CJCASPER

CJCASPER — CS2 Stats

76561198169030846[U:1:208765118]Steam profile ↗✓ No bans

1,142Tracked matches64%Win rate2020Tracked since
5,870Hours in CS2Hrs last 2 wks
CSDB Rating5.9 SolidClutch Specialist
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Aug 2026 (68 days ago). Ranks are recorded once per day this page is viewed.

+37Tracked matches · now 1,142
+17.9ppWin rate · 46.4% → 64.3%

Rating over time

Premier CS Rating: 24,044 +66 29 Mar – 26 Jun · 21 days played
23,47225,112peak 25,11229 Mar26 Jun
25,112Peak Premier in tracked matches
1,384Highest Faceit ELO seen on CSDB
43Days played since 2026-03-25

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGCJCASPERPEAK ELO1,384csdb.gg/stats

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Performance scores

Aim78
Positioning50
Utility27

0–100 skill scores via Leetify.

Recent form

HOT51–43–6Last 10051%Win rateWWWLWWWLWW

Last 10 vs previous 10: +50pp win rate · +0.00 avg rating · +5.2pp headshot accuracy · −5ms reaction

Win rate up 50pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 545ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 556ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 559ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.1 against its own average).

Aim7.8
Utility2.7
Positioning5.0
Opening Duels1.1
Clutch5.8

Limited 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

ropz

Plays most like ropz 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 557ms 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

Aim7.8
Positioning5.0
Utility2.7
Mechanics6.8
Opening Duels1.3
Win Impact9.8

Composite 5.9/10 (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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time559ms−80ms
first ⅓ avg 639ms → last ⅓ avg 559ms
Headshot accuracy22.2%−3.0%
first ⅓ avg 25.2% → last ⅓ avg 22.2%

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

0.15Best match rating · 10–13 · anubis, 10 Jun →
40%Best headshot accuracy · 6–13 · dust2, 4 Jun →
461msFastest reaction time · 13–9 · inferno, 7 Sept →
13–2Biggest win · nuke, 11 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W3Current streak
6–3In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 55% over 22cacheWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA2212–1055%-0.01
dust2C167–944%0.00
nukeB157–847%-0.02
ancientB157–847%-0.00
anubisB137–654%0.03
infernoB84–450%0.00
cacheC52–340%-0.02
vertigo—33–0100%0.06
train—11–0100%0.03
overpass—11–0100%0.02
sanctum—10–10%0.14

Across the last 100 tracked matches.

Lifetime stats

168,439Lifetime kills
1.02K/D · Top 50% of tracked players
9,382Matches
38.6%Match win rate
48.4%Headshot % · Top 50% of tracked players
15.1%Shot accuracy · Top 50% of tracked players
20,006MVPs
4,681Hours (in match)
2,628Bombs planted
911Bombs defused

Most-used weapons

AK-4758,083
AWP23,972
SSG 0812,955
Knife7,853
MAC-102,622
P2501,730

Lifetime map wins

16,572dust2
3,056nuke
2,266inferno
1,253vertigo
712office
660lake
551train
469safehouse

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

Faceit stats

Combat

163Matches
59%Win rate
1.35Avg K/D
83.6ADR
56%Headshot %

Clutches & streaks

49%1v1 clutch win
24%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2361%1.1713.4
Nuke2264%1.2816.3
Ancient1776%1.1515.8
Inferno1331%0.9615.8
Train650%1.2418.0
Dust2475%1.4418.0
Anubis333%1.0215.7
Vertigo20%0.6214.0

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.

