palle1900 — CS2 Stats

76561199672525044[U:1:1712259316]

1,647Tracked matches46%Win rate2024Tracked since
1,514Hours in CS
CSDB Rating2.8 Learning
FaceitLevel 2 · 691 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 rate36.5%42.1%42.1%5.6% short
Shot accuracy0.0%12.9%12.1%12.1% short
Kill/death ratio0.651.000.990.34 short
Match win rate44.8%42.9%43.9%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 rankedcsdb.gg/stats

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Performance scores

Aim27
Positioning51
Utility42

0–100 skill scores via Leetify.

Recent form

HOT42553Last 10042%Win rateTWLLWWWWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Aim2.7
Aggression7.7
Utility4.2
Positioning5.1
Opening Duels2.9
Clutch2.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 79% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 635ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 48% 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

Aim2.7
Positioning5.1
Utility4.2
Mechanics0.0
Opening Duels2.9
Win Impact3.8

Composite 2.8/10 (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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time647ms−23ms
first ⅓ avg 670ms → last ⅓ avg 647ms
Headshot accuracy13.8%+0.4%
first ⅓ avg 13.4% → last ⅓ avg 13.8%

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.

Highlights

0.09Best rating — inferno 13–7
131Biggest win — nuke
6Longest win streak
56In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 56% over 18cacheWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
nukeC25111444%-0.04
infernoC2381535%-0.04
ancientA1810856%-0.05
anubisB105550%-0.04
mirageD72529%-0.05
dust2B63350%-0.05
cacheD5050%-0.08
overpass42250%-0.01
vertigo110100%0.03
italy1010%-0.03

Across the last 100 tracked matches.

Lifetime stats

44,330Lifetime kills
0.65K/D
3,478Matches
44.8%Match win rate · Top 50% of Level 2 players
36.5%Headshot %
0.0%Shot accuracy
4,419MVPs
1,514Hours (in match)
4,823Bombs planted
631Bombs defused

Most-used weapons

AK-4711,760
AWP9,510
Knife1,627
MP9834

Lifetime map wins

7,197inferno
6,487nuke
2,937dust2
1,498train
1,058vertigo
27italy

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

Faceit stats

Combat

2,059Matches
49%Win rate
0.74Avg K/D
58.0ADR
35%Headshot %

Clutches & streaks

33%1v1 clutch win
14%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno44847%0.7611.2
Ancient44553%0.7211.3
Nuke38151%0.7411.4
Mirage29845%0.7410.8
Anubis16441%0.7211.7
Dust214447%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.

14.3%Headshot accuracy
32.6%Accuracy (enemy spotted)
32.2%Spray accuracy
48.2%Counter-strafing
10.4°Preaim
635msReaction time
35.8%T opening success
47.1%CT opening success
0.49Enemies flashed / flash
3.0%Flash assists
6.04HE damage / grenade
7.97Flashes / 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. 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 14.326% — below the 15% mark we flag

    Aim Training
  2. 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 0.4892 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 35.7897% — below the 40% mark we flag

Spend your practice time on Cache

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
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
cache4–13-0.120%7 Jun
dust28–130.0514%7 Jun
dust211–13-0.1113%7 Jun
dust213–11-0.0827%6 Jun
mirage3–13-0.0721%6 Jun
nuke4–13-0.0532%6 Jun
ancient6–13-0.0917%5 Jun
nuke13–6-0.059%5 Jun
ancient13–4-0.0110%3 Jun
nuke13–6-0.0528%2 Jun
overpass5–10.0214%2 Jun
ancient5–13-0.0611%2 Jun
ancient13–7-0.0614%31 May
anubis13–4-0.1310%30 May
nuke13–9-0.1122%30 May
mirage13–7-0.0315%27 May
nuke12–12-0.0527%27 May
nuke7–60.030%26 May
nuke3–13-0.1117%25 May
inferno6–13-0.0113%25 May
anubis4–13-0.063%24 May
ancient13–70.0116%24 May
anubis5–13-0.0216%24 May
ancient13–7-0.0516%24 May
nuke6–13-0.0115%22 May
mirage5–13-0.0714%22 May
ancient13–6-0.069%21 May
inferno9–13-0.020%18 May
inferno6–13-0.0321%18 May
ancient10–13-0.0318%16 May
nuke11–13-0.0117%15 May
mirage1–13-0.0913%14 May
nuke7–13-0.0411%13 May
mirage13–8-0.049%13 May
cache0–13-0.068%13 May
nuke13–60.0511%7 May
inferno3–13-0.107%7 May
anubis9–13-0.018%7 May
nuke13–10.0320%7 May
cache10–13-0.0913%5 May
nuke5–13-0.0615%4 May
ancient7–13-0.0317%4 May
dust213–8-0.0222%3 May

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →