PoldoPanceps

PoldoPanceps — CS2 Stats

BR76561199062377724[U:1:1102111996]Steam profile ↗✓ No bans

1,110Tracked matches39%Win rate2020Tracked since
3,210Hours in CS5Hrs last 2 wks
CSDB Rating3.9 Learning
FaceitLevel 4 · 1,009 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGPoldoPancepsFACEITLevel 4 · 1,009 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim38
Positioning50
Utility45

0–100 skill scores via Leetify.

Recent form

COLD41554Last 10041%Win rateLWLLLTLLLL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim3.8
Aggression7.4
Utility4.5
Positioning5.0
Opening Duels3.3
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

ropz

Plays most like ropz 82% playstyle similarity

Most alike: opening-fight frequency, 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. 737ms 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

Aim3.8
Positioning5.0
Utility4.5
Mechanics7.1
Opening Duels3.3
Win Impact1.4

Composite 3.9/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time723ms+21ms
first ⅓ avg 702ms → last ⅓ avg 723ms
Headshot accuracy14.1%−0.2%
first ⅓ avg 14.3% → last ⅓ avg 14.1%

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

0.12Best rating — nuke 13–5
131Biggest win — mirage
4Longest win streak
711In matches decided by ≤2 rounds
16Overtime games

Map breakdown

overpassBest map · 60% over 10infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageC28121643%-0.01
nukeC2281436%-0.03
ancientC2181338%-0.00
infernoD134931%-0.01
overpassA106460%-0.01
dust231233%-0.00
cache21150%-0.00
anubis110100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,959Lifetime kills
0.92K/D
4,313Matches
37.8%Match win rate
38.3%Headshot %
19.6%Shot accuracy · Top 5% of tracked players
7,486MVPs
1,739Hours (in match)
3,890Bombs planted
839Bombs defused

Most-used weapons

AK-4723,893
AWP4,425
MAC-102,064
MP91,985
Knife1,621

Lifetime map wins

6,953inferno
5,850vertigo
4,568nuke
4,003train
735dust2
65lake
57safehouse
43ar_shoots

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

Faceit stats

Combat

108Matches
49%Win rate
1.14Avg K/D
58.4ADR
36%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient250%1.1014.5
Mirage1100%0.5910.0
Dust210%0.417.0
Inferno1100%0.448.0

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.

13.3%Headshot accuracy
33.8%Accuracy (enemy spotted)
32.5%Spray accuracy
82.0%Counter-strafing
12.3°Preaim
737msReaction time
37.3%T opening success
49.3%CT opening success
0.44Enemies flashed / flash
6.9%Flash assists
8.69HE damage / grenade
8.75Flashes / 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 12.2782° — 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 13.3303% — below the 15% mark we flag

    Aim Training
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 737.2075ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Inferno

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke4–13-0.123%26 Aug
ancient13–50.0018%19 Aug
mirage11–13-0.0213%18 Aug
nuke13–16-0.0711%18 Jul
mirage14–16-0.0412%18 Jul
inferno15–150.0014%14 Jul
cache9–13-0.018%8 Jul
nuke15–19-0.0410%8 Jul
dust216–19-0.0117%7 Jul
nuke10–130.037%7 Jul
mirage11–13-0.0616%7 Jul
nuke6–13-0.098%30 Jun
inferno13–30.0132%30 Jun
mirage7–13-0.039%30 Jun
inferno10–13-0.0010%30 Jun
ancient6–13-0.046%30 Jun
mirage13–50.1016%29 Jun
mirage6–10.0333%29 Jun
mirage3–13-0.0211%29 Jun
ancient15–15-0.0010%29 Jun
inferno10–13-0.0119%29 Jun
overpass13–100.0323%29 Jun
nuke13–100.067%28 Jun
inferno13–5-0.0524%28 Jun
overpass8–130.0317%28 Jun
ancient13–5-0.0111%28 Jun
mirage13–110.0022%27 Jun
inferno13–11-0.0516%27 Jun
nuke13–8-0.066%27 Jun
nuke8–13-0.049%27 Jun
mirage13–60.0921%26 Jun
ancient13–70.0014%26 Jun
mirage13–16-0.0714%25 Jun
nuke11–13-0.063%25 Jun
nuke5–13-0.0117%25 Jun
mirage3–13-0.079%25 Jun
overpass10–13-0.068%24 Jun
ancient13–10-0.0710%24 Jun
inferno13–9-0.0110%24 Jun
ancient13–80.0420%18 Jun
mirage11–13-0.0313%18 Jun
mirage7–13-0.0819%18 Jun
inferno11–13-0.0218%18 Jun
ancient10–13-0.027%18 Jun
ancient5–13-0.0614%17 Jun
mirage13–10.0414%17 Jun
mirage13–10-0.0121%17 Jun
ancient10–130.0116%17 Jun
nuke13–70.0526%16 Jun
nuke11–13-0.0512%16 Jun
ancient10–130.0512%16 Jun
overpass13–11-0.0217%15 Jun
cache13–80.0023%12 Jun
ancient11–13-0.0417%12 Jun
overpass13–90.077%12 Jun
mirage3–13-0.0914%12 Jun
mirage15–15-0.038%11 Jun
ancient13–40.0811%11 Jun
anubis13–30.0115%11 Jun
ancient13–160.0125%11 Jun
mirage9–130.0219%11 Jun
nuke9–13-0.0411%11 Jun
overpass13–80.0323%11 Jun
nuke8–13-0.0320%10 Jun
mirage13–90.0514%10 Jun
mirage15–15-0.0617%3 Jun
nuke3–13-0.0910%3 Jun
mirage13–10-0.0424%3 Jun
inferno10–130.0419%3 Jun
overpass13–11-0.018%3 Jun
nuke13–50.1219%3 Jun
ancient13–90.0715%3 Jun
mirage13–30.0213%1 Jun
dust211–130.0318%30 Apr
ancient13–160.0023%16 Apr
nuke13–6-0.019%16 Apr
ancient13–60.0614%16 Apr
mirage13–9-0.0020%8 Apr
mirage4–13-0.0418%7 Apr
ancient9–130.0322%7 Apr
nuke13–11-0.027%7 Apr
inferno7–130.0120%7 Apr
nuke10–13-0.0418%6 Apr
ancient8–13-0.106%31 Mar
nuke13–16-0.0310%31 Mar
ancient8–13-0.0624%31 Mar
inferno8–120.0514%26 Mar
inferno3–13-0.0311%25 Mar
mirage5–13-0.015%22 Mar
nuke16–12-0.0910%22 Mar
inferno7–13-0.0410%15 Mar
mirage16–14-0.0112%15 Mar
dust213–9-0.033%15 Mar
mirage11–13-0.016%15 Mar
overpass7–13-0.0913%15 Mar
overpass14–16-0.067%1 Mar
ancient8–130.008%1 Mar
nuke13–4-0.0538%1 Mar
overpass13–10-0.0518%4 Feb
mirage19–17-0.0213%21 Jan

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 →