Casper

Casper — CS2 Stats

76561198138261656[U:1:177995928]Steam profile ↗✓ No bans

1,128Tracked matches57%Win rate2020Tracked since
CSDB Rating6.6 SolidPositional Player
CSDB Leaderboard#63354 of 251281 tracked
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,310 +97 17 Oct – 2 Jul · 20 days played
19,64621,401peak 21,40117 Oct2 Jul
21,508Peak Premier in tracked matches
51Days played since 2025-10-12

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

Performance scores

Aim86
Positioning58
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY49–43–8Last 10049%Win rateLLLWWLTWWL

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · +1.7pp headshot accuracy · +39ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 24%
  • Avg reaction 576ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 555ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 536ms

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 (+1.5 against its own average).

Aim8.6
Utility5.0
Positioning5.8
Opening Duels2.5
Clutch3.8

Sharp aimerStrong CT-side openerLimited utility dependence

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

sh1ro

Plays most like sh1ro 94% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success.

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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

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

T-side openings. Opening success drops from 50% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6
Positioning5.8
Utility5.0
Mechanics7.5
Opening Duels2.5
Win Impact7.4

Composite 6.6/10 (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 rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time538ms−28ms
first ⅓ avg 566ms → last ⅓ avg 538ms
Headshot accuracy20.0%−1.6%
first ⅓ avg 21.5% → last ⅓ avg 20.0%

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

0.17Best match rating · 13–0 · overpass, 23 Apr →
40%Best headshot accuracy · 8–13 · nuke, 9 May →
375msFastest reaction time · 12–16 · inferno, 17 Oct →
13–0Biggest win · overpass, 23 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
6–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 59% over 22nukeWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
cacheB2211–1150%0.05
mirageA2213–959%0.04
ancientC198–1142%0.04
infernoB115–645%0.02
overpassB105–550%0.04
nukeC83–538%0.02
anubisC52–340%0.03
dust2—21–150%0.08
train—11–0100%0.14

Across the last 100 tracked matches.

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

Faceit stats

Combat

1,153Matches
53%Win rate
1.08Avg K/D
78.3ADR
49%Headshot %

Clutches & streaks

39%1v1 clutch win
26%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage9856%1.2216.0
Ancient7753%1.1817.0
Inferno6554%1.2716.6
Anubis2825%0.8813.9
Nuke1747%1.0714.2
Overpass1479%1.3218.3
Dust2729%1.3816.7
Cache786%1.8318.6

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.

19.6%Headshot accuracy
36.0%Accuracy (enemy spotted)
42.1%Spray accuracy
83.8%Counter-strafing
8.0°Preaim
534msReaction time
28.0%T opening success
50.0%CT opening success
0.59Enemies flashed / flash
7.0%Flash assists
10.53HE damage / grenade
4.70Flashes / 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

    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 28.0439% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0431%10 Aug →
cache2–13-0.0620%31 Jul →
anubis9–130.1237%18 Jul →
ancient13–30.1112%18 Jul →
inferno13–20.1520%15 Jul →
anubis10–13-0.0515%13 Jul →
anubis15–15-0.0117%2 Jul →
mirage13–9-0.0125%2 Jul →
mirage13–30.0225%2 Jul →
nuke3–13-0.0513%28 Jun →
overpass13–90.0421%28 Jun →
ancient13–40.1118%28 Jun →
inferno13–70.0625%27 Jun →
ancient13–9-0.0410%21 Jun →
mirage19–16-0.0015%21 Jun →
ancient11–130.0414%19 Jun →
ancient13–40.1434%17 Jun →
mirage13–30.0310%17 Jun →
ancient13–6-0.0126%15 Jun →
nuke10–13-0.0324%15 Jun →
mirage13–7-0.0119%11 Jun →
overpass13–100.1211%9 Jun →
ancient10–130.0418%5 Jun →
inferno6–130.0117%30 May →
overpass6–13-0.0417%30 May →
ancient8–13-0.0824%30 May →
mirage13–10.0524%29 May →
cache12–120.0117%29 May →
mirage13–6-0.0217%28 May →
nuke11–13-0.0418%28 May →
overpass13–160.0517%28 May →
ancient10–130.0123%28 May →
overpass8–130.0224%27 May →
anubis16–140.0722%27 May →
mirage10–130.0216%27 May →
inferno13–60.0637%26 May →
mirage13–70.1020%26 May →
ancient13–50.0522%25 May →
mirage13–110.1422%25 May →
ancient6–130.0214%25 May →
ancient11–130.0719%20 May →
cache13–80.1126%13 May →
mirage2–130.0529%11 May →
cache12–120.0420%10 May →
mirage6–13-0.0217%10 May →
cache10–130.0119%10 May →
anubis13–100.0324%9 May →
nuke13–70.0539%9 May →
ancient11–130.0119%9 May →
nuke8–130.0340%9 May →
cache13–60.0120%9 May →
cache13–40.1011%9 May →
ancient15–150.0619%9 May →
cache5–13-0.0129%8 May →
cache10–130.0819%7 May →
cache13–50.0011%4 May →
cache13–10.1021%4 May →
cache12–120.1521%3 May →
cache13–110.0627%3 May →
cache13–100.0627%3 May →
cache6–130.0034%2 May →
cache13–100.0629%2 May →
cache11–130.0526%2 May →
cache13–60.0821%2 May →
cache13–30.0932%2 May →
cache13–60.1016%1 May →
cache11–130.1122%30 Apr →
cache5–130.0416%29 Apr →
overpass13–00.1714%23 Apr →
mirage13–20.1716%23 Apr →
nuke7–130.1540%15 Apr →
inferno5–9-0.0515%21 Mar →
mirage15–150.0316%4 Jan →
overpass5–13-0.0113%28 Dec →
mirage13–40.0813%28 Dec →
inferno13–7-0.0223%28 Dec →
nuke13–90.0133%28 Dec →
ancient12–120.0628%27 Dec →
mirage3–13-0.0325%27 Dec →
overpass13–110.0323%26 Dec →
inferno13–9-0.0123%26 Dec →
ancient1–13-0.0418%25 Dec →
mirage13–70.0226%25 Dec →
ancient13–80.0920%18 Dec →
dust213–110.1025%18 Dec →
inferno6–130.0119%13 Dec →
ancient15–150.0624%13 Dec →
mirage11–13-0.0124%13 Dec →
dust26–130.0628%26 Oct →
mirage9–130.0216%24 Oct →
inferno7–130.0619%23 Oct →
mirage8–130.1422%19 Oct →
mirage3–130.0225%18 Oct →
nuke13–60.0721%18 Oct →
overpass2–13-0.047%18 Oct →
ancient13–110.0413%17 Oct →
train13–40.1439%17 Oct →
inferno12–160.0126%17 Oct →
mirage13–40.0620%17 Oct →
overpass13–10.0219%12 Oct →

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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