81 over 30 days · steady
  • +2,445 over 90 days
  • Next: Gold band at 30,000 — 2,895 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-31
  • Pink band first seen 2026-08-31

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

Share this profile

CSDB.GGImperial Wizard xPilloPREMIER27,105 · Red bandcsdb.gg/stats

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Performance scores

Aim81
Positioning73
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY65–34–1Last 10065%Win rateWWWLLLLWLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +1.8pp headshot accuracy · −60ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 459ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 460ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 490ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.1
Utility5.3
Positioning7.3
Opening Duels7.4

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

s1mple

Plays most like s1mple 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

Strengths

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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

Aim8.1
Positioning7.3
Utility5.3
Mechanics5.8
Opening Duels7.3
Win Impact7.2

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time510ms+36ms
first ⅓ avg 475ms → last ⅓ avg 510ms
Headshot accuracy18.8%−5.0%
first ⅓ avg 23.7% → last ⅓ avg 18.8%

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

0.16Best match rating · 13–9 · overpass, 4 Jan →
46%Best headshot accuracy · 15–15 · ancient, 13 Jan →
219msFastest reaction time · 0–7 · ancient, 2 Jan →
13–2Biggest win · mirage, 30 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W3Current streak
13–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 81% over 16cacheWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
mirageS1913–668%0.04
infernoS1613–381%0.04
dust2A149–564%0.05
overpassS1410–471%0.06
ancientA127–558%0.02
nukeB115–645%0.04
cacheC73–443%0.03
trainS54–180%0.04
anubis—10–10%0.01
vertigo—11–0100%0.10

Across the last 100 tracked matches.

Skill profile

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

19.9%Headshot accuracy
37.3%Accuracy (enemy spotted)
34.4%Spray accuracy
76.2%Counter-strafing
8.3°Preaim
508msReaction time
52.2%T opening success
66.0%CT opening success
0.66Enemies flashed / flash
11.1%Flash assists
10.30HE damage / grenade
6.27Flashes / match

Recommended for you

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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–60.0110%21 Oct →
cache13–90.0221%21 Oct →
nuke13–90.1224%18 Oct →
dust28–130.0431%31 Aug →
nuke13–160.0326%31 Aug →
nuke2–13-0.0316%29 Aug →
nuke0–13-0.0216%28 Aug →
inferno13–100.1425%28 Aug →
dust28–130.0115%28 Aug →
ancient13–110.0519%28 Aug →
inferno13–11-0.0115%28 Aug →
anubis12–160.0120%28 Aug →
cache9–13-0.0121%26 Aug →
nuke7–130.0825%18 Aug →
mirage13–6-0.0417%18 Aug →
nuke10–130.0818%15 Aug →
mirage5–13-0.0814%15 Aug →
ancient13–70.0515%14 Aug →
cache13–110.0821%8 Aug →
vertigo13–60.1016%7 Aug →
inferno13–5-0.0610%7 Aug →
dust213–80.0614%5 Aug →
mirage4–130.0420%1 Aug →
cache9–130.0520%1 Aug →
dust213–100.0918%1 Aug →
cache10–130.000%31 Jul →
mirage13–20.0733%30 Jul →
inferno13–50.0136%30 Jul →
dust213–30.0415%30 Jul →
inferno8–2-0.0722%27 Jul →
nuke11–20.034%27 Jul →
dust213–50.0722%27 Jul →
inferno6–30.0919%27 Jul →
nuke10–13-0.0321%27 Jul →
cache13–110.0330%25 Jul →
cache11–130.0424%24 Jul →
ancient16–130.0210%24 Jul →
nuke13–30.0323%24 Jul →
inferno13–30.0216%24 Jul →
dust216–13-0.0211%23 Jul →
nuke13–110.0620%19 Jul →
mirage8–13-0.0218%19 Jul →
overpass13–70.1220%12 Apr →
dust28–130.0715%11 Apr →
nuke13–40.1214%10 Apr →
overpass11–130.1017%10 Apr →
mirage13–110.0728%8 Apr →
ancient13–100.0810%6 Apr →
ancient13–50.067%6 Apr →
mirage10–130.0116%20 Mar →
overpass16–140.0923%18 Jan →
overpass13–110.0730%18 Jan →
mirage13–100.1122%18 Jan →
inferno8–130.0224%17 Jan →
train13–60.0211%17 Jan →
mirage13–100.0821%17 Jan →
inferno5–13-0.0438%17 Jan →
train11–130.0618%15 Jan →
ancient13–160.0323%15 Jan →
train13–20.1041%14 Jan →
inferno13–40.1226%14 Jan →
mirage13–90.0741%14 Jan →
ancient15–150.0846%13 Jan →
dust213–160.0528%12 Jan →
dust25–130.0722%12 Jan →
ancient16–140.0528%11 Jan →
inferno11–13-0.0033%11 Jan →
train13–11-0.0237%11 Jan →
overpass13–60.0210%11 Jan →
mirage13–70.0815%11 Jan →
mirage10–13-0.0117%11 Jan →
overpass13–90.0913%11 Jan →
inferno13–100.0336%11 Jan →
overpass7–130.0434%11 Jan →
dust213–50.0319%11 Jan →
mirage13–100.1121%10 Jan →
overpass13–110.0322%10 Jan →
dust213–100.0831%9 Jan →
overpass9–130.0314%9 Jan →
overpass13–80.0020%8 Jan →
dust213–80.0523%7 Jan →
mirage13–60.0123%7 Jan →
inferno13–100.1323%6 Jan →
overpass13–8-0.0023%6 Jan →
mirage13–30.1339%6 Jan →
overpass13–110.0711%6 Jan →
inferno13–20.1420%6 Jan →
mirage11–130.0830%5 Jan →
mirage13–20.0242%5 Jan →
overpass13–90.1622%4 Jan →
inferno13–70.0725%4 Jan →
train13–110.0333%3 Jan →
ancient10–130.0435%3 Jan →
inferno16–130.0721%3 Jan →
overpass9–130.0517%3 Jan →
dust213–90.0614%3 Jan →
ancient7–130.0314%3 Jan →
mirage13–90.0120%2 Jan →
ancient0–7-0.1440%2 Jan →
ancient13–10-0.0620%2 Jan →

Match data via Leetify.

Recent teammates

Milestones

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

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