palle1900

palle1900 — CS2 Stats

76561199672525044[U:1:1712259316]Steam profile ↗✓ No bans

1,821Tracked matches52%Win rate2024Tracked since
1,651Hours in CS
CSDB Rating4.5 DevelopingPositional Player
FaceitLevel 2 · 691 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (33 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 691 → 691
+90Tracked matches · now 1,821
−13.8ppWin rate · 65.5% → 51.7%

Rating over time

Premier CS Rating: 2,099 -237 19 Jun – 20 Jun · 2 days played
2,0992,336peak 2,33619 Jun20 Jun
Faceit ELO: 691 +0 29 Aug – 24 Sept · 5 observations
691691peak 69129 Aug24 Sept
2,336Peak Premier in tracked matches
691Highest Faceit ELO seen on CSDB
65Days played since 2026-06-07

Faceit ELO

  • At peak — 691
  • 0 over 30 days · steady
  • Next: Level 3 at 751 — 60 to go
  • Reached: Level 2
  • Level 2 first seen 2026-08-29

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches164152+12
Win rate43%51%−7pp
K/D0.730.81−0.08
Headshot %36%34%+1pp

Measured 24 Sep 2026 → 27 Oct 2026; previous 29 Aug 2026 → 24 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate36.4%41.3%41.8%5.4% short
Shot accuracy0.0%12.7%12.2%12.2% short
Kill/death ratio0.660.950.980.32 short
Match win rate44.9%42.6%43.3%above

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGpalle1900FACEITLevel 2 · 691 ELOSTANDINGTop 97.9% of ranked30 DAYS0 ELOPEAK ELO691csdb.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

Aim50
Positioning60
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWWWWWLLWLL

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +0.8pp headshot accuracy · −52ms 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

  • 5–0 · 100% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 586ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 598ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 624ms

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).

Aim5.0
Utility4.2
Positioning6.0
Opening Duels3.5
Clutch2.6

Strong 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

m0NESY

Plays most like m0NESY 77% 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

Strengths

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 64% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 607ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim5.0
Positioning6.0
Utility4.2
Mechanics3.8
Opening Duels5.9
Win Impact5.6

Composite 4.5/10 (Developing), 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+0.03
first ⅓ avg -0.05 → last ⅓ avg -0.02
Reaction time609ms−65ms
first ⅓ avg 674ms → last ⅓ avg 609ms
Headshot accuracy15.5%+2.0%
first ⅓ avg 13.5% → last ⅓ avg 15.5%

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

0.09Best match rating · 13–7 · inferno, 31 Jul →
39%Best headshot accuracy · 13–10 · cache, 9 Sept →
422msFastest reaction time · 9–13 · inferno, 1 Jul →
13–3Biggest win · ancient, 11 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W5Current streak
12–7In matches decided by ≤2 rounds
21Overtime games

Map breakdown

anubisBest map · 67% over 9mirageWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC2812–1643%-0.03
nukeA2011–955%-0.04
ancientB179–853%-0.05
cacheA106–460%-0.02
anubisS96–367%-0.02
mirageD62–433%-0.04
dust2C52–340%-0.04
overpass—31–233%-0.02
vertigo—11–0100%0.03
italy—10–10%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,400Lifetime kills
0.66K/D
3,794Matches
44.9%Match win rate · Top 50% of Level 2 players
36.4%Headshot %
0.0%Shot accuracy
5,213MVPs
1,651Hours (in match)
5,228Bombs planted
732Bombs defused

Most-used weapons

AK-4713,027
AWP11,025
Knife1,840
MP9909

Lifetime map wins

8,000inferno
7,130nuke
3,113dust2
1,498train
1,060vertigo
27italy

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

Faceit stats

Combat

2,332Matches
49%Win rate
0.75Avg K/D
58.8ADR
35%Headshot %

Clutches & streaks

33%1v1 clutch win
15%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno51247%0.7911.5
Ancient50453%0.7211.5
Nuke43751%0.7511.6
Mirage33044%0.7511.0
Anubis18043%0.7311.7
Dust215647%0.7311.2
Train8064%0.8011.3
Overpass5944%0.6510.9

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.

