piipo

piipo — CS2 Stats

FI76561198128807761[U:1:168542033]Steam profile ↗VAC banned

667Tracked matches43%Win rate2024Tracked since
CSDB Rating4.8 DevelopingPositional Player
WingmanMaster Guardian I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 12,505 +632 4 Mar – 13 Apr · 8 days played
11,85212,795peak 12,7954 Mar13 Apr
13,169Peak Premier in tracked matches
58Days played since 2026-01-25

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

Performance scores

Aim67
Positioning50
Utility37

0–100 skill scores via Leetify.

Recent form

COLD42–49–9Last 10042%Win rateWLTLLWLWLL

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · −0.3pp headshot accuracy · +40ms 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 524ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 582ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 562ms

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 (+1.5 against its own average).

Aim6.7
Utility3.7
Positioning5.0
Opening Duels1.9

Limited utility dependence

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

iM

Plays most like iM 94% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 569ms 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

Aim6.7
Positioning5.0
Utility3.7
Mechanics5.5
Opening Duels1.4
Win Impact2.6

Composite 4.8/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time575ms−47ms
first ⅓ avg 622ms → last ⅓ avg 575ms
Headshot accuracy15.8%−0.3%
first ⅓ avg 16.2% → last ⅓ avg 15.8%

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

0.23Best match rating · 9–5 · sanctum, 2 Feb →
37%Best headshot accuracy · 3–13 · vertigo, 1 Apr →
438msFastest reaction time · 9–13 · inferno, 1 Oct →
13–0Biggest win · ancient, 9 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

overpassBest map · 63% over 8dust2Weakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
nukeA2213–959%0.01
infernoC125–742%0.01
ancientB115–645%0.02
vertigoC104–640%0.02
mirageD93–633%-0.03
anubisD81–713%-0.03
overpassA85–363%-0.02
trainD62–433%-0.01
dust2D50–50%0.00
cacheC52–340%-0.03
shelter—10–10%0.08
alpine—10–10%0.04
warden—11–0100%0.03
sanctum—11–0100%0.23

Across the last 100 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.

Faceit stats

Combat

8Matches
38%Win rate
0.85Avg K/D
—ADR
26%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLLL

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.

15.2%Headshot accuracy
36.6%Accuracy (enemy spotted)
40.7%Spray accuracy
74.7%Counter-strafing
10.8°Preaim
569msReaction time
36.4%T opening success
34.5%CT opening success
0.45Enemies flashed / flash
3.4%Flash assists
6.04HE damage / grenade
3.72Flashes / 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 0.4493 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 36.4067% — 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
mirage13–70.0828%12 Oct →
vertigo7–130.089%11 Oct →
ancient12–120.0430%6 Oct →
nuke4–13-0.0421%6 Oct →
inferno9–130.0316%1 Oct →
nuke13–70.104%30 Sept →
train1–130.0116%30 Sept →
vertigo13–70.0916%28 Sept →
nuke4–13-0.0313%28 Sept →
dust24–13-0.0214%16 Sept →
inferno4–130.0922%16 Sept →
nuke13–70.1311%15 Sept →
mirage3–13-0.0521%5 Sept →
cache5–13-0.098%14 Aug →
mirage11–13-0.055%14 Aug →
inferno13–3-0.0316%13 Aug →
nuke13–20.0121%3 Aug →
anubis6–13-0.1220%12 Jul →
cache11–13-0.0131%12 Jul →
shelter12–120.0816%9 Jul →
cache13–110.0418%25 Jun →
vertigo8–130.0810%25 Jun →
nuke13–90.0514%24 Jun →
nuke5–13-0.0411%13 Jun →
vertigo13–9-0.0211%1 Jun →
mirage3–130.014%1 Jun →
ancient13–60.0918%1 Jun →
vertigo13–8-0.0114%1 Jun →
cache13–10-0.078%1 Jun →
inferno5–13-0.077%7 May →
nuke13–10-0.0121%6 May →
cache12–12-0.0123%6 May →
inferno10–130.0725%4 May →
inferno13–50.0119%24 Apr →
nuke13–100.0425%23 Apr →
nuke13–11-0.0211%23 Apr →
overpass12–12-0.049%23 Apr →
alpine8–130.0415%21 Apr →
nuke13–60.0322%18 Apr →
overpass13–70.0012%15 Apr →
mirage13–11-0.057%13 Apr →
overpass13–7-0.0019%12 Apr →
anubis9–13-0.0515%12 Apr →
inferno13–20.0317%12 Apr →
ancient13–110.036%10 Apr →
train9–13-0.0215%10 Apr →
anubis11–13-0.006%1 Apr →
vertigo3–13-0.0437%1 Apr →
nuke13–90.049%30 Mar →
nuke8–13-0.0124%28 Mar →
train3–13-0.0518%28 Mar →
mirage6–13-0.0232%25 Mar →
anubis10–13-0.0110%25 Mar →
mirage10–13-0.0120%25 Mar →
inferno6–13-0.0116%25 Mar →
inferno13–60.0313%24 Mar →
ancient8–13-0.086%19 Mar →
dust24–13-0.0116%19 Mar →
nuke13–8-0.057%19 Mar →
warden13–90.0318%19 Mar →
nuke8–13-0.0110%18 Mar →
ancient13–90.0814%18 Mar →
nuke13–20.026%17 Mar →
train13–8-0.0110%15 Mar →
vertigo3–13-0.0124%13 Mar →
dust212–12-0.0020%11 Mar →
ancient3–130.0816%11 Mar →
train10–13-0.0414%11 Mar →
mirage4–13-0.1013%11 Mar →
overpass13–10.0518%11 Mar →
anubis3–13-0.0618%9 Mar →
ancient13–00.0212%9 Mar →
inferno12–16-0.0415%9 Mar →
nuke13–9-0.048%9 Mar →
ancient12–120.0420%9 Mar →
mirage16–13-0.0615%9 Mar →
overpass16–13-0.028%4 Mar →
dust28–13-0.0217%24 Feb →
ancient2–13-0.0415%23 Feb →
inferno13–10-0.0120%23 Feb →
anubis4–130.0411%23 Feb →
train13–50.0716%23 Feb →
inferno12–12-0.0222%23 Feb →
ancient10–13-0.0521%19 Feb →
anubis8–13-0.0521%18 Feb →
overpass13–9-0.1014%18 Feb →
nuke12–12-0.027%16 Feb →
nuke12–120.1123%15 Feb →
vertigo13–7-0.018%11 Feb →
vertigo10–13-0.0115%9 Feb →
anubis13–7-0.0133%5 Feb →
vertigo9–130.0218%3 Feb →
sanctum9–50.2320%2 Feb →
dust210–130.0829%1 Feb →
nuke5–130.006%1 Feb →
ancient13–40.0515%1 Feb →
nuke13–70.0722%31 Jan →
overpass14–160.039%29 Jan →
overpass10–13-0.0425%26 Jan →
nuke6–13-0.035%25 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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