PEAKS

PEAKS — CS2 Stats

KY76561198173123326[U:1:212857598]Steam profile ↗VAC banned

581Tracked matches31%Win rate2022Tracked since
CSDB Rating3.8 LearningPositional Player
Premier CS Rating8,536Light Blue band · top ~61.9% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 8,536 → 8,536
+2Tracked matches · now 581
−3.9ppWin rate · 34.6% → 30.8%

Rating over time

Premier CS Rating: 8,536 -839 21 Jul – 14 Nov · 41 days played
8,24512,883peak 12,88321 Jul14 Nov
12,883Peak Premier in tracked matches
36Days played since 2026-07-21

Premier CS Rating

  • 4,347 below peak (12,883)
  • -20 over 30 days · steady
  • -2,854 over 90 days
  • Next: Blue band at 10,000 — 1,464 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-19
  • Light Blue band first seen 2026-09-19

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

Share this profile

CSDB.GGPEAKSFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER8,536 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim48
Positioning58
Utility35

0–100 skill scores via Leetify.

Recent form

COLD39–56–5Last 10039%Win rateLLLLWWLLTL

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · −0.1pp headshot accuracy · −55ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 477ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 556ms

Last 20

  • 4–14–2 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 583ms

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 (+1.8 against its own average).

Aim4.8
Utility3.5
Positioning5.8
Opening Duels2.6

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 79% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

Reaction time. 617ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim4.8
Positioning5.8
Utility3.5
Mechanics3.7
Opening Duels5.8
Win Impact0.0

Composite 3.8/10 (Learning), 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 rating0.00−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time601ms−47ms
first ⅓ avg 647ms → last ⅓ avg 601ms
Headshot accuracy11.8%−0.6%
first ⅓ avg 12.4% → last ⅓ avg 11.8%

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

0.17Best match rating · 13–3 · cache, 13 Aug →
23%Best headshot accuracy · 1–13 · ancient, 24 Sept →
461msFastest reaction time · 6–13 · ancient, 13 Sept →
13–1Biggest win · nuke, 8 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
6–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 60% over 10infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC2610–1638%0.00
cacheB189–950%0.02
dust2C145–936%0.02
ancientD134–931%0.02
nukeA106–460%0.02
infernoD102–820%-0.00
anubisC73–443%0.01
office—10–10%-0.01
train—10–10%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
67%Win rate
0.51Avg K/D
—ADR
26%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

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.

11.9%Headshot accuracy
35.0%Accuracy (enemy spotted)
36.6%Spray accuracy
66.7%Counter-strafing
10.0°Preaim
617msReaction time
59.3%T opening success
46.9%CT opening success
0.53Enemies flashed / flash
4.2%Flash assists
10.20HE damage / grenade
2.41Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.864% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

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

    Flashes per match 2.4146 — 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
office10–13-0.0111%8 Nov →
cache5–13-0.050%8 Nov →
nuke8–13-0.028%23 Oct →
mirage8–130.0018%11 Oct →
nuke13–40.0011%11 Oct →
dust213–4-0.0411%11 Oct →
cache7–13-0.0116%11 Oct →
mirage12–16-0.0310%11 Oct →
cache15–15-0.039%26 Sept →
mirage5–130.0319%24 Sept →
inferno11–130.009%24 Sept →
ancient1–130.0223%24 Sept →
nuke6–13-0.087%22 Sept →
anubis13–100.0910%19 Sept →
cache13–90.0913%19 Sept →
ancient8–130.018%19 Sept →
cache10–130.1612%17 Sept →
mirage9–130.039%17 Sept →
cache15–150.0111%16 Sept →
inferno6–13-0.0810%13 Sept →
inferno15–150.0210%13 Sept →
ancient6–13-0.0610%13 Sept →
mirage13–5-0.0111%12 Sept →
dust213–80.018%12 Sept →
cache10–130.0214%10 Sept →
mirage13–40.0312%10 Sept →
mirage13–70.0621%10 Sept →
anubis8–13-0.0317%5 Sept →
cache15–15-0.0214%5 Sept →
dust26–130.006%5 Sept →
mirage13–160.0114%3 Sept →
inferno13–110.0413%3 Sept →
nuke9–13-0.0113%3 Sept →
inferno5–13-0.047%29 Aug →
mirage8–13-0.069%28 Aug →
anubis4–130.029%27 Aug →
nuke9–130.059%26 Aug →
mirage1–13-0.0416%26 Aug →
inferno13–40.0817%26 Aug →
ancient10–130.1112%25 Aug →
anubis11–130.0413%25 Aug →
mirage4–13-0.0011%25 Aug →
anubis13–10-0.039%22 Aug →
mirage11–13-0.0216%22 Aug →
dust213–80.0710%22 Aug →
dust27–13-0.0013%22 Aug →
cache13–9-0.0120%22 Aug →
ancient5–130.0420%19 Aug →
cache13–9-0.0312%19 Aug →
ancient15–150.0316%18 Aug →
cache13–70.0116%18 Aug →
mirage14–160.029%16 Aug →
dust22–130.0220%16 Aug →
mirage8–13-0.048%15 Aug →
ancient13–110.0512%15 Aug →
mirage16–130.0610%15 Aug →
train0–60.000%15 Aug →
mirage13–30.0417%14 Aug →
ancient16–14-0.0110%14 Aug →
dust26–130.038%13 Aug →
cache8–130.0219%13 Aug →
cache13–30.1712%13 Aug →
cache6–130.0013%12 Aug →
dust213–100.058%8 Aug →
ancient13–40.026%8 Aug →
mirage7–13-0.0012%8 Aug →
mirage16–130.0913%8 Aug →
ancient13–90.0013%8 Aug →
inferno5–13-0.0013%8 Aug →
anubis13–70.0310%8 Aug →
nuke13–10.1514%8 Aug →
cache13–70.0715%8 Aug →
nuke13–110.028%7 Aug →
ancient10–130.0711%7 Aug →
dust29–130.0614%6 Aug →
mirage13–30.0312%6 Aug →
nuke13–90.0119%5 Aug →
mirage5–13-0.0616%30 Jul →
dust29–13-0.019%30 Jul →
mirage13–90.0714%30 Jul →
ancient10–13-0.0312%30 Jul →
mirage11–13-0.0213%30 Jul →
inferno6–13-0.0612%30 Jul →
mirage7–13-0.0411%30 Jul →
ancient8–130.037%24 Jul →
cache13–60.0511%24 Jul →
inferno11–13-0.0115%24 Jul →
dust211–130.017%24 Jul →
inferno13–160.0212%23 Jul →
nuke16–130.068%23 Jul →
dust28–13-0.0215%23 Jul →
mirage13–9-0.0113%22 Jul →
cache13–8-0.047%22 Jul →
mirage13–110.0211%22 Jul →
anubis8–13-0.0410%21 Jul →
dust213–100.0413%21 Jul →
dust28–130.0814%21 Jul →
mirage10–130.0113%21 Jul →
cache13–110.0317%21 Jul →
nuke13–50.0420%21 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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