pignumies99

pignumies99 — CS2 Stats

FI76561198098083976[U:1:137818248]Steam profile ↗✓ No bans

190Tracked matches55%Win rate2021Tracked since
241Hours in CS
CSDB Rating2.8 LearningPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 8,658 -225 4 Feb – 5 Feb · 2 days played
8,6588,883peak 8,8834 Feb5 Feb
8,883Peak Premier in tracked matches
44Days played since 2024-02-04

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

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,051), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate42.7%41.8%42.7%meets
Shot accuracy11.7%12.2%11.3%above
Kill/death ratio0.740.980.990.25 short
Match win rate44.3%43.3%43.9%meets

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGpignumies99FACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim13
Positioning40
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY48–46–6Last 10048%Win rateLLWWLLWLLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +0.6pp headshot accuracy · −105ms reaction

Win rate down 30pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 747ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 743ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 795ms

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 (+2.5 against its own average).

Aim1.3
Utility1.9
Positioning4.0
Opening Duels0.0
Clutch0.0

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

NiKo

Plays most like NiKo 64% 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. 799ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim1.3
Positioning4.0
Utility1.9
Mechanics4.2
Opening Duels0.3
Win Impact6.7

Composite 2.8/10 (Learning), 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-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time788ms+104ms
first ⅓ avg 684ms → last ⅓ avg 788ms
Headshot accuracy18.2%+2.1%
first ⅓ avg 16.1% → last ⅓ avg 18.2%

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

0.10Best match rating · 13–3 · office, 25 Feb →
50%Best headshot accuracy · 3–6 · office, 20 Feb →
391msFastest reaction time · 8–13 · office, 7 Apr →
13–1Biggest win · office, 5 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
3–9In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 62% over 13mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
officeB4019–2148%-0.04
dust2A138–562%-0.04
nukeC94–544%-0.08
infernoC73–443%-0.05
mirageD72–529%-0.04
ancientD62–433%-0.02
vertigoB63–350%-0.13
overpass—44–0100%-0.05
train—31–233%-0.08
anubis—31–233%-0.07
jura—10–10%-0.05
grail—11–0100%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,610Lifetime kills
0.74K/D
643Matches
44.3%Match win rate · Top 50% of Level 3 players
42.7%Headshot % · Top 50% of Level 3 players
11.7%Shot accuracy
1,023MVPs
241Hours (in match)
951Bombs planted
90Bombs defused

Most-used weapons

Lifetime map wins

1,430dust2
454nuke
453office
441vertigo
368inferno
266train
33cbble
4ar_shoots

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

Faceit stats

Combat

13Matches
38%Win rate
0.49Avg K/D
35.2ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage333%0.479.0
Nuke333%0.386.7
Ancient2100%0.477.5
Vertigo20%0.5814.5
Anubis10%0.6111.0
Inferno1100%0.647.0
Dust210%0.478.0

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.

17.7%Headshot accuracy
22.4%Accuracy (enemy spotted)
24.3%Spray accuracy
69.1%Counter-strafing
11.3°Preaim
799msReaction time
21.4%T opening success
32.3%CT opening success
0.40Enemies flashed / flash
3.6%Flash assists
7.30HE damage / grenade
5.61Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 798.8248ms — above the 700ms 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 0.4042 — 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 21.4286% — below the 40% mark we flag

Spend your practice time on Mirage

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient8–13-0.0110%8 Apr →
inferno5–13-0.0433%8 Apr →
dust213–7-0.0110%8 Apr →
overpass13–11-0.0618%8 Apr →
train2–13-0.0820%24 May →
jura11–13-0.0517%24 May →
dust213–50.0111%24 May →
ancient7–13-0.0713%24 May →
inferno9–13-0.0322%23 May →
vertigo13–5-0.0617%23 May →
grail13–10-0.0318%9 May →
mirage6–7-0.0313%7 May →
mirage11–13-0.0321%3 May →
ancient13–50.0115%3 May →
overpass13–2-0.0013%3 May →
dust213–9-0.0121%3 May →
mirage13–4-0.0619%20 Apr →
vertigo12–3-0.077%20 Apr →
dust212–12-0.0416%5 Apr →
dust213–11-0.0124%5 Apr →
office8–13-0.0624%1 Apr →
dust213–9-0.0322%1 Apr →
anubis13–7-0.0918%1 Apr →
inferno13–4-0.0521%1 Apr →
dust24–6-0.090%21 Mar →
vertigo13–9-0.129%21 Mar →
dust210–130.0026%17 Mar →
inferno13–5-0.0529%17 Mar →
mirage9–13-0.0815%17 Mar →
office6–13-0.0815%25 Feb →
dust213–70.0115%21 Feb →
vertigo10–13-0.0518%21 Feb →
office3–6-0.1050%20 Feb →
anubis12–12-0.0710%17 Feb →
overpass13–5-0.0721%17 Feb →
mirage13–20.0213%16 Feb →
nuke9–13-0.0918%16 Feb →
train11–13-0.126%16 Feb →
dust213–8-0.059%16 Feb →
inferno3–4-0.130%16 Feb →
ancient13–4-0.0014%16 Feb →
inferno12–12-0.0010%16 Feb →
mirage12–6-0.016%4 Feb →
inferno13–5-0.0223%4 Feb →
mirage10–13-0.0719%4 Feb →
dust20–8-0.0822%23 Jan →
train13–7-0.058%6 Dec →
office12–12-0.0811%25 Sept →
office13–1-0.0610%5 Sept →
dust26–13-0.1320%4 Sept →
dust213–5-0.0621%4 Sept →
office9–13-0.1019%4 Sept →
nuke1–6-0.1550%24 Aug →
nuke13–40.0121%24 Aug →
nuke7–13-0.1024%17 May →
office13–6-0.0310%27 Apr →
office8–13-0.1021%27 Apr →
office2–9-0.0629%19 Apr →
office13–5-0.119%8 Apr →
nuke13–3-0.013%8 Apr →
office8–13-0.0813%7 Apr →
office13–3-0.013%7 Apr →
office13–3-0.028%7 Apr →
nuke1–6-0.1025%5 Apr →
office13–4-0.0218%3 Apr →
nuke13–6-0.0414%3 Apr →
nuke13–5-0.043%3 Apr →
office8–13-0.0521%2 Apr →
office13–2-0.0238%2 Apr →
office10–10.0320%2 Apr →
office13–40.0113%2 Apr →
office13–110.0416%2 Apr →
ancient3–60.0144%28 Mar →
office1–12-0.105%25 Mar →
office13–4-0.046%25 Mar →
office9–13-0.0113%25 Mar →
office11–11-0.0318%15 Mar →
office13–100.0318%15 Mar →
office13–8-0.0312%15 Mar →
office0–13-0.1038%14 Mar →
office13–5-0.0416%14 Mar →
office5–40.0613%6 Mar →
office13–60.0124%6 Mar →
office12–12-0.064%6 Mar →
office6–00.055%6 Mar →
office3–12-0.1850%26 Feb →
nuke3–9-0.2421%26 Feb →
vertigo0–7-0.250%26 Feb →
vertigo0–9-0.2212%26 Feb →
office13–30.1016%25 Feb →
office11–12-0.0422%18 Feb →
office4–13-0.0820%17 Feb →
office13–6-0.0825%17 Feb →
office2–5-0.090%12 Feb →
office5–10.060%12 Feb →
office1–4-0.150%12 Feb →
office12–12-0.059%7 Feb →
ancient10–13-0.0611%5 Feb →
anubis5–13-0.047%5 Feb →
overpass13–9-0.0812%4 Feb →

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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