Peräkoira

Peräkoira — CS2 Stats

76561199021053111[U:1:1060787383]Steam profile ↗✓ No bans

1,245Tracked matches34%Win rate2020Tracked since
CSDB Rating3.1 LearningSupport
WingmanDistinguished Master Guardian
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 47 days played since 6 Jan 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 12,641 +1,003 6 Jan13 Jan · 3 days played
11,63812,641peak 12,6416 Jan13 Jan
12,641Peak Premier in tracked matches
1,355Highest Faceit ELO seen on CSDB
47Days played since 2026-01-06

Faceit ELO

  • At peak — 1,355
  • Next: Level 8 at 1,531 176 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGPeräkoiraPEAK ELO1,355csdb.gg/stats

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Performance scores

Aim52
Positioning37
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY36595Last 10036%Win rateLWLWLWWLLW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −2.0pp headshot accuracy · −113ms reaction

Win rate up 20pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 556ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 590ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 646ms

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: SupportUtility contribution stands above the rest of this profile (+1 against its own average).

Aim5.2
Utility3.7
Positioning3.7
Opening Duels0.0
Clutch3.2

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

sh1ro

Plays most like sh1ro 84% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 651ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim5.2
Positioning3.7
Utility3.7
Mechanics4.0
Opening Duels0.0
Win Impact0.0

Composite 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time651ms+6ms
first ⅓ avg 645ms → last ⅓ avg 651ms
Headshot accuracy15.6%+0.1%
first ⅓ avg 15.5% → last ⅓ avg 15.6%

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

0.14Best match rating · 9–2 · sanctum, 31 Mar
67%Best headshot accuracy · 0–9 · poseidon, 31 Mar
438msFastest reaction time · 4–9 · inferno, 12 May
13–2Biggest win · mirage, 16 Jan

Across the last 100 tracked matches.

Highlights

3Longest win streak
84In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 62% over 13infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeD1551033%-0.07
mirageA138562%-0.02
dust2C125742%-0.01
anubisC114736%-0.00
ancientC114736%-0.04
infernoD82625%-0.05
poseidonD82625%-0.07
cacheD72529%-0.03
vertigoC52340%-0.07
overpass3030%-0.04
alpine2020%-0.00
fachwerk1010%0.07
train110100%0.03
sanctum110100%0.14
stronghold1010%0.06
golden1010%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

980Matches
48%Win rate
0.88Avg K/D
69.9ADR
38%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage30049%0.9414.3
Nuke15451%0.8814.1
Anubis10252%0.9614.8
Ancient10049%0.8613.2
Dust26133%0.7512.5
Train5758%0.9714.4
Inferno4443%0.7912.4
Vertigo1354%1.1114.8

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.

17.2%Headshot accuracy
34.0%Accuracy (enemy spotted)
37.8%Spray accuracy
68.1%Counter-strafing
10.3°Preaim
651msReaction time
24.9%T opening success
29.4%CT opening success
0.43Enemies flashed / flash
5.6%Flash assists
6.66HE damage / grenade
4.50Flashes / 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 0.4258 — 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 24.8785% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0212%13 Sept
mirage13–7-0.0440%13 Sept
nuke9–13-0.066%4 Sept
vertigo13–9-0.0422%1 Sept
anubis10–130.0021%14 Aug
cache13–10-0.0411%9 Aug
mirage13–9-0.0313%5 Aug
dust24–13-0.0614%5 Aug
nuke0–13-0.0817%5 Aug
nuke13–60.0420%26 Jul
cache16–130.0516%18 Jul
fachwerk9–130.0713%13 Jul
cache2–13-0.0628%13 Jul
ancient7–13-0.0510%3 Jul
nuke13–7-0.1024%3 Jul
train13–80.0324%3 Jul
anubis11–13-0.039%3 Jul
dust210–13-0.0120%3 Jul
cache3–13-0.0623%28 Jun
mirage10–130.0330%24 May
cache7–13-0.0714%14 May
cache12–120.0117%12 May
inferno4–9-0.0816%12 May
nuke9–7-0.1611%12 May
cache5–13-0.0024%2 May
mirage13–80.037%27 Apr
vertigo6–13-0.048%26 Apr
vertigo1–9-0.184%19 Apr
inferno13–7-0.060%14 Apr
poseidon5–9-0.0821%14 Apr
dust29–13-0.0214%14 Apr
nuke0–9-0.306%14 Apr
overpass5–9-0.060%14 Apr
inferno8–8-0.0420%14 Apr
poseidon9–7-0.0123%14 Apr
vertigo9–40.1019%14 Apr
vertigo3–9-0.2221%13 Apr
nuke6–9-0.1311%13 Apr
overpass6–9-0.0020%13 Apr
inferno5–9-0.0613%13 Apr
poseidon4–9-0.0815%13 Apr
poseidon8–8-0.0322%13 Apr
poseidon1–9-0.1820%13 Apr
poseidon3–9-0.1022%13 Apr
dust26–130.0916%13 Apr
mirage2–13-0.0224%13 Apr
nuke8–13-0.0127%10 Apr
ancient13–10-0.065%9 Apr
mirage13–110.0111%9 Apr
inferno13–90.0613%9 Apr
inferno2–13-0.0514%9 Apr
ancient13–6-0.0110%8 Apr
dust215–15-0.0121%7 Apr
nuke7–13-0.0711%7 Apr
ancient3–13-0.087%7 Apr
sanctum9–20.1427%31 Mar
poseidon9–60.0826%31 Mar
poseidon0–9-0.1767%31 Mar
dust213–110.055%31 Mar
anubis11–13-0.007%18 Mar
nuke10–13-0.029%16 Mar
alpine12–12-0.018%11 Mar
ancient7–13-0.0111%11 Mar
mirage20–22-0.0328%3 Mar
anubis13–30.0820%3 Mar
ancient13–80.0126%3 Mar
mirage10–13-0.0311%3 Mar
inferno8–13-0.0514%20 Feb
ancient6–13-0.0722%20 Feb
ancient3–13-0.0810%15 Feb
nuke13–10-0.0413%11 Feb
mirage5–130.0016%11 Feb
ancient8–13-0.0310%6 Feb
alpine12–80.008%6 Feb
stronghold10–130.0612%6 Feb
anubis13–8-0.0116%3 Feb
dust25–13-0.0117%3 Feb
nuke6–13-0.0421%2 Feb
dust216–12-0.0214%30 Jan
anubis6–130.0326%22 Jan
mirage16–13-0.0316%20 Jan
mirage13–11-0.049%18 Jan
nuke1–13-0.0410%18 Jan
anubis5–13-0.0510%18 Jan
anubis7–13-0.0910%16 Jan
overpass9–13-0.0716%16 Jan
mirage13–2-0.0225%16 Jan
dust213–10-0.0312%16 Jan
dust213–11-0.0115%15 Jan
ancient1–13-0.068%13 Jan
anubis7–130.0212%13 Jan
dust27–3-0.046%13 Jan
nuke2–13-0.0816%12 Jan
anubis13–50.0612%12 Jan
anubis13–6-0.0367%9 Jan
golden3–13-0.079%9 Jan
inferno5–13-0.1015%9 Jan
mirage13–8-0.037%8 Jan
nuke13–110.0425%7 Jan
ancient13–11-0.0113%6 Jan

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 →