pr0doman

pr0doman — CS2 Stats

76561198042269666[U:1:82003938]Steam profile ↗✓ No bans

206Tracked matches57%Win rate2020Tracked since
638Hours in CS2Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
CSDB Leaderboard#94729 of 260012 tracked
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 19,376 +3,757 20 Jan – 25 Jan · 17 days played
13,38519,376peak 19,37620 Jan25 Jan
19,702Peak Premier in tracked matches
31Days played since 2024-01-20

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim74
Positioning66
Utility40

0–100 skill scores via Leetify.

Recent form

COLD53–42–5Last 10053%Win rateWTLWLLLLLW

Last 10 vs previous 10: −40pp win rate · +0.03 avg rating · +1.9pp headshot accuracy · −29ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 559ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 555ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 569ms

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 (+1.6 against its own average).

Aim7.4
Utility4.0
Positioning6.6
Opening Duels4.4

Effective flashes

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

donk

Plays most like donk 90% 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

Areas to improve

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

Reaction time. 589ms 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

Aim7.4
Positioning6.6
Utility4.0
Mechanics5.7
Opening Duels4.1
Win Impact7.4

Composite 6.1/10 (Solid), 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 rating0.04−0.01
first ⅓ avg 0.05 → last ⅓ avg 0.04
Reaction time584ms−55ms
first ⅓ avg 640ms → last ⅓ avg 584ms
Headshot accuracy17.3%−1.6%
first ⅓ avg 18.8% → last ⅓ avg 17.3%

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

0.34Best match rating · 13–1 · ancient, 6 Jul →
40%Best headshot accuracy · 13–3 · ancient, 3 Feb →
406msFastest reaction time · 13–3 · ancient, 3 Feb →
13–1Biggest win · ancient, 6 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
12–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 67% over 9overpassWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB2713–1448%0.04
ancientA1610–663%0.07
infernoB168–850%0.02
mirageB105–550%0.05
anubisS96–367%0.04
dust2B84–450%0.06
overpassC83–538%0.04
vertigoA53–260%0.06
train—11–0100%0.09

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,624Lifetime kills
1.32K/D · Top 10% of tracked players
872Matches
52.8%Match win rate · Top 10% of tracked players
45.5%Headshot % · Top 50% of tracked players
20.1%Shot accuracy · Top 5% of tracked players
3,324MVPs
501Hours (in match)
965Bombs planted
308Bombs defused

Most-used weapons

Lifetime map wins

1,310nuke
906dust2
891inferno
319cbble
227train
152vertigo
135office
38italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.3%Headshot accuracy
38.4%Accuracy (enemy spotted)
42.7%Spray accuracy
75.6%Counter-strafing
10.2°Preaim
589msReaction time
40.4%T opening success
52.2%CT opening success
0.71Enemies flashed / flash
4.7%Flash assists
9.27HE damage / grenade
11.13Flashes / match

Recommended for you

Spend your practice time on Overpass

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–60.0614%31 Oct →
dust212–12-0.0116%31 Oct →
nuke4–13-0.0312%31 Oct →
ancient13–110.0617%25 Apr →
nuke10–130.0120%25 Apr →
dust210–130.0821%25 Apr →
overpass10–130.1014%6 Dec →
ancient11–130.0922%14 Nov →
ancient4–130.0523%14 Nov →
nuke13–80.0314%6 Sept →
nuke10–130.0112%30 Aug →
ancient13–3-0.0210%29 Aug →
inferno13–9-0.0120%29 Aug →
inferno16–14-0.019%29 Aug →
dust210–130.0013%27 Apr →
mirage13–6-0.0113%27 Apr →
nuke13–110.0318%27 Apr →
train13–50.0920%25 Apr →
mirage13–40.0621%25 Apr →
nuke13–160.0619%25 Apr →
nuke13–100.0514%24 Apr →
anubis13–100.0312%28 Feb →
mirage11–130.0919%25 Jan →
ancient13–50.0021%25 Jan →
overpass10–130.0220%25 Dec →
nuke12–12-0.0110%25 Dec →
dust213–50.0327%25 Dec →
mirage13–160.0526%21 Dec →
inferno13–110.0920%21 Dec →
nuke13–60.1223%21 Dec →
nuke8–10.0818%21 Dec →
mirage13–70.1120%21 Dec →
ancient13–16-0.0112%21 Dec →
anubis13–11-0.0314%21 Dec →
mirage2–13-0.0017%21 Dec →
dust213–50.0120%18 Dec →
anubis7–00.0714%18 Dec →
anubis13–110.0628%4 Aug →
dust210–130.1027%4 Aug →
ancient13–110.0716%4 Aug →
inferno13–90.0130%4 Aug →
nuke16–130.179%3 Aug →
ancient8–130.1321%3 Aug →
inferno6–130.0816%3 Aug →
anubis13–160.1513%3 Aug →
nuke0–13-0.0915%3 Aug →
inferno13–50.0324%3 Aug →
mirage11–13-0.0321%7 Jul →
nuke8–130.0318%7 Jul →
anubis16–140.0311%6 Jul →
nuke13–110.0922%6 Jul →
ancient13–10.3414%6 Jul →
vertigo1–13-0.1030%6 Jul →
anubis13–90.039%6 Jul →
ancient13–4-0.0226%3 Jul →
inferno4–13-0.0630%3 Jul →
nuke13–10.0319%3 Jul →
nuke10–130.0721%19 Jun →
vertigo10–130.0521%10 Jun →
inferno13–70.0914%10 Jun →
ancient13–60.1010%10 Jun →
nuke13–70.1726%29 May →
inferno4–13-0.0714%29 May →
dust213–100.0620%29 May →
nuke13–80.2014%29 May →
mirage8–130.0317%29 May →
inferno8–8-0.0413%21 Apr →
inferno5–9-0.0821%21 Apr →
nuke8–80.0018%21 Apr →
nuke0–9-0.1625%21 Apr →
vertigo9–30.0533%21 Apr →
overpass6–9-0.1410%21 Apr →
nuke6–13-0.109%20 Apr →
ancient10–130.0612%20 Apr →
nuke8–13-0.0118%20 Apr →
overpass13–110.0718%20 Apr →
overpass4–13-0.0714%20 Apr →
inferno7–130.039%20 Apr →
nuke11–13-0.0921%2 Apr →
anubis2–13-0.0825%2 Apr →
ancient13–11-0.0517%2 Apr →
overpass13–40.1614%28 Mar →
inferno13–60.1423%28 Mar →
vertigo13–50.1314%28 Mar →
nuke13–60.1822%28 Mar →
vertigo13–70.1525%28 Mar →
dust213–20.2021%28 Mar →
overpass15–150.1014%23 Mar →
nuke7–130.1121%23 Mar →
inferno7–13-0.0118%23 Mar →
mirage13–100.1312%23 Mar →
ancient10–30.1019%23 Mar →
nuke13–60.1118%23 Mar →
anubis5–130.0722%23 Mar →
nuke13–110.0520%3 Feb →
inferno13–100.1324%3 Feb →
ancient13–30.2340%3 Feb →
ancient4–130.0213%21 Jan →
overpass13–50.0516%21 Jan →
inferno11–130.0415%20 Jan →

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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