15.1%Headshot accuracy
34.5%Accuracy (enemy spotted)
36.8%Spray accuracy
66.9%Counter-strafing
10.9°Preaim
607msReaction time
42.7%T opening success
64.3%CT opening success
0.41Enemies flashed / flash
9.8%Flash assists
6.68HE damage / grenade
7.56Flashes / 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 0.4109 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–110.0330%25 Oct →
inferno13–50.0116%24 Oct →
cache16–140.0113%21 Oct →
cache13–40.0621%19 Oct →
anubis13–8-0.0127%19 Oct →
ancient12–16-0.0317%16 Oct →
anubis5–13-0.046%16 Oct →
ancient13–90.0325%13 Oct →
nuke10–13-0.055%11 Oct →
nuke8–13-0.0111%11 Oct →
cache5–13-0.0933%10 Oct →
dust27–13-0.0113%10 Oct →
inferno11–130.017%10 Oct →
nuke17–190.0114%9 Oct →
mirage11–13-0.0529%9 Oct →
cache12–16-0.0311%7 Oct →
nuke13–7-0.0016%7 Oct →
cache13–80.0119%7 Oct →
mirage15–15-0.0311%6 Oct →
ancient14–16-0.0811%5 Oct →
inferno8–130.0025%3 Oct →
ancient16–14-0.019%2 Oct →
inferno13–11-0.0513%2 Oct →
inferno6–13-0.0913%1 Oct →
dust216–12-0.0114%30 Sept →
mirage13–7-0.0215%24 Sept →
ancient7–13-0.0612%21 Sept →
nuke13–6-0.0413%20 Sept →
mirage16–13-0.079%19 Sept →
ancient13–70.026%19 Sept →
dust21–13-0.0414%17 Sept →
anubis13–110.0420%17 Sept →
inferno13–9-0.0017%15 Sept →
cache16–140.009%15 Sept →
inferno13–90.0113%11 Sept →
ancient5–13-0.108%9 Sept →
cache13–10-0.0439%9 Sept →
inferno8–13-0.0411%7 Sept →
nuke13–10-0.0215%6 Sept →
ancient16–13-0.085%4 Sept →
nuke13–11-0.029%31 Aug →
cache13–11-0.0419%29 Aug →
inferno12–16-0.0726%29 Aug →
inferno12–12-0.0018%26 Aug →
anubis13–70.0523%23 Aug →
inferno5–13-0.0711%23 Aug →
inferno10–13-0.0526%21 Aug →
vertigo13–60.0317%18 Aug →
inferno19–15-0.0629%17 Aug →
inferno16–12-0.0612%17 Aug →
inferno13–50.0310%17 Aug →
inferno13–50.059%14 Aug →
nuke13–10-0.0410%14 Aug →
ancient15–19-0.047%13 Aug →
ancient10–13-0.0321%4 Aug →
anubis7–13-0.095%2 Aug →
inferno13–70.0921%31 Jul →
inferno11–13-0.045%29 Jul →
nuke16–12-0.0113%29 Jul →
ancient13–11-0.0311%28 Jul →
cache15–15-0.0418%27 Jul →
nuke6–13-0.0813%27 Jul →
nuke16–14-0.068%24 Jul →
inferno4–13-0.0825%23 Jul →
overpass6–130.048%21 Jul →
inferno6–13-0.0420%21 Jul →
nuke3–13-0.0914%21 Jul →
mirage7–13-0.0114%21 Jul →
anubis16–13-0.077%20 Jul →
nuke13–16-0.0522%18 Jul →
mirage9–13-0.0717%14 Jul →
anubis13–8-0.046%11 Jul →
inferno4–13-0.037%7 Jul →
inferno13–10-0.054%7 Jul →
inferno13–10-0.1013%6 Jul →
nuke13–7-0.0614%6 Jul →
ancient13–90.0032%6 Jul →
ancient2–13-0.090%4 Jul →
dust211–13-0.0918%3 Jul →
nuke22–20-0.0911%2 Jul →
inferno9–13-0.0318%1 Jul →
overpass13–7-0.025%1 Jul →
nuke9–13-0.0626%29 Jun →
cache8–13-0.076%23 Jun →
inferno4–13-0.0930%20 Jun →
overpass7–13-0.0714%20 Jun →
italy0–4-0.030%20 Jun →
ancient13–7-0.0719%20 Jun →
inferno9–13-0.0727%19 Jun →
ancient9–13-0.0214%19 Jun →
ancient13–11-0.1410%14 Jun →
inferno11–130.0016%12 Jun →
nuke9–13-0.0211%12 Jun →
anubis13–90.0220%12 Jun →
nuke13–100.016%12 Jun →
ancient13–3-0.0313%11 Jun →
anubis10–13-0.0628%10 Jun →
nuke8–13-0.083%8 Jun →
inferno13–6-0.105%8 Jun →
dust213–3-0.0412%7 Jun →

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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