princip

princip — CS2 Stats

RS76561198019065418[U:1:58799690]Steam profile ↗✓ No bans

283Tracked matches46%Win rate2022Tracked since
2,000Hours in CS16Hrs last 2 wks
CSDB Rating4.3 DevelopingClutch Specialist
Premier CS Rating16,650Purple band · top ~21.8% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (45 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: 16,650 +5,752 13 Feb – 12 Sept · 19 days played
10,33117,255peak 17,25513 Feb12 Sept
17,444Peak Premier in tracked matches
44Days played since 2026-02-13

Premier CS Rating

  • 605 below peak (17,255)
  • +1,088 over 30 days · improving
  • +4,693 over 90 days
  • Next: Pink band at 20,000 — 3,350 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Level 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate36.7%42.7%43.8%7.0% short
Shot accuracy10.8%11.2%12.0%1.2% short
Kill/death ratio0.970.991.020.05 short
Match win rate46.0%43.9%44.7%above

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGprincipFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER16,650 · Purple 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

Aim55
Positioning35
Utility54

0–100 skill scores via Leetify.

Recent form

COLD44–51–5Last 10044%Win rateWLLLWLTLWL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +3.7pp headshot accuracy · +74ms reaction

Win rate down 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 -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 678ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 665ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 628ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5.2 against its own average).

Aim5.5
Utility5.4
Positioning3.5
Opening Duels0.3
Clutch10.0

Reliable in 1v1s

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

ZywOo

Plays most like ZywOo 79% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 612ms 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

Aim5.5
Positioning3.5
Utility5.4
Mechanics5.0
Opening Duels0.5
Win Impact3.8

Composite 4.3/10 (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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time620ms−1ms
first ⅓ avg 621ms → last ⅓ avg 620ms
Headshot accuracy16.2%−2.6%
first ⅓ avg 18.8% → last ⅓ avg 16.2%

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

0.12Best match rating · 13–5 · ancient, 29 Aug →
50%Best headshot accuracy · 7–13 · mirage, 14 Jul →
383msFastest reaction time · 3–13 · office, 26 Apr →
13–1Biggest win · inferno, 5 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 67% over 15anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC2611–1542%-0.01
ancientS1510–567%-0.01
officeD133–1023%-0.01
nukeD113–827%0.01
dust2D93–633%-0.04
infernoA95–456%-0.01
anubisD51–420%0.01
cache—43–175%0.01
vertigo—31–233%-0.04
overpass—22–0100%0.03
train—21–150%0.01
alpine—11–0100%-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,464Lifetime kills
0.97K/D
3,147Matches
46.0%Match win rate · Top 50% of Level 4 players
36.7%Headshot %
10.8%Shot accuracy
7,437MVPs
1,027Hours (in match)
1,711Bombs planted
1,082Bombs defused

Most-used weapons

AK-479,584
AWP5,468
SSG 081,966
Knife1,583
P901,157

Lifetime map wins

3,164dust2
2,414inferno
2,123nuke
1,208vertigo
992assault
676office
341lake
269train

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

Faceit stats

Combat

8Matches
50%Win rate
0.70Avg K/D
65.3ADR
50%Headshot %

Clutches & streaks

75%1v1 clutch win
12%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno250%0.8613.0
Anubis20%0.6815.5
Mirage2100%0.7810.5
Vertigo10%0.479.0
Ancient1100%0.447.0

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.

