Krpelj

Krpelj — CS2 Stats

EH76561198959531850[U:1:999266122]Steam profile ↗✓ No bans

4,955Tracked matches44%Win rate2021Tracked since
CSDB Rating6.9 SolidPositional Player
Premier CS Rating25,208Top 10% of 201,122 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)
CSDB Leaderboard#18267 of 247974 tracked
FaceitLevel 10 · 2,250 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (6 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: 25,208 -1,783 30 Aug – 26 Sept · 8 days played
25,20828,025peak 28,02530 Aug26 Sept
Faceit ELO: 2,250 +0 30 Aug – 25 Sept · 4 observations
2,2502,250peak 2,25030 Aug25 Sept
28,425Peak Premier in tracked matches
2,250Highest Faceit ELO seen on CSDB
17Days played since 2026-08-30

Faceit ELO

  • At peak — 2,250
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 250 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-30
  • Level 9 first seen 2026-08-30

Premier CS Rating

  • 2,817 below peak (28,025)
  • -1,783 over 30 days · declining
  • Next: Gold band at 30,000 — 4,792 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-30
  • Pink band first seen 2026-08-30

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.

Share this profile

CSDB.GGKrpeljFACEITLevel 10 · 2,250 ELOSTANDINGTop 12.4% of rankedPREMIER25,208 · Red band30 DAYS0 ELOPEAK ELO2,250csdb.gg/stats

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Performance scores

Aim86
Positioning61
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY38–53–9Last 10038%Win rateLWLWLLLWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +0.0pp headshot accuracy · −61ms reaction

Win rate up 20pp 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 0.01
  • Avg headshot accuracy 30%
  • Avg reaction 456ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 29%
  • Avg reaction 518ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 29%
  • Avg reaction 548ms

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 (+1.3 against its own average).

Aim8.6
Utility4.8
Positioning6.1
Opening Duels4.5
Clutch3.8

Sharp aimerStrong 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

iM

Plays most like iM 93% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.6
Positioning6.1
Utility4.8
Mechanics7.0
Opening Duels6.6
Win Impact3.1

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time555ms−8ms
first ⅓ avg 563ms → last ⅓ avg 555ms
Headshot accuracy30.8%−1.0%
first ⅓ avg 31.8% → last ⅓ avg 30.8%

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

0.19Best match rating · 9–13 · vertigo, 29 Sept →
75%Best headshot accuracy · 2–9 · inferno, 18 Sept →
352msFastest reaction time · 9–1 · inferno, 30 Sept →
13–1Biggest win · cache, 23 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
2–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 80% over 10nukeWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
mirageD186–1233%-0.01
infernoD155–1033%-0.05
nukeD122–1017%-0.01
dust2B115–645%-0.00
vertigoC114–736%0.05
ancientC104–640%0.02
cacheS108–280%0.03
anubisD51–420%0.00
overpass—31–233%0.00
train—32–167%0.05
office—10–10%-0.01
italy—10–10%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,907Matches
51%Win rate
1.20Avg K/D
89.1ADR
54%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
13Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient37149%1.2218.9
Mirage37052%1.1818.4
Inferno20850%1.2117.9
Dust220147%1.0917.5
Anubis17454%1.2519.2
Vertigo12856%1.2819.9
Nuke9850%1.1618.1
Overpass5645%1.1018.5

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.

29.8%Headshot accuracy
32.4%Accuracy (enemy spotted)
36.3%Spray accuracy
81.3%Counter-strafing
8.1°Preaim
546msReaction time
55.5%T opening success
56.9%CT opening success
0.60Enemies flashed / flash
8.0%Flash assists
10.41HE damage / grenade
9.36Flashes / match

