Rajapyykki

Rajapyykki — CS2 Stats

FI76561198255878774[U:1:295613046]Steam profile ↗✓ No bans

2,677Tracked matches48%Win rate2020Tracked since
4,687Hours in CS15Hrs last 2 wks
CSDB Rating2.6 LearningPositional Player
Premier CS Rating9,332Light Blue band · top ~58.1% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 9,332 -667 22 Sept – 30 Oct · 23 days played
8,04012,154peak 12,15422 Sept30 Oct
12,154Peak Premier in tracked matches
22Days played since 2026-09-22

Premier CS Rating

  • 2,822 below peak (12,154)
  • -1,054 over 30 days · declining
  • Next: Blue band at 10,000 — 668 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-24
  • Light Blue band first seen 2026-09-22

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

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate34.7%39.9%42.0%7.3% short
Shot accuracy20.7%7.0%9.6%above
Kill/death ratio0.700.920.980.28 short
Match win rate34.5%42.3%43.8%9.3% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRajapyykkiPREMIER9,332 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim30
Positioning43
Utility11

0–100 skill scores via Leetify.

Recent form

HOT45–53–2Last 10045%Win rateWLLWWLWWWW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating · −2.7pp headshot accuracy · +66ms reaction

Win rate up 40pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 8%
  • Avg reaction 714ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 689ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 656ms

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 (+1.9 against its own average).

Aim3.0
Utility1.1
Positioning4.3
Opening Duels0.5
Clutch3.6

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

m0NESY

Plays most like m0NESY 75% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 673ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim3.0
Positioning4.3
Utility1.1
Mechanics3.0
Opening Duels0.7
Win Impact4.4

Composite 2.6/10 (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-0.02+0.04
first ⅓ avg -0.05 → last ⅓ avg -0.02
Reaction time669ms−7ms
first ⅓ avg 676ms → last ⅓ avg 669ms
Headshot accuracy12.5%+2.2%
first ⅓ avg 10.3% → last ⅓ avg 12.5%

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

0.12Best match rating · 13–2 · mirage, 21 Oct →
30%Best headshot accuracy · 5–13 · dust2, 28 Sept →
469msFastest reaction time · 13–1 · mirage, 29 Sept →
13–1Biggest win · inferno, 14 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 62% over 21ancientWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
nukeA2113–862%-0.04
ancientD154–1127%-0.04
dust2D144–1029%-0.04
cacheA148–657%-0.04
mirageA148–657%-0.03
infernoD134–931%-0.03
anubisC94–544%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

113,264Lifetime kills
0.70K/D
7,152Matches
34.5%Match win rate
34.7%Headshot %
20.7%Shot accuracy · Top 1% of Light Blue band
12,310MVPs
2,480Hours (in match)
4,976Bombs planted
862Bombs defused

Most-used weapons

AK-4744,140
AWP6,191
MP93,989
FAMAS3,881
MAC-102,947

Lifetime map wins

10,497inferno
9,839nuke
5,189train
4,786dust2
3,048vertigo
323cbble
193office
191lake

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

Faceit stats

Combat

18Matches
56%Win rate
0.77Avg K/D
73.5ADR
38%Headshot %

Clutches & streaks

38%1v1 clutch win
44%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke540%0.8916.0
Mirage450%0.7716.5
Inferno2100%1.2218.5
Anubis1100%0.9622.0
Ancient1100%0.808.0
Vertigo1100%0.6114.0

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.

12.3%Headshot accuracy
34.4%Accuracy (enemy spotted)
37.0%Spray accuracy
63.4%Counter-strafing
13.3°Preaim
673msReaction time
35.5%T opening success
27.6%CT opening success
0.18Enemies flashed / flash
1.9%Flash assists
3.29HE damage / grenade
0.40Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.2915° — above the 12° mark we flag

    Aim Training →
  2. 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 12.3105% — below the 15% mark we flag

