peteistö

peteistö — CS2 Stats

FI76561199003718879[U:1:1043453151]Steam profile ↗✓ No bans

606Tracked matches37%Win rate2021Tracked since
CSDB Rating4.0 DevelopingSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 11,364 +741 19 Nov – 11 May · 36 days played
8,97316,544peak 16,54419 Nov11 May
16,943Peak Premier in tracked matches
52Days played since 2025-11-16

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

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CSDB.GGpeteistöFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim50
Positioning31
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY48–52Last 10048%Win rateLLLLWWLWLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +1.0pp headshot accuracy · −60ms reaction

Win rate −10pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 545ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 548ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 578ms

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 (+2.7 against its own average).

Aim5.0
Utility5.2
Positioning3.1
Opening Duels0.7
Clutch1.0

Strong CT-side opener

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 85% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 43% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 611ms 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

Aim5.0
Positioning3.1
Utility5.2
Mechanics5.6
Opening Duels1.6
Win Impact0.6

Composite 4.0/10 (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-0.03−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time606ms−16ms
first ⅓ avg 622ms → last ⅓ avg 606ms
Headshot accuracy10.1%+1.3%
first ⅓ avg 8.8% → last ⅓ avg 10.1%

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 · 13–2 · nuke, 11 Jan →
25%Best headshot accuracy · 6–13 · inferno, 11 May →
430msFastest reaction time · 12–16 · inferno, 10 Dec →
13–1Biggest win · inferno, 7 Apr →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L4Current streak
6–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 59% over 27infernoWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA2716–1159%-0.03
nukeA2715–1256%-0.01
ancientC177–1041%-0.02
infernoD133–1023%-0.01
overpassC94–544%-0.03
anubis—32–167%-0.02
dust2—31–233%-0.01
train—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

39Matches
51%Win rate
0.73Avg K/D
74.9ADR
31%Headshot %

Clutches & streaks

25%1v1 clutch win
22%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient333%0.539.0
Mirage367%1.0714.7
Anubis367%0.7516.0
Inferno2100%0.7513.5
Nuke250%1.0317.5
Overpass250%0.9115.5
Dust21100%0.647.0
Vertigo10%0.8319.0

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.

10.5%Headshot accuracy
33.4%Accuracy (enemy spotted)
35.2%Spray accuracy
75.3%Counter-strafing
10.1°Preaim
611msReaction time
18.1%T opening success
43.0%CT opening success
0.57Enemies flashed / flash
7.7%Flash assists
9.19HE damage / grenade
6.83Flashes / 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 10.5221% — below the 15% mark we flag

    Aim Training →
  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 18.0538% — 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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.056%26 Sept →
inferno8–13-0.0117%25 Sept →
inferno6–13-0.0925%11 May →
nuke11–13-0.0111%7 May →
mirage13–9-0.0414%7 May →
nuke13–7-0.033%7 Apr →
mirage3–8-0.023%7 Apr →
inferno13–10.0913%7 Apr →
overpass8–13-0.0110%10 Mar →
nuke13–4-0.0211%7 Mar →
mirage13–6-0.0016%3 Mar →
ancient13–30.0514%27 Feb →
inferno2–13-0.0013%26 Feb →
ancient13–11-0.026%18 Feb →
nuke9–13-0.0410%18 Feb →
overpass13–11-0.0011%15 Feb →
mirage3–13-0.086%15 Feb →
mirage6–13-0.072%14 Feb →
inferno7–13-0.0612%12 Feb →
mirage13–11-0.0314%12 Feb →
ancient10–13-0.1010%11 Feb →
inferno10–13-0.0413%11 Feb →
nuke8–13-0.0711%11 Feb →
mirage11–13-0.083%11 Feb →
ancient9–13-0.0415%10 Feb →
nuke13–6-0.0111%10 Feb →
anubis4–13-0.0811%10 Feb →
mirage2–13-0.029%10 Feb →
overpass13–4-0.108%10 Feb →
ancient13–16-0.038%10 Feb →
nuke13–50.0410%8 Feb →
nuke13–7-0.026%7 Feb →
nuke13–9-0.054%7 Feb →
mirage13–9-0.0715%6 Feb →
nuke9–13-0.0111%5 Feb →
overpass13–80.007%1 Feb →
ancient13–50.049%1 Feb →
mirage13–10-0.0211%1 Feb →
mirage13–11-0.067%1 Feb →
ancient13–80.027%31 Jan →
anubis13–70.0113%31 Jan →
overpass13–40.0614%30 Jan →
mirage13–5-0.054%30 Jan →
inferno8–13-0.004%28 Jan →
anubis13–100.017%27 Jan →
overpass4–13-0.0511%27 Jan →
nuke9–130.009%25 Jan →
inferno8–13-0.0514%25 Jan →
mirage11–13-0.019%25 Jan →
nuke13–11-0.032%23 Jan →
ancient6–13-0.079%23 Jan →
nuke13–5-0.064%23 Jan →
nuke14–16-0.0212%23 Jan →
mirage13–70.0211%23 Jan →
nuke13–90.053%23 Jan →
nuke11–130.1013%22 Jan →
mirage8–13-0.0410%21 Jan →
nuke13–60.0312%21 Jan →
nuke6–13-0.0124%20 Jan →
ancient13–70.0213%19 Jan →
ancient3–13-0.068%19 Jan →
nuke13–7-0.044%19 Jan →
nuke13–50.006%18 Jan →
inferno16–12-0.0310%18 Jan →
mirage4–13-0.1010%18 Jan →
nuke5–13-0.038%18 Jan →
mirage13–10-0.0114%17 Jan →
mirage13–70.059%17 Jan →
dust216–14-0.0313%16 Jan →
inferno7–130.0010%11 Jan →
nuke13–20.1015%11 Jan →
ancient4–13-0.066%11 Jan →
mirage16–13-0.068%11 Jan →
inferno10–70.016%9 Jan →
ancient7–13-0.0413%8 Jan →
overpass11–13-0.065%8 Jan →
train10–13-0.0212%8 Jan →
overpass10–130.007%6 Jan →
nuke2–13-0.055%6 Jan →
ancient13–70.0311%6 Jan →
nuke8–13-0.064%4 Jan →
mirage13–10-0.073%3 Jan →
dust214–16-0.009%3 Jan →
mirage13–10.0211%30 Dec →
nuke13–8-0.100%22 Dec →
ancient5–13-0.047%22 Dec →
ancient11–13-0.0210%21 Dec →
mirage6–13-0.0213%12 Dec →
dust212–16-0.017%10 Dec →
inferno12–16-0.0212%10 Dec →
inferno10–130.0222%30 Nov →
mirage12–160.017%30 Nov →
ancient13–8-0.048%30 Nov →
mirage13–30.0811%29 Nov →
overpass7–13-0.0911%28 Nov →
mirage13–8-0.028%23 Nov →
nuke13–100.0710%19 Nov →
ancient1–6-0.060%19 Nov →
nuke4–13-0.0315%17 Nov →
mirage13–100.003%16 Nov →

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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