PindaGrimReaper[PGR]

PindaGrimReaper[PGR] — CS2 Stats

MG76561198444910761[U:1:484645033]Steam profile ↗✓ No bans

2,879Tracked matches41%Win rate2020Tracked since
6,056Hours in CS18Hrs last 2 wks
CSDB Rating4.9 DevelopingSupport
Premier CS Rating13,116Blue band · top ~38.4% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (3 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: 13,116 -729 24 Aug – 16 Oct · 37 days played
12,67916,827peak 16,82724 Aug16 Oct
16,827Peak Premier in tracked matches
38Days played since 2026-08-24

Premier CS Rating

  • 3,711 below peak (16,827)
  • -3,711 over 30 days · declining
  • Next: Purple band at 15,000 — 1,884 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-09
  • Blue band first seen 2026-08-28

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 4 among CSDB-tracked players (n=14,312), 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 4 medianLevel 5 medianvs Level 5
Headshot rate37.7%42.7%43.7%6.0% short
Shot accuracy17.4%11.3%12.0%above
Kill/death ratio1.020.991.02meets
Match win rate43.1%43.9%44.7%1.6% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPindaGrimReaper[PGR]FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,116 · Blue 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

Aim60
Positioning53
Utility66

0–100 skill scores via Leetify.

Recent form

COLD47–49–4Last 10047%Win rateWLLWLLLLWL

Last 10 vs previous 10: −10pp win rate · −0.06 avg rating · −0.4pp headshot accuracy · +70ms 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 -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 576ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 566ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 531ms

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: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim6.0
Utility6.6
Positioning5.3
Opening Duels2.2

Effective flashes

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

ZywOo

Plays most like ZywOo 81% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 60% on T to 33% on CT — first contacts on the defending side are being lost.

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

Aim6.0
Positioning5.3
Utility6.6
Mechanics4.3
Opening Duels4.2
Win Impact2.1

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time540ms+13ms
first ⅓ avg 527ms → last ⅓ avg 540ms
Headshot accuracy12.3%−0.4%
first ⅓ avg 12.7% → last ⅓ avg 12.3%

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 · 13–5 · cache, 5 Oct →
28%Best headshot accuracy · 12–16 · inferno, 24 Aug →
406msFastest reaction time · 13–6 · ancient, 5 Oct →
13–1Biggest win · cache, 3 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 73% over 15nukeWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
infernoD217–1433%0.00
dust2C176–1135%-0.02
cacheS1511–473%0.01
ancientA127–558%0.02
mirageA117–464%-0.02
anubisS118–373%-0.00
nukeD111–109%0.01
train—20–20%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

181,104Lifetime kills
1.02K/D · Top 50% of Level 4 players
8,353Matches
43.1%Match win rate
37.7%Headshot %
17.4%Shot accuracy · Top 25% of Level 4 players
23,128MVPs
3,749Hours (in match)
7,018Bombs planted
2,003Bombs defused

Most-used weapons

AK-4737,964
AWP27,536
MP95,035
FAMAS4,368
MAC-104,329

Lifetime map wins

21,598inferno
8,667nuke
4,095train
3,770dust2
2,274vertigo
756cbble
245office
134lake

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

Faceit stats

Combat

295Matches
50%Win rate
0.92Avg K/D
—ADR
34%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1100%1.1317.0
Nuke10%0.8822.0

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.

12.7%Headshot accuracy
34.6%Accuracy (enemy spotted)
36.5%Spray accuracy
69.3%Counter-strafing
9.6°Preaim
535msReaction time
60.2%T opening success
33.5%CT opening success
0.72Enemies flashed / flash
11.6%Flash assists
9.56HE damage / grenade
7.46Flashes / 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 12.6615% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.4693% — below the 40% mark we flag