    Aim Training →
  3. 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 0.1829 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.035%30 Oct →
nuke12–16-0.067%27 Oct →
dust214–16-0.0510%27 Oct →
ancient13–60.0610%27 Oct →
cache13–60.0110%27 Oct →
mirage3–13-0.0120%27 Oct →
mirage13–110.0418%27 Oct →
nuke13–7-0.029%25 Oct →
dust213–8-0.006%25 Oct →
ancient13–20.0410%23 Oct →
nuke13–5-0.0817%23 Oct →
inferno5–13-0.049%23 Oct →
anubis6–13-0.0915%22 Oct →
cache13–6-0.0313%22 Oct →
dust28–13-0.0016%22 Oct →
ancient5–13-0.0215%22 Oct →
nuke11–13-0.087%22 Oct →
anubis15–150.0311%21 Oct →
anubis13–5-0.0119%21 Oct →
inferno11–130.019%21 Oct →
nuke13–40.0015%21 Oct →
cache13–3-0.036%21 Oct →
ancient9–130.0319%21 Oct →
dust25–13-0.0616%21 Oct →
mirage10–13-0.0210%21 Oct →
mirage13–20.1216%21 Oct →
dust26–13-0.0215%21 Oct →
nuke13–6-0.0010%21 Oct →
anubis6–13-0.0623%21 Oct →
ancient10–13-0.0612%21 Oct →
ancient5–13-0.058%20 Oct →
nuke13–11-0.0213%20 Oct →
anubis11–13-0.0515%19 Oct →
inferno10–13-0.0512%19 Oct →
cache13–6-0.009%19 Oct →
mirage13–5-0.105%19 Oct →
dust213–5-0.0610%19 Oct →
inferno13–5-0.0414%19 Oct →
nuke14–16-0.049%19 Oct →
cache10–13-0.102%18 Oct →
mirage5–13-0.143%18 Oct →
inferno6–13-0.123%18 Oct →
ancient13–8-0.0512%18 Oct →
mirage16–12-0.076%18 Oct →
cache9–13-0.076%18 Oct →
ancient13–11-0.046%18 Oct →
anubis13–80.0411%15 Oct →
cache13–11-0.0113%15 Oct →
inferno13–100.0012%15 Oct →
anubis10–13-0.026%14 Oct →
inferno13–10.015%14 Oct →
dust213–16-0.0412%14 Oct →
nuke13–50.018%14 Oct →
cache13–7-0.035%14 Oct →
nuke4–13-0.086%13 Oct →
mirage13–6-0.0616%13 Oct →
dust213–4-0.0211%13 Oct →
nuke13–6-0.066%13 Oct →
inferno7–13-0.0217%12 Oct →
mirage10–13-0.0616%12 Oct →
dust28–13-0.0710%12 Oct →
cache13–20.0614%12 Oct →
inferno15–15-0.039%12 Oct →
nuke9–13-0.048%12 Oct →
nuke13–9-0.0710%11 Oct →
cache10–13-0.069%11 Oct →
dust213–50.0310%11 Oct →
ancient8–13-0.0714%11 Oct →
ancient14–16-0.068%11 Oct →
nuke13–11-0.0410%11 Oct →
cache1–13-0.129%11 Oct →
ancient13–16-0.069%10 Oct →
nuke6–13-0.0016%8 Oct →
cache3–13-0.1311%29 Sept →
mirage13–1-0.047%29 Sept →
anubis13–10-0.103%29 Sept →
nuke16–12-0.084%29 Sept →
mirage13–7-0.0111%29 Sept →
nuke13–8-0.106%29 Sept →
ancient12–16-0.077%29 Sept →
mirage13–5-0.015%29 Sept →
anubis13–7-0.0414%29 Sept →
dust26–13-0.0412%28 Sept →
ancient11–13-0.090%28 Sept →
dust25–13-0.0613%28 Sept →
inferno4–13-0.075%28 Sept →
cache7–13-0.039%28 Sept →
dust25–13-0.0730%28 Sept →
inferno16–14-0.0620%28 Sept →
ancient6–13-0.135%28 Sept →
inferno8–13-0.0112%27 Sept →
inferno10–13-0.0513%27 Sept →
ancient6–13-0.017%26 Sept →
dust26–13-0.0414%26 Sept →
nuke13–110.0317%24 Sept →
nuke10–13-0.066%24 Sept →
nuke9–130.0311%24 Sept →
mirage8–13-0.0415%24 Sept →
mirage6–13-0.0313%24 Sept →
cache13–9-0.086%23 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.