PÄHKINÄ

PÄHKINÄ — CS2 Stats

76561197967396867[U:1:7131139]Steam profile ↗✓ No bans

1,489Tracked matches32%Win rate2020Tracked since
1,372Hours in CS
CSDB Rating4.7 DevelopingSupport
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (67 days ago). Ranks are recorded once per day this page is viewed.

+9Tracked matches · now 1,489
−7.2ppWin rate · 39.3% → 32.1%

Rating over time

32Days played since 2025-11-05

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate49.4%44.8%45.7%above
Shot accuracy19.6%12.4%12.7%above
Kill/death ratio1.031.031.05meets
Match win rate44.2%45.2%45.7%1.4% short

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPÄHKINÄFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim49
Positioning55
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY41–50–9Last 10041%Win rateWLWWLLLLWW

Last 10 vs previous 10: −10pp win rate · −0.07 avg rating · −5.6pp headshot accuracy · −27ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 583ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 607ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 621ms

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 (+1.1 against its own average).

Aim4.9
Utility6.1
Positioning5.5
Opening Duels3.4

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

m0NESY

Plays most like m0NESY 69% 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

T-side openings. Opening success drops from 49% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 627ms 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

Aim4.9
Positioning5.5
Utility6.1
Mechanics6.6
Opening Duels2.5
Win Impact0.0

Composite 4.7/10 (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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time629ms−1ms
first ⅓ avg 630ms → last ⅓ avg 629ms
Headshot accuracy20.2%+1.1%
first ⅓ avg 19.2% → last ⅓ avg 20.2%

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

0.32Best match rating · 9–1 · overpass, 7 May →
40%Best headshot accuracy · 6–13 · dust2, 21 Aug →
359msFastest reaction time · 13–5 · inferno, 14 Nov →
13–3Biggest win · mirage, 23 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–10In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 67% over 15mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2D217–1433%-0.02
nukeC188–1044%0.03
infernoS1510–567%0.00
overpassA95–456%0.04
mirageD71–614%-0.03
ancientD51–420%-0.03
anubisD51–420%-0.03
poseidon—41–325%-0.00
cache—42–250%-0.03
vertigo—31–233%-0.06
eldorado—22–0100%0.17
debris—21–150%0.10
train—21–150%0.02
sanctum—20–20%-0.06
rooftop—10–10%0.12

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,928Lifetime kills
1.03K/D
3,211Matches
44.2%Match win rate
49.4%Headshot % · Top 50% of Level 6 players
19.6%Shot accuracy · Top 5% of Level 6 players
7,440MVPs
1,372Hours (in match)
3,283Bombs planted
701Bombs defused

Most-used weapons

AK-4724,688
AWP3,329
FAMAS2,459
MAC-101,506
MP91,470

Lifetime map wins

6,704inferno
5,709dust2
3,677nuke
2,017vertigo
1,444train
81cbble
56dust
50lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

436Matches
52%Win rate
1.06Avg K/D
—ADR
40%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

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.

19.9%Headshot accuracy
29.7%Accuracy (enemy spotted)
30.3%Spray accuracy
79.5%Counter-strafing
11.7°Preaim
627msReaction time
30.6%T opening success
49.1%CT opening success
0.61Enemies flashed / flash
7.7%Flash assists
11.43HE damage / grenade
11.46Flashes / 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 30.5944% — below the 40% mark we flag

