nagyerfor13

nagyerfor13 — CS2 Stats

76561199585021225[U:1:1624755497]Steam profile ↗✓ No bans

219Tracked matches61%Win rate2026Tracked since
CSDB Rating2.9 LearningPositional Player
Premier CS Rating4,656Grey band · top ~80.3% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (26 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: 4,656 +484 15 Oct – 19 Oct · 5 days played
4,0844,656peak 4,65615 Oct19 Oct
4,911Peak Premier in tracked matches
35Days played since 2026-05-26

Premier CS Rating

  • At peak — 4,656
  • Next: Light Blue band at 5,000 — 344 to go

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

Share this profile

CSDB.GGnagyerfor13FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER4,656 · Grey 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

Aim24
Positioning49
Utility24

0–100 skill scores via Leetify.

Recent form

COLD42–52–6Last 10042%Win rateWTWLLLWLTL

Last 10 vs previous 10: −50pp win rate · +0.01 avg rating · −3.3pp headshot accuracy · −36ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 7%
  • Avg reaction 713ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 7%
  • Avg reaction 599ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 8%
  • Avg reaction 616ms

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).

Aim2.4
Utility2.4
Positioning4.9
Opening Duels1.2
Clutch4.0

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 68% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

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. 619ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 53% 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

Aim2.4
Positioning4.9
Utility2.4
Mechanics0.6
Opening Duels2.0
Win Impact8.6

Composite 2.9/10 (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 rating-0.01+0.03
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time607ms−41ms
first ⅓ avg 648ms → last ⅓ avg 607ms
Headshot accuracy10.1%+0.7%
first ⅓ avg 9.5% → last ⅓ avg 10.1%

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

0.20Best match rating · 9–1 · inferno, 12 Jun →
28%Best headshot accuracy · 3–13 · ancient, 14 Oct →
344msFastest reaction time · 0–10 · anubis, 24 Sept →
13–0Biggest win · nuke, 3 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–12In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 64% over 11infernoWeakest map · 26% over 27
MapGradePlayedRecordWin rateAvg rating
infernoD277–2026%-0.03
nukeB178–947%-0.04
ancientD134–931%-0.02
mirageC135–838%-0.02
anubisB115–645%-0.03
dust2A117–464%-0.02
cache—43–175%-0.05
poseidon—11–0100%0.05
overpass—10–10%-0.04
vertigo—11–0100%-0.11
office—11–0100%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (26% over 27). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

48Matches
35%Win rate
0.72Avg K/D
62.2ADR
32%Headshot %

Clutches & streaks

40%1v1 clutch win
6%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1323%0.619.4
Nuke922%0.6611.4
Dust2944%0.7711.4
Ancient743%0.7111.9
Inferno560%0.9412.2
Cache367%1.0510.3
Anubis20%0.6019.0

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.

10.3%Headshot accuracy
31.4%Accuracy (enemy spotted)
31.7%Spray accuracy
52.9%Counter-strafing
10.9°Preaim
619msReaction time
39.9%T opening success
36.4%CT opening success
0.27Enemies flashed / flash
4.9%Flash assists
4.01HE damage / grenade
2.48Flashes / 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 10.2562% — below the 15% mark we flag

    Aim Training →
  2. 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 0.2684 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 39.9313% — below the 40% mark we flag

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.

26% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–10-0.047%19 Oct →
mirage15–150.108%18 Oct →
nuke16–13-0.016%17 Oct →
ancient10–13-0.006%17 Oct →
nuke0–9-0.088%17 Oct →
anubis0–12-0.030%16 Oct →
dust213–50.0516%16 Oct →
anubis0–20.000%16 Oct →
inferno15–150.048%16 Oct →
dust210–13-0.058%16 Oct →
mirage13–5-0.085%16 Oct →
mirage13–9-0.037%16 Oct →
cache13–80.019%15 Oct →
nuke13–80.0312%15 Oct →
nuke8–130.1015%15 Oct →
dust213–40.0314%15 Oct →
inferno13–7-0.0710%15 Oct →
dust213–10-0.049%15 Oct →
anubis13–7-0.0414%15 Oct →
mirage11–13-0.035%14 Oct →
ancient3–130.0128%14 Oct →
dust24–13-0.0112%14 Oct →
ancient9–13-0.0611%13 Oct →
cache13–5-0.0411%12 Oct →
dust213–4-0.0121%12 Oct →
nuke13–100.0122%12 Oct →
mirage5–13-0.080%6 Oct →
ancient13–3-0.029%3 Oct →
dust27–4-0.069%3 Oct →
inferno9–30.1111%2 Oct →
inferno13–11-0.0112%2 Oct →
mirage13–2-0.048%1 Oct →
ancient13–110.0413%1 Oct →
inferno7–9-0.129%1 Oct →
inferno9–4-0.126%1 Oct →
ancient7–13-0.0410%30 Sept →
nuke8–8-0.1317%28 Sept →
dust24–13-0.0515%28 Sept →
mirage3–130.0213%28 Sept →
ancient7–130.048%28 Sept →
mirage5–13-0.0823%24 Sept →
anubis0–10-0.073%24 Sept →
anubis8–1-0.0125%24 Sept →
mirage8–13-0.012%24 Sept →
inferno1–7-0.0610%24 Sept →
nuke7–13-0.095%24 Sept →
mirage13–40.075%23 Sept →
dust213–10-0.0312%23 Sept →
anubis13–40.016%23 Sept →
anubis0–13-0.0611%23 Sept →
ancient7–13-0.067%23 Sept →
cache11–13-0.117%21 Sept →
nuke9–30.0414%21 Sept →
dust28–13-0.058%9 Sept →
inferno8–80.004%9 Sept →
ancient11–13-0.082%8 Sept →
poseidon9–70.0516%8 Sept →
inferno6–9-0.1012%8 Sept →
inferno2–13-0.0119%2 Sept →
nuke4–13-0.0811%2 Sept →
inferno7–90.0113%1 Sept →
inferno4–9-0.1713%14 Aug →
anubis13–10-0.017%14 Aug →
mirage4–13-0.044%9 Aug →
nuke13–60.076%31 Jul →
nuke13–8-0.0115%31 Jul →
inferno8–8-0.0913%31 Jul →
nuke0–9-0.340%31 Jul →
dust213–80.0516%25 Jul →
anubis11–13-0.0413%24 Jul →
inferno3–13-0.099%2 Jul →
anubis14–16-0.0515%2 Jul →
inferno5–9-0.037%2 Jul →
nuke5–9-0.180%2 Jul →
mirage13–10-0.0610%30 Jun →
overpass9–13-0.0418%22 Jun →
mirage10–13-0.0314%21 Jun →
inferno10–13-0.0114%21 Jun →
inferno8–80.0617%21 Jun →
inferno9–10.205%12 Jun →
cache13–9-0.0711%11 Jun →
inferno11–13-0.058%11 Jun →
nuke7–9-0.0611%3 Jun →
nuke4–9-0.075%3 Jun →
inferno9–20.0015%3 Jun →
inferno6–90.085%3 Jun →
inferno2–9-0.169%3 Jun →
vertigo4–9-0.110%3 Jun →
inferno4–130.0011%3 Jun →
inferno10–130.008%3 Jun →
ancient13–70.038%3 Jun →
nuke13–00.1217%3 Jun →
ancient5–13-0.066%3 Jun →
office13–9-0.0315%1 Jun →
anubis13–30.0012%1 Jun →
inferno10–13-0.076%26 May →
inferno16–14-0.078%26 May →
ancient11–13-0.086%26 May →
inferno7–9-0.034%26 May →
nuke13–60.0610%26 May →

Match data via Leetify.

Recent teammates

Milestones

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

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