aisaatanapiispa

aisaatanapiispa — CS2 Stats

FI76561198173513419[U:1:213247691]Steam profile ↗✓ No bans

1,336Tracked matches50%Win rate2023Tracked since
1,403Hours in CS7Hrs last 2 wks
CSDB Rating4.2 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (64 days ago). Ranks are recorded once per day this page is viewed.

+14Tracked matches · now 1,336
+7.7ppWin rate · 42.3% → 50.0%

Rating over time

8,398Peak Premier in tracked matches
37Days played since 2026-03-12

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

Performance scores

Aim51
Positioning36
Utility46

0–100 skill scores via Leetify.

Recent form

COLD33–56–11Last 10033%Win rateLWWLLLLLLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −2.4pp headshot accuracy · +48ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 27%
  • Avg reaction 594ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 633ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 609ms

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 (+1.9 against its own average).

Aim5.1
Utility4.6
Positioning3.6
Opening Duels0.0

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 79% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 623ms 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

Aim5.1
Positioning3.6
Utility4.6
Mechanics4.5
Opening Duels0.7
Win Impact5.0

Composite 4.2/10 (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-0.01+0.04
first ⅓ avg -0.05 → last ⅓ avg -0.01
Reaction time615ms−80ms
first ⅓ avg 695ms → last ⅓ avg 615ms
Headshot accuracy19.6%+1.2%
first ⅓ avg 18.4% → last ⅓ avg 19.6%

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 · dust2, 5 Nov →
45%Best headshot accuracy · 13–4 · cache, 5 Nov →
141msFastest reaction time · 8–0 · nuke, 18 Sept →
13–3Biggest win · dust2, 5 Nov →

Across the last 100 tracked matches.

Highlights

3Longest win streak
8–3In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 53% over 15infernoWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
dust2D268–1831%-0.02
mirageC259–1636%-0.05
cacheB158–753%-0.03
infernoD143–1121%-0.05
nukeD103–730%-0.06
anubis—42–250%-0.03
ancient—40–40%-0.09
overpass—10–10%-0.13
vertigo—10–10%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,109Lifetime kills
0.71K/D
2,200Matches
42.9%Match win rate
48.9%Headshot % · Top 50% of tracked players
3.8%Shot accuracy
3,796MVPs
879Hours (in match)
1,859Bombs planted
1,188Bombs defused

Most-used weapons

Lifetime map wins

3,974inferno
3,637dust2
2,626nuke
2,034vertigo
524train
232cbble
17office
16assault

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.

19.4%Headshot accuracy
31.7%Accuracy (enemy spotted)
28.0%Spray accuracy
70.4%Counter-strafing
9.3°Preaim
623msReaction time
35.7%T opening success
27.6%CT opening success
0.61Enemies flashed / flash
4.6%Flash assists
8.65HE damage / grenade
7.58Flashes / 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

    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 35.6978% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0423%5 Nov →
dust213–30.1524%5 Nov →
cache13–40.0945%5 Nov →
dust25–130.0419%5 Nov →
inferno5–9-0.0224%5 Nov →
dust24–13-0.0921%4 Nov →
mirage10–13-0.0212%20 Sept →
dust25–13-0.0417%18 Sept →
mirage0–13-0.0119%18 Sept →
nuke8–0-0.120%18 Sept →
mirage7–13-0.0317%10 Sept →
mirage13–7-0.0324%10 Sept →
anubis9–13-0.1027%2 Sept →
dust29–20.1329%2 Sept →
cache13–40.0533%28 Aug →
dust213–60.0219%28 Aug →
mirage8–13-0.0426%28 Aug →
mirage13–10-0.0117%28 Aug →
inferno12–12-0.068%27 Aug →
cache13–30.0827%27 Aug →
mirage13–11-0.0210%27 Aug →
cache7–13-0.065%27 Aug →
nuke10–13-0.0714%27 Aug →
dust212–12-0.0221%26 Aug →
anubis13–110.0411%26 Aug →
nuke13–8-0.0312%23 Aug →
ancient4–13-0.0514%23 Aug →
mirage9–130.0029%18 Aug →
cache13–70.0124%18 Aug →
nuke9–00.0215%18 Aug →
ancient4–13-0.0424%17 Aug →
mirage10–13-0.0711%17 Aug →
inferno13–5-0.0325%17 Aug →
dust23–13-0.1310%17 Aug →
mirage1–13-0.1210%16 Aug →
inferno12–12-0.0323%16 Aug →
dust214–16-0.0516%16 Aug →
anubis9–13-0.0327%16 Aug →
nuke12–12-0.068%16 Aug →
mirage13–70.0319%15 Aug →
ancient3–13-0.1527%14 Aug →
inferno9–13-0.0413%14 Aug →
cache9–13-0.0517%14 Aug →
nuke1–13-0.118%14 Aug →
mirage13–11-0.0812%13 Aug →
dust211–13-0.0317%13 Aug →
dust26–13-0.0516%13 Aug →
inferno12–120.0315%13 Aug →
mirage3–13-0.1030%13 Aug →
dust210–13-0.0614%12 Aug →
overpass10–13-0.1320%12 Aug →
inferno12–12-0.108%12 Aug →
cache13–11-0.0720%12 Aug →
mirage8–13-0.1127%12 Aug →
dust213–70.0517%12 Aug →
nuke5–13-0.0413%12 Aug →
inferno7–13-0.0817%10 Aug →
dust29–13-0.0520%10 Aug →
mirage5–13-0.1021%10 Aug →
cache13–4-0.0619%2 Aug →
dust213–4-0.0219%2 Aug →
mirage13–11-0.099%31 Jul →
cache10–13-0.0615%28 Jul →
mirage13–16-0.0230%25 Jul →
inferno13–11-0.0130%16 Jul →
ancient3–13-0.125%16 Jul →
anubis13–11-0.0320%16 Jul →
dust213–7-0.0617%16 Jul →
dust210–13-0.0521%10 Jul →
mirage13–10-0.0513%10 Jul →
dust27–13-0.0111%9 Jul →
nuke0–13-0.076%8 Jul →
mirage4–13-0.0711%8 Jul →
dust212–120.0218%4 Jul →
cache10–130.0423%4 Jul →
inferno13–8-0.0119%20 May →
mirage12–12-0.0611%20 May →
dust211–13-0.0821%20 May →
inferno12–12-0.0716%19 May →
dust213–10-0.0113%19 May →
dust24–13-0.0713%18 May →
mirage13–7-0.0419%18 May →
inferno7–13-0.0520%18 May →
nuke9–13-0.1110%9 May →
vertigo12–12-0.054%9 May →
cache5–13-0.0638%9 May →
cache13–9-0.0217%9 May →
cache4–13-0.1524%8 May →
cache13–11-0.0718%3 May →
cache10–13-0.0820%3 May →
dust23–13-0.0532%26 Apr →
inferno10–13-0.0516%26 Apr →
mirage13–6-0.0330%26 Apr →
dust212–12-0.0727%27 Mar →
dust213–60.0035%23 Mar →
mirage8–13-0.0817%23 Mar →
inferno5–13-0.114%23 Mar →
dust26–13-0.0821%23 Mar →
mirage7–13-0.0513%12 Mar →
nuke5–13-0.0329%12 Mar →

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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