wP *s a n d m a n n

wP *s a n d m a n n — CS2 Stats

DE76561198293564991[U:1:333299263]Steam profile ↗✓ No bans

3,463Tracked matches52%Win rate2020Tracked since
5,072Hours in CS
CSDB Rating5.5 SolidAll-Rounder
Premier CS Rating7,980Light Blue band · top ~64.6% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−1654Premier CS Rating · 9,634 → 7,980

Rating over time

Premier CS Rating: 7,980 -1,268 3 Sept – 31 Oct · 25 days played
5,6969,634peak 9,6343 Sept31 Oct
9,634Peak Premier in tracked matches
23Days played since 2026-09-03

Premier CS Rating

  • 1,654 below peak (9,634)
  • +692 over 30 days · improving
  • Next: Blue band at 10,000 — 2,020 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-03

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 rate54.7%42.7%43.8%above
Shot accuracy14.5%11.2%12.0%above
Kill/death ratio0.910.991.020.11 short
Match win rate43.1%43.9%44.7%1.6% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GGwP *s a n d m a n nFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER7,980 · Light Blue 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

Aim61
Positioning59
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateLLLLLWWWLW

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +1.9pp headshot accuracy · +29ms reaction

Win rate down 20pp 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 664ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 673ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 659ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.1
Utility6.0
Positioning5.9
Opening Duels4.8
Clutch5.4

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

Twistzz

Plays most like Twistzz 81% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 654ms 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

Aim6.1
Positioning5.9
Utility6.0
Mechanics7.0
Opening Duels6.3
Win Impact5.6

Composite 5.5/10 (Solid), 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-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time665ms−9ms
first ⅓ avg 674ms → last ⅓ avg 665ms
Headshot accuracy18.4%−1.9%
first ⅓ avg 20.3% → last ⅓ avg 18.4%

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

0.13Best match rating · 13–8 · mirage, 10 Oct →
36%Best headshot accuracy · 11–13 · ancient, 10 Oct →
469msFastest reaction time · 8–13 · inferno, 4 Oct →
13–1Biggest win · anubis, 3 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L5Current streak
11–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 79% over 14ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
cacheC177–1041%-0.00
dust2B178–947%-0.01
nukeC167–944%0.00
mirageD155–1033%-0.02
anubisA148–657%-0.00
infernoS1411–379%0.01
ancientD71–614%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

193,703Lifetime kills
0.91K/D
10,671Matches
43.1%Match win rate
54.7%Headshot % · Top 10% of Level 4 players
14.5%Shot accuracy · Top 50% of Level 4 players
22,510MVPs
5,072Hours (in match)
12,988Bombs planted
2,742Bombs defused

Most-used weapons

AK-4757,927
Galil AR10,602
FAMAS8,473
P2505,825
MP93,158

Lifetime map wins

32,616dust2
30,556inferno
9,171nuke
3,060vertigo
2,656train
283office
83cbble
35italy

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

Faceit stats

Combat

543Matches
50%Win rate
0.94Avg K/D
65.8ADR
50%Headshot %

Clutches & streaks

47%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno1861%1.0815.1
Ancient1656%1.0214.5
Mirage1471%0.7411.7
Anubis1338%0.7511.9
Dust21050%0.9212.0
Vertigo520%1.0114.8
Nuke4100%1.3115.5
Overpass333%0.669.7

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.

18.2%Headshot accuracy
32.1%Accuracy (enemy spotted)
29.7%Spray accuracy
81.7%Counter-strafing
8.2°Preaim
654msReaction time
52.5%T opening success
57.6%CT opening success
0.57Enemies flashed / flash
4.3%Flash assists
8.96HE damage / grenade
16.01Flashes / match