Spend your practice time on Mirage

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–40.0336%20 Oct →
inferno6–9-0.1421%22 Sept →
nuke9–20.0520%22 Sept →
nuke13–110.0119%8 Sept →
dust26–13-0.0523%8 Sept →
inferno5–13-0.0412%8 Sept →
nuke7–9-0.0418%7 Sept →
inferno8–13-0.098%7 Sept →
inferno9–70.0417%7 Sept →
eldorado9–50.169%28 Aug →
poseidon9–40.0836%28 Aug →
overpass9–50.0127%28 Aug →
debris9–50.1811%28 Aug →
nuke9–70.0622%28 Aug →
nuke11–130.0111%22 Aug →
mirage12–12-0.0029%22 Aug →
inferno13–8-0.0026%21 Aug →
dust26–13-0.0340%21 Aug →
debris7–90.0320%21 Aug →
nuke9–10.3016%21 Aug →
inferno9–40.0414%21 Aug →
overpass9–20.1314%21 Aug →
eldorado9–30.1814%21 Aug →
vertigo6–9-0.1613%21 Aug →
train13–70.0433%15 Aug →
cache11–13-0.0119%19 Jun →
dust213–6-0.0321%19 Jun →
inferno13–9-0.0222%19 Jun →
dust27–13-0.0312%13 Jun →
ancient2–13-0.0711%13 Jun →
dust23–130.0132%5 Jun →
nuke6–130.0117%23 May →
dust21–13-0.1123%22 May →
anubis3–13-0.0620%22 May →
cache13–11-0.0118%22 May →
poseidon8–80.0738%7 May →
sanctum6–9-0.093%7 May →
inferno9–20.1132%7 May →
overpass9–10.3218%7 May →
vertigo7–90.0215%7 May →
nuke9–20.1117%7 May →
nuke9–20.1118%1 May →
inferno7–9-0.0212%1 May →
poseidon8–8-0.0526%1 May →
cache13–10-0.0112%30 Apr →
cache12–12-0.083%30 Apr →
overpass9–30.0320%28 Apr →
inferno9–40.0822%28 Apr →
sanctum8–8-0.0320%28 Apr →
poseidon2–9-0.1017%28 Apr →
dust211–130.0217%21 Apr →
mirage7–13-0.0821%21 Apr →
nuke11–130.0117%21 Apr →
anubis14–16-0.0522%18 Apr →
mirage9–13-0.0414%18 Apr →
dust28–13-0.0314%18 Apr →
anubis8–13-0.0223%18 Apr →
dust213–100.0030%11 Apr →
inferno13–110.0330%11 Apr →
dust213–7-0.0421%5 Apr →
anubis13–9-0.0219%5 Apr →
anubis7–13-0.0126%5 Apr →
ancient16–140.0123%3 Apr →
dust27–13-0.0516%3 Apr →
mirage10–13-0.0117%3 Apr →
nuke12–16-0.0324%3 Apr →
dust24–13-0.0233%21 Mar →
overpass5–9-0.0328%13 Jan →
rooftop5–90.1227%13 Jan →
nuke10–13-0.1421%11 Jan →
dust26–13-0.0826%10 Jan →
mirage13–3-0.0410%23 Nov →
nuke10–13-0.0225%23 Nov →
inferno3–13-0.0425%23 Nov →
dust213–100.0117%23 Nov →
dust213–11-0.0028%14 Nov →
inferno13–5-0.0315%14 Nov →
dust213–60.0219%14 Nov →
nuke10–13-0.0314%14 Nov →
ancient10–13-0.047%14 Nov →
mirage11–13-0.0210%14 Nov →
dust215–15-0.0617%13 Nov →
nuke16–14-0.0218%13 Nov →
train10–13-0.019%13 Nov →
nuke2–13-0.0723%13 Nov →
dust24–13-0.0318%13 Nov →
ancient12–12-0.0128%11 Nov →
dust29–130.0413%11 Nov →
inferno13–110.0620%11 Nov →
mirage7–13-0.0410%11 Nov →
ancient0–13-0.0440%11 Nov →
dust212–12-0.0412%7 Nov →
nuke10–13-0.0729%7 Nov →
overpass9–60.1319%5 Nov →
overpass1–9-0.168%5 Nov →
overpass5–9-0.0828%5 Nov →
overpass8–80.0220%5 Nov →
inferno9–60.0518%5 Nov →
vertigo9–7-0.0418%5 Nov →
nuke9–10.2817%5 Nov →

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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