Jaypok

Jaypok — CS2 Stats

VA76561198152512749[U:1:192247021]Steam profile ↗✓ No bans

1,232Tracked matches41%Win rate2020Tracked since
2,975Hours in CS7Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
Premier CS Rating16,256Purple band · top ~23.4% of ranked players (population est.)
FaceitLevel 5 · 958 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGJaypokFACEITLevel 5 · 958 ELOSTANDINGTop 67.6% of rankedPREMIER16,256 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning62
Utility54

0–100 skill scores via Leetify.

Recent form

COLD45–53–2Last 10045%Win rateTLWLLLLWLL

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · +3.3pp headshot accuracy · +38ms reaction

Win rate down 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 651ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 690ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 671ms

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 against its own average).

Aim6.4
Utility5.4
Positioning6.2
Opening Duels4.2
Clutch5.0

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

jL

Plays most like jL 85% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 65% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 651ms 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

Aim6.4
Positioning6.2
Utility5.4
Mechanics6.3
Opening Duels5.9
Win Impact2.1

Composite 5.7/10 (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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time644ms+38ms
first ⅓ avg 605ms → last ⅓ avg 644ms
Headshot accuracy16.0%+0.7%
first ⅓ avg 15.3% → last ⅓ avg 16.0%

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

0.21Best match rating · 13–5 · cache, 13 Aug →
34%Best headshot accuracy · 4–13 · dust2, 11 Aug →
438msFastest reaction time · 6–13 · anubis, 11 Aug →
13–2Biggest win · dust2, 29 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

ancientBest map · 69% over 13cacheWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB3516–1946%0.02
anubisC145–936%0.00
cacheD143–1121%0.02
ancientS139–469%0.00
nukeA106–460%0.02
infernoA53–260%-0.00
dust2—41–325%-0.04
vertigo—41–325%0.04
train—11–0100%0.01

Across the last 100 tracked matches.

Lifetime stats

101,572Lifetime kills
0.99K/D
5,971Matches
37.0%Match win rate
38.3%Headshot %
15.9%Shot accuracy
14,627MVPs
1,605Hours (in match)
3,148Bombs planted
877Bombs defused

Most-used weapons

AK-4721,166
AWP8,511
P903,701
MP73,604
UMP-453,528
FAMAS2,673

Lifetime map wins

3,640dust2
3,409nuke
2,570inferno
826train
807vertigo
692cbble
508lake
357office

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

Faceit stats

Combat

139Matches
47%Win rate
1.09Avg K/D
95.4ADR
43%Headshot %

Clutches & streaks

45%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3339%1.0416.9
Nuke1953%1.4221.2
Ancient1765%1.1019.6
Cache1631%1.2519.4
Anubis1338%1.0819.1
Dust2683%1.5017.8
Inferno650%1.2518.7

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.

15.5%Headshot accuracy
37.3%Accuracy (enemy spotted)
43.1%Spray accuracy
78.1%Counter-strafing
11.2°Preaim
651msReaction time
64.9%T opening success
42.4%CT opening success
0.55Enemies flashed / flash
3.4%Flash assists
10.07HE damage / grenade
6.09Flashes / match

Recommended for you

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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis12–120.0023%12 Nov →
cache2–13-0.0622%12 Nov →
mirage13–50.0325%12 Nov →
mirage4–130.0220%8 Nov →
mirage3–130.0617%8 Nov →
cache8–130.0816%8 Nov →
cache13–160.0013%7 Nov →
mirage13–40.0617%7 Nov →
nuke8–13-0.0310%1 Nov →
cache10–13-0.0313%31 Oct →
ancient13–60.0521%31 Oct →
mirage13–70.0310%31 Oct →
mirage11–130.019%27 Oct →
nuke13–70.0318%27 Oct →
anubis13–80.0511%27 Oct →
dust25–13-0.094%25 Oct →
mirage13–90.0319%25 Oct →
nuke13–100.0512%25 Oct →
mirage13–50.1925%20 Oct →
mirage10–13-0.0214%20 Oct →
anubis14–16-0.0411%19 Oct →
ancient1–13-0.0329%18 Oct →
nuke13–50.0416%18 Oct →
cache10–13-0.0314%18 Oct →
anubis10–130.0223%17 Oct →
mirage10–130.0616%17 Oct →
ancient16–140.0114%17 Oct →
anubis3–13-0.0113%15 Oct →
mirage11–130.0411%15 Oct →
nuke13–100.0515%13 Oct →
ancient13–60.0813%13 Oct →
mirage13–5-0.0917%12 Oct →
mirage12–160.0019%11 Oct →
anubis8–13-0.049%11 Oct →
cache10–130.0217%10 Oct →
mirage8–130.0316%8 Oct →
cache11–130.0415%8 Oct →
mirage7–130.009%7 Oct →
train13–90.0112%7 Oct →
anubis10–13-0.0316%4 Oct →
anubis9–13-0.0714%4 Oct →
ancient13–10-0.0211%3 Oct →
anubis16–13-0.0215%3 Oct →
mirage9–13-0.0015%30 Sept →
ancient13–9-0.059%30 Sept →
cache13–70.0420%29 Sept →
anubis9–13-0.0114%29 Sept →
dust213–20.0317%29 Sept →
vertigo13–40.0613%27 Sept →
vertigo9–130.0012%26 Sept →
mirage13–70.0916%26 Sept →
ancient8–13-0.0116%23 Sept →
vertigo3–130.1013%13 Sept →
mirage2–130.0414%13 Sept →
dust213–160.0010%6 Sept →
mirage4–130.1223%1 Sept →
cache2–130.0223%1 Sept →
cache12–120.0217%30 Aug →
inferno5–9-0.0621%29 Aug →
nuke16–120.0011%27 Aug →
nuke10–13-0.0116%23 Aug →
vertigo9–130.0210%23 Aug →
cache4–13-0.079%23 Aug →
nuke6–9-0.0915%23 Aug →
mirage6–13-0.0512%18 Aug →
inferno13–5-0.038%18 Aug →
ancient19–16-0.0026%17 Aug →
ancient4–130.0217%17 Aug →
nuke13–30.119%16 Aug →
ancient13–7-0.0511%16 Aug →
mirage13–100.0126%15 Aug →
mirage13–90.099%15 Aug →
cache8–130.0223%15 Aug →
mirage0–12-0.094%15 Aug →
cache13–10-0.0319%15 Aug →
mirage14–16-0.036%14 Aug →
cache13–50.2131%13 Aug →
mirage13–60.085%13 Aug →
anubis13–8-0.0315%13 Aug →
inferno7–13-0.0111%13 Aug →
mirage5–130.0210%13 Aug →
inferno13–70.0617%13 Aug →
ancient13–20.0410%13 Aug →
anubis13–70.0613%12 Aug →
mirage13–100.048%11 Aug →
inferno16–130.026%11 Aug →
anubis16–140.1217%11 Aug →
anubis6–130.027%11 Aug →
mirage13–100.0212%11 Aug →
mirage13–8-0.0221%11 Aug →
dust24–13-0.0934%11 Aug →
mirage13–7-0.0011%11 Aug →
mirage9–130.0018%11 Aug →
ancient8–13-0.0228%11 Aug →
mirage13–7-0.0014%10 Aug →
mirage13–6-0.0025%10 Aug →
mirage5–130.0110%9 Aug →
ancient13–80.0419%9 Aug →
nuke9–130.0123%9 Aug →
mirage8–130.0214%9 Aug →

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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