Spend your practice time on Nuke

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

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–40.0816%16 Oct →
inferno4–13-0.0219%15 Oct →
mirage8–13-0.0519%13 Oct →
anubis13–4-0.0311%13 Oct →
ancient10–13-0.076%12 Oct →
cache9–13-0.088%12 Oct →
dust23–13-0.043%11 Oct →
dust210–13-0.0618%11 Oct →
cache13–11-0.082%11 Oct →
dust210–130.0514%7 Oct →
dust213–20.0314%7 Oct →
inferno8–130.017%7 Oct →
train11–13-0.0411%7 Oct →
train12–12-0.076%7 Oct →
cache13–80.0711%6 Oct →
anubis10–130.0314%6 Oct →
inferno11–130.0112%5 Oct →
ancient13–60.0217%5 Oct →
cache13–50.2018%5 Oct →
nuke6–130.019%5 Oct →
dust213–160.0224%4 Oct →
ancient13–11-0.0119%4 Oct →
mirage13–60.0218%4 Oct →
anubis13–11-0.0415%3 Oct →
cache13–10.0213%3 Oct →
dust25–13-0.059%3 Oct →
dust29–13-0.0910%2 Oct →
cache13–2-0.0013%2 Oct →
anubis14–16-0.0215%2 Oct →
nuke7–13-0.028%1 Oct →
cache5–13-0.0210%1 Oct →
nuke6–13-0.019%30 Sept →
mirage9–13-0.0711%30 Sept →
anubis16–13-0.0112%28 Sept →
inferno15–15-0.0510%28 Sept →
mirage2–13-0.0612%28 Sept →
nuke11–130.0213%27 Sept →
inferno4–13-0.1013%27 Sept →
dust215–150.0219%27 Sept →
mirage13–7-0.0013%26 Sept →
anubis16–12-0.019%24 Sept →
cache13–40.0812%23 Sept →
nuke9–130.0418%22 Sept →
anubis13–50.0712%21 Sept →
dust25–13-0.0411%21 Sept →
mirage13–6-0.045%21 Sept →
ancient13–40.069%19 Sept →
ancient7–130.0315%19 Sept →
nuke5–130.0114%19 Sept →
inferno5–130.078%17 Sept →
cache11–13-0.0411%17 Sept →
mirage13–9-0.0713%16 Sept →
dust213–10-0.0011%16 Sept →
ancient13–70.0614%14 Sept →
dust23–13-0.0515%13 Sept →
inferno13–9-0.0319%13 Sept →
ancient13–9-0.037%13 Sept →
anubis13–5-0.016%13 Sept →
inferno13–100.0014%10 Sept →
dust23–13-0.0412%10 Sept →
cache13–10-0.018%7 Sept →
ancient16–13-0.0010%6 Sept →
inferno14–16-0.0021%6 Sept →
dust213–4-0.047%6 Sept →
inferno13–80.1013%6 Sept →
mirage11–13-0.028%5 Sept →
inferno1–13-0.1013%5 Sept →
nuke6–130.0120%5 Sept →
mirage13–30.0215%5 Sept →
cache13–60.0220%5 Sept →
anubis14–160.0612%5 Sept →
inferno11–130.0214%5 Sept →
anubis13–3-0.068%5 Sept →
ancient13–30.0419%5 Sept →
dust213–40.027%5 Sept →
inferno13–100.0114%5 Sept →
nuke13–11-0.037%4 Sept →
mirage13–7-0.068%4 Sept →
dust213–60.0317%4 Sept →
inferno8–13-0.003%3 Sept →
anubis13–4-0.029%3 Sept →
ancient7–130.1112%3 Sept →
nuke15–150.0511%2 Sept →
inferno10–130.0016%2 Sept →
inferno13–30.0012%1 Sept →
ancient7–13-0.0315%1 Sept →
cache13–60.015%1 Sept →
inferno3–130.029%31 Aug →
mirage13–80.0919%31 Aug →
ancient10–130.037%31 Aug →
inferno13–60.0514%31 Aug →
inferno7–13-0.039%28 Aug →
nuke7–130.0314%28 Aug →
cache13–100.0112%28 Aug →
dust213–10.0116%28 Aug →
cache10–13-0.047%28 Aug →
dust28–13-0.0119%27 Aug →
inferno13–110.1015%26 Aug →
inferno12–160.0328%24 Aug →
nuke7–13-0.045%24 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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