Recommended for you

Spend your practice time on Nuke

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0130%2 Oct →
dust213–40.0726%2 Oct →
vertigo8–13-0.0719%2 Oct →
ancient13–100.0745%2 Oct →
mirage1–8-0.0232%2 Oct →
mirage9–130.0523%2 Oct →
mirage8–130.0124%2 Oct →
mirage13–8-0.0337%1 Oct →
mirage13–80.1227%1 Oct →
mirage13–70.0123%1 Oct →
nuke13–80.0522%30 Sept →
overpass6–13-0.0527%30 Sept →
ancient12–120.0221%30 Sept →
dust28–13-0.0832%30 Sept →
vertigo13–80.0630%30 Sept →
ancient12–120.0529%30 Sept →
ancient4–6-0.0638%30 Sept →
vertigo4–60.0126%30 Sept →
nuke6–90.0131%30 Sept →
inferno9–10.0629%30 Sept →
nuke7–130.0126%29 Sept →
cache13–100.0323%29 Sept →
train13–30.0931%29 Sept →
vertigo9–130.1935%29 Sept →
vertigo6–13-0.0826%28 Sept →
nuke3–90.0158%28 Sept →
vertigo8–130.1027%28 Sept →
vertigo13–110.0647%28 Sept →
mirage3–13-0.0629%28 Sept →
inferno1–9-0.2750%28 Sept →
vertigo13–90.1028%28 Sept →
ancient3–13-0.0633%28 Sept →
inferno6–9-0.0729%28 Sept →
inferno3–9-0.1330%28 Sept →
mirage12–12-0.0030%27 Sept →
mirage13–7-0.0648%27 Sept →
mirage12–12-0.0523%27 Sept →
ancient13–60.0235%27 Sept →
inferno9–50.0143%27 Sept →
inferno8–8-0.0627%27 Sept →
inferno2–9-0.2038%27 Sept →
inferno9–60.0555%27 Sept →
inferno9–60.1722%27 Sept →
mirage12–50.0467%27 Sept →
train12–120.0140%27 Sept →
dust29–13-0.0326%27 Sept →
anubis10–130.1028%26 Sept →
inferno13–16-0.0434%26 Sept →
cache13–40.0233%26 Sept →
nuke8–13-0.0120%26 Sept →
nuke6–130.0728%26 Sept →
inferno3–9-0.0732%26 Sept →
cache13–70.0350%25 Sept →
mirage5–13-0.0131%25 Sept →
nuke8–13-0.0736%25 Sept →
cache13–70.0236%25 Sept →
mirage13–70.0122%25 Sept →
inferno1–9-0.1533%25 Sept →
dust213–50.1643%25 Sept →
mirage4–130.0324%24 Sept →
nuke12–120.0119%24 Sept →
cache13–90.0621%24 Sept →
ancient13–60.0622%24 Sept →
dust213–110.0928%24 Sept →
nuke11–30.0226%23 Sept →
cache13–10.0530%23 Sept →
vertigo5–130.0327%23 Sept →
train13–80.0437%21 Sept →
overpass13–90.0713%21 Sept →
ancient13–30.0926%21 Sept →
ancient10–130.0321%20 Sept →
nuke0–13-0.090%20 Sept →
office12–12-0.0128%19 Sept →
anubis9–130.0259%19 Sept →
cache13–20.0827%19 Sept →
inferno12–12-0.0149%19 Sept →
cache10–130.0434%18 Sept →
inferno13–80.1527%18 Sept →
dust23–13-0.0242%18 Sept →
inferno2–9-0.2375%18 Sept →
dust21–7-0.1125%17 Sept →
dust24–130.0128%17 Sept →
dust213–8-0.0221%17 Sept →
anubis0–13-0.0840%17 Sept →
nuke1–13-0.119%17 Sept →
nuke7–130.0014%16 Sept →
vertigo13–50.0936%16 Sept →
cache13–3-0.0225%16 Sept →
anubis13–90.0125%16 Sept →
vertigo11–130.0429%15 Sept →
cache9–13-0.0119%15 Sept →
overpass7–13-0.0165%15 Sept →
italy10–130.0251%15 Sept →
mirage4–13-0.0612%15 Sept →
dust213–8-0.1050%15 Sept →
anubis11–13-0.0429%15 Sept →
mirage5–13-0.0725%15 Sept →
mirage1–13-0.0715%15 Sept →
mirage3–7-0.0540%15 Sept →
ancient4–130.0352%15 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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