Recommended for you

Spend your practice time on Ancient

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient3–13-0.0122%31 Oct →
cache4–130.0016%31 Oct →
anubis11–130.0523%31 Oct →
mirage11–13-0.037%31 Oct →
nuke9–13-0.0116%31 Oct →
dust213–90.0220%30 Oct →
nuke13–50.0531%30 Oct →
inferno13–5-0.0227%30 Oct →
mirage5–13-0.0716%29 Oct →
dust216–13-0.0219%29 Oct →
dust28–13-0.1111%29 Oct →
ancient11–130.0519%28 Oct →
anubis13–7-0.0119%28 Oct →
inferno13–10-0.0418%28 Oct →
mirage13–3-0.0330%26 Oct →
dust213–100.0017%26 Oct →
cache16–13-0.0221%26 Oct →
anubis10–13-0.088%26 Oct →
mirage15–150.0124%22 Oct →
anubis13–100.0010%22 Oct →
inferno13–60.0116%22 Oct →
dust27–13-0.0316%22 Oct →
nuke10–13-0.0221%22 Oct →
anubis9–13-0.0313%21 Oct →
inferno13–5-0.0217%21 Oct →
dust213–16-0.0118%21 Oct →
nuke13–8-0.0216%21 Oct →
dust27–13-0.0524%16 Oct →
dust213–9-0.0420%16 Oct →
inferno13–60.0315%16 Oct →
cache10–130.0118%16 Oct →
dust26–13-0.0026%16 Oct →
mirage4–13-0.0314%15 Oct →
anubis3–130.0220%15 Oct →
dust215–150.0713%14 Oct →
nuke3–13-0.0324%14 Oct →
nuke13–70.0219%14 Oct →
nuke9–13-0.0221%11 Oct →
mirage4–13-0.0825%11 Oct →
inferno16–140.0618%11 Oct →
cache13–11-0.0221%10 Oct →
ancient11–13-0.0236%10 Oct →
mirage13–80.1320%10 Oct →
anubis13–80.0819%10 Oct →
cache5–13-0.0316%10 Oct →
ancient9–130.0115%10 Oct →
nuke8–13-0.0511%8 Oct →
ancient9–13-0.0026%8 Oct →
cache9–130.0217%8 Oct →
mirage13–8-0.049%8 Oct →
cache13–7-0.0119%7 Oct →
dust213–16-0.0122%7 Oct →
anubis3–13-0.0616%7 Oct →
cache12–12-0.0124%7 Oct →
cache6–13-0.0021%7 Oct →
cache13–80.0619%6 Oct →
nuke13–11-0.0020%6 Oct →
dust213–90.0314%6 Oct →
mirage7–13-0.0617%6 Oct →
anubis16–14-0.0214%6 Oct →
ancient13–70.0321%6 Oct →
nuke14–160.0229%5 Oct →
anubis13–10-0.0118%5 Oct →
mirage13–40.0312%5 Oct →
anubis12–16-0.0422%4 Oct →
inferno13–110.0225%4 Oct →
nuke13–50.0623%4 Oct →
nuke13–30.0126%4 Oct →
inferno8–130.0720%4 Oct →
dust213–60.0219%3 Oct →
cache5–13-0.0211%3 Oct →
anubis13–10.055%3 Oct →
nuke13–80.0922%30 Sept →
nuke9–13-0.0127%30 Sept →
ancient6–13-0.0219%30 Sept →
mirage9–13-0.0420%30 Sept →
dust213–110.0220%30 Sept →
nuke8–13-0.0119%30 Sept →
dust213–90.0326%30 Sept →
cache2–130.0020%30 Sept →
nuke10–13-0.0117%30 Sept →
mirage7–13-0.0424%30 Sept →
dust26–13-0.0027%30 Sept →
inferno13–110.0122%29 Sept →
mirage13–60.0216%29 Sept →
cache16–12-0.0225%29 Sept →
cache14–16-0.0212%29 Sept →
inferno10–13-0.0712%29 Sept →
dust24–13-0.0527%28 Sept →
anubis13–8-0.0216%28 Sept →
inferno10–13-0.0525%27 Sept →
anubis13–110.0125%27 Sept →
cache13–50.0622%27 Sept →
mirage8–13-0.0324%27 Sept →
inferno13–11-0.0214%27 Sept →
mirage15–15-0.0021%26 Sept →
cache13–10-0.0421%26 Sept →
inferno13–110.0619%26 Sept →
cache15–15-0.0126%26 Sept →
inferno13–110.0823%26 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.