22.7%Headshot accuracy
33.1%Accuracy (enemy spotted)
36.5%Spray accuracy
80.6%Counter-strafing
8.9°Preaim
557msReaction time
36.4%T opening success
34.2%CT opening success
0.34Enemies flashed / flash
2.9%Flash assists
8.93HE damage / grenade
1.88Flashes / 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. 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 0.3443 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 36.4034% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–80.0120%29 Oct →
dust213–70.0325%21 Oct →
nuke13–40.0027%21 Oct →
nuke5–13-0.0424%12 Oct →
nuke13–2-0.0221%11 Oct →
mirage13–100.0029%10 Oct →
anubis13–90.0040%10 Oct →
ancient9–13-0.0124%10 Oct →
dust213–11-0.0419%10 Oct →
dust213–6-0.0521%6 Oct →
inferno5–13-0.0216%3 Oct →
mirage8–13-0.058%3 Oct →
nuke7–130.0431%3 Oct →
anubis5–13-0.0815%3 Oct →
ancient12–12-0.0817%29 Sept →
ancient10–13-0.0222%29 Sept →
mirage8–130.0118%29 Sept →
dust213–70.0117%29 Sept →
cache13–8-0.0222%29 Sept →
inferno13–80.0829%27 Sept →
vertigo13–90.0725%24 Sept →
ancient13–7-0.0322%22 Sept →
dust213–8-0.0416%22 Sept →
cache13–40.0324%22 Sept →
inferno13–40.0529%22 Sept →
mirage10–13-0.0620%13 Sept →
nuke13–3-0.0420%9 Sept →
ancient12–120.0428%9 Sept →
nuke13–100.0226%9 Sept →
inferno9–130.0025%9 Sept →
dust213–90.0126%9 Sept →
ancient5–13-0.0521%7 Sept →
mirage13–7-0.005%7 Sept →
inferno13–9-0.0418%7 Sept →
mirage13–9-0.0126%7 Sept →
dust28–130.0223%7 Sept →
mirage13–160.0018%1 Sept →
ancient16–120.0030%9 Jul →
cache10–13-0.0721%9 Jul →
ancient13–7-0.0120%26 Jun →
dust20–13-0.0320%26 Jun →
cache10–13-0.0416%26 Jun →
ancient5–13-0.0823%26 Jun →
inferno13–70.0626%23 Jun →
mirage13–110.0219%23 Jun →
inferno11–13-0.0725%15 Jun →
ancient13–6-0.0229%14 Jun →
dust22–13-0.0414%14 Jun →
mirage11–130.0520%14 Jun →
nuke7–13-0.0815%12 Jun →
mirage16–130.0329%12 Jun →
mirage13–60.0320%10 Jun →
anubis10–130.1518%10 Jun →
anubis8–13-0.0825%4 Jun →
dust28–130.0215%4 Jun →
dust26–130.0840%4 Jun →
vertigo13–60.0636%4 Jun →
vertigo13–40.0331%4 Jun →
anubis13–20.0920%30 May →
anubis13–11-0.0115%30 May →
cache5–13-0.0217%21 May →
dust215–150.0321%16 May →
mirage13–11-0.0630%16 May →
ancient7–130.0324%16 May →
mirage13–7-0.0322%14 May →
nuke9–13-0.0819%11 May →
dust215–150.0229%11 May →
ancient6–13-0.0028%11 May →
nuke13–100.0015%4 May →
mirage13–110.0217%4 May →
train13–90.0321%28 Apr →
anubis13–80.0320%25 Apr →
mirage5–13-0.0339%25 Apr →
overpass13–70.0224%25 Apr →
mirage5–13-0.0526%20 Apr →
ancient13–70.0824%20 Apr →
mirage5–13-0.0614%19 Apr →
mirage13–90.0129%13 Apr →
nuke11–130.0029%13 Apr →
nuke4–13-0.0722%9 Apr →
dust27–13-0.0326%9 Apr →
nuke6–130.0029%6 Apr →
inferno7–13-0.0615%6 Apr →
mirage13–80.0629%6 Apr →
ancient13–90.0524%5 Apr →
nuke2–13-0.0438%5 Apr →
anubis8–13-0.0228%5 Apr →
ancient13–30.0627%2 Apr →
mirage1–13-0.0716%2 Apr →
anubis12–120.1233%1 Apr →
anubis7–130.0221%1 Apr →
mirage6–13-0.0122%1 Apr →
dust28–130.0239%1 Apr →
nuke13–70.0134%31 Mar →
anubis13–50.0620%31 Mar →
anubis13–70.0523%31 Mar →
mirage16–13-0.0524%30 Mar →
dust216–140.0220%29 Mar →
anubis13–70.0529%29 Mar →
sanctum8–80.1430%25 Mar →

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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