16.5%Headshot accuracy
31.1%Accuracy (enemy spotted)
34.7%Spray accuracy
72.7%Counter-strafing
9.2°Preaim
612msReaction time
33.7%T opening success
30.5%CT opening success
0.61Enemies flashed / flash
5.8%Flash assists
9.12HE damage / grenade
8.13Flashes / 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 33.7087% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass13–80.048%18 Oct →
dust28–13-0.0411%18 Oct →
nuke5–13-0.0921%14 Oct →
dust21–13-0.1314%14 Oct →
nuke13–110.0519%4 Oct →
nuke8–13-0.0528%2 Oct →
mirage12–12-0.0413%23 Sept →
ancient5–13-0.0514%19 Sept →
nuke13–20.0510%12 Sept →
inferno1–13-0.0733%12 Sept →
mirage9–13-0.027%6 Sept →
ancient16–13-0.0311%6 Sept →
mirage7–13-0.0117%4 Sept →
mirage13–7-0.0229%4 Sept →
mirage13–20.029%2 Sept →
ancient13–50.1213%29 Aug →
mirage15–15-0.0318%29 Aug →
mirage3–8-0.116%29 Aug →
mirage7–130.0123%28 Aug →
mirage13–2-0.063%28 Aug →
dust29–13-0.0335%28 Aug →
ancient5–13-0.0711%28 Aug →
cache13–20.0310%22 Aug →
mirage16–130.0318%22 Aug →
ancient13–90.0415%22 Aug →
mirage1–10-0.047%22 Aug →
mirage13–70.0427%22 Aug →
dust27–13-0.0113%7 Aug →
dust213–40.0217%7 Aug →
mirage0–13-0.0825%7 Aug →
train4–13-0.0016%7 Aug →
office5–13-0.0820%7 Aug →
anubis13–90.0113%6 Aug →
ancient16–14-0.0313%6 Aug →
mirage15–15-0.0711%4 Aug →
nuke13–70.0224%4 Aug →
train13–50.0211%4 Aug →
office13–4-0.0218%4 Aug →
anubis7–13-0.0810%4 Aug →
office8–13-0.0613%4 Aug →
office3–13-0.0317%29 Jul →
dust216–14-0.0422%26 Jul →
mirage13–4-0.0219%26 Jul →
ancient13–16-0.0412%23 Jul →
nuke8–130.0822%23 Jul →
inferno13–70.0320%23 Jul →
mirage13–40.0912%22 Jul →
inferno13–110.0814%22 Jul →
mirage13–80.0925%22 Jul →
cache13–8-0.0215%15 Jul →
office13–9-0.1021%15 Jul →
office11–130.0124%14 Jul →
mirage7–13-0.0250%14 Jul →
vertigo13–8-0.0413%14 Jul →
nuke5–13-0.0122%14 Jul →
office12–12-0.0221%14 Jul →
dust29–13-0.0628%13 Jul →
mirage11–13-0.0514%13 Jul →
ancient13–60.019%13 Jul →
alpine13–11-0.0617%8 Jul →
cache13–100.0116%8 Jul →
inferno13–70.0439%8 Jul →
office11–130.0020%8 Jul →
nuke9–13-0.0133%7 Jul →
inferno13–100.0221%5 Jul →
anubis3–130.0625%5 Jul →
office9–13-0.0132%4 Jul →
office9–130.0845%4 Jul →
office13–50.0734%3 Jul →
anubis7–130.0316%3 Jul →
mirage8–130.0012%30 Jun →
ancient11–130.0212%22 Jun →
mirage6–130.0223%18 Jun →
nuke7–90.0111%6 Jun →
ancient13–10-0.018%6 Jun →
vertigo4–9-0.0624%6 Jun →
dust213–50.0012%6 Jun →
anubis7–130.0231%5 Jun →
inferno13–10.0325%5 Jun →
ancient13–30.018%5 Jun →
mirage6–130.0126%5 Jun →
vertigo8–8-0.0211%4 Jun →
inferno4–9-0.1717%4 Jun →
overpass9–40.0233%4 Jun →
ancient7–13-0.0415%4 Jun →
inferno1–13-0.0723%4 Jun →
dust28–13-0.0320%4 Jun →
mirage13–10-0.017%29 May →
mirage13–8-0.018%29 May →
office7–130.0916%17 May →
cache1–80.016%4 May →
office3–13-0.0415%26 Apr →
mirage7–13-0.0440%25 Apr →
mirage13–60.0415%10 Apr →
nuke3–13-0.0026%10 Apr →
ancient13–10-0.0617%21 Feb →
nuke11–130.0417%20 Feb →
ancient13–4-0.0017%14 Feb →
inferno5–130.0021%14 Feb →
ancient13–2-0.027%13 Feb →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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