pva

pva — CS2 Stats

76561198134095239[U:1:173829511]Steam profile ↗✓ No bans

2,287Tracked matches52%Win rate2020Tracked since
CSDB Rating6.1 SolidPositional Player
Premier CS Rating19,883Top 50% of 215,386 CSDB-tracked playersPurple band · top ~9% of ranked players (population est.)
CSDB Leaderboard#88985 of 261550 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,883 +1,365 10 May – 12 Nov · 27 days played
17,69819,999peak 19,99910 May12 Nov
19,999Peak Premier in tracked matches
37Days played since 2026-05-02

Premier CS Rating

  • 116 below peak (19,999)
  • +146 over 30 days · steady
  • +1,683 over 90 days
  • Next: Pink band at 20,000 — 117 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-29
  • Blue band first seen 2026-08-29

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

Share this profile

CSDB.GGpvaFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER19,883 · Purple 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

Aim72
Positioning65
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY41–55–4Last 10041%Win rateLWLWLTLWLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +2.1pp headshot accuracy · −6ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 620ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 570ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 572ms

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 (+2.3 against its own average).

Aim7.2
Utility4.6
Positioning6.5
Opening Duels5.9
Clutch0.0

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

jL

Plays most like jL 96% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning 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

Strengths

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

Areas to improve

Reaction time. 556ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim7.2
Positioning6.5
Utility4.6
Mechanics4.1
Opening Duels7.8
Win Impact5.6

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 rating0.01+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time558ms−95ms
first ⅓ avg 653ms → last ⅓ avg 558ms
Headshot accuracy16.8%−0.0%
first ⅓ avg 16.8% → last ⅓ avg 16.8%

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

0.14Best match rating · 13–4 · anubis, 17 Sept →
35%Best headshot accuracy · 4–13 · nuke, 12 Nov →
391msFastest reaction time · 7–13 · office, 19 Sept →
13–0Biggest win · anubis, 12 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

anubisBest map · 57% over 7infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B2614–1254%-0.00
ancientD196–1332%0.02
mirageC176–1135%-0.01
nukeB126–650%-0.01
infernoD113–827%-0.00
anubisA74–357%0.03
cacheD62–433%-0.02
office—10–10%-0.03
vertigo—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7Matches
57%Win rate
1.21Avg K/D
72.1ADR
36%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWWL

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.

17.0%Headshot accuracy
36.8%Accuracy (enemy spotted)
37.0%Spray accuracy
68.5%Counter-strafing
8.0°Preaim
556msReaction time
64.9%T opening success
57.2%CT opening success
0.63Enemies flashed / flash
5.6%Flash assists
12.34HE damage / grenade
3.30Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.2971 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke4–130.0135%12 Nov →
anubis13–110.0112%12 Nov →
ancient5–13-0.0128%11 Nov →
ancient13–80.049%23 Oct →
inferno3–9-0.0914%23 Oct →
anubis15–150.0314%16 Oct →
inferno14–16-0.0417%16 Oct →
dust213–100.0827%16 Oct →
dust210–130.0423%4 Oct →
inferno13–90.0919%4 Oct →
mirage10–13-0.0113%4 Oct →
mirage10–130.0631%26 Sept →
dust214–16-0.0016%26 Sept →
office7–13-0.0315%19 Sept →
ancient13–60.0314%19 Sept →
anubis13–40.1423%17 Sept →
dust29–13-0.0114%17 Sept →
dust212–120.0722%6 Sept →
inferno6–130.0722%29 Aug →
dust213–10-0.038%23 Aug →
dust213–8-0.1211%23 Aug →
dust26–13-0.068%23 Aug →
nuke13–5-0.027%23 Aug →
ancient6–130.0217%21 Aug →
dust215–150.0224%21 Aug →
mirage13–80.0118%21 Aug →
dust213–20.1116%21 Aug →
dust213–5-0.077%21 Aug →
nuke13–11-0.0213%17 Aug →
ancient13–100.1415%17 Aug →
nuke4–13-0.0311%14 Aug →
dust28–13-0.0317%14 Aug →
dust213–50.0516%14 Aug →
ancient10–130.0113%14 Aug →
inferno9–5-0.0415%14 Aug →
nuke4–130.0014%14 Aug →
ancient10–130.0515%13 Aug →
dust213–60.0329%13 Aug →
ancient10–13-0.0120%12 Aug →
anubis13–00.1228%12 Aug →
dust213–8-0.0530%12 Aug →
mirage16–14-0.0518%12 Aug →
mirage12–16-0.0225%8 Aug →
vertigo5–13-0.0219%8 Aug →
cache4–13-0.109%8 Aug →
anubis13–10-0.029%8 Aug →
ancient13–60.012%8 Aug →
dust24–130.0011%8 Aug →
inferno13–3-0.0414%7 Aug →
ancient7–130.0625%7 Aug →
nuke16–120.0313%7 Aug →
dust213–100.0815%7 Aug →
inferno5–9-0.0016%7 Aug →
cache13–90.0216%3 Aug →
dust213–7-0.1019%26 Jul →
nuke3–13-0.0324%26 Jul →
mirage3–130.0112%26 Jul →
ancient10–130.0219%26 Jul →
mirage13–80.0312%24 Jul →
mirage13–11-0.0315%24 Jul →
dust213–80.0333%24 Jul →
ancient6–13-0.0211%24 Jul →
mirage3–13-0.0619%19 Jul →
ancient10–13-0.1022%19 Jul →
inferno5–13-0.0415%19 Jul →
nuke16–14-0.0325%19 Jul →
ancient11–130.0524%17 Jul →
mirage13–16-0.0111%16 Jul →
nuke6–13-0.0215%16 Jul →
mirage6–13-0.0624%16 Jul →
mirage10–13-0.0216%12 Jul →
inferno4–130.0017%12 Jul →
dust23–13-0.0424%10 Jul →
anubis3–13-0.069%10 Jul →
ancient16–120.0919%10 Jul →
dust213–100.0222%10 Jul →
nuke13–90.0216%10 Jul →
cache10–13-0.0111%5 Jul →
dust210–13-0.0413%21 Jun →
mirage3–130.0018%19 Jun →
mirage9–130.0622%19 Jun →
nuke16–140.0021%12 Jun →
ancient4–13-0.059%27 May →
dust28–130.0130%27 May →
mirage13–11-0.0216%27 May →
ancient16–130.0513%24 May →
mirage13–90.0722%24 May →
anubis10–130.0115%24 May →
ancient11–13-0.0321%24 May →
dust213–6-0.0219%24 May →
cache6–13-0.058%23 May →
inferno8–130.0312%19 May →
dust213–10-0.0114%19 May →
mirage7–13-0.0613%19 May →
dust211–130.0212%17 May →
ancient6–130.0313%17 May →
nuke9–13-0.0911%10 May →
inferno8–80.0417%10 May →
cache8–13-0.0121%2 May →
cache13–30.0430%2 May →

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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