Pondeh

Pondeh — CS2 Stats

SG76561198296947973[U:1:336682245]Steam profile ↗✓ No bans

114Tracked matches40%Win rate2020Tracked since
933Hours in CS
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating18,894Top 50% of 204,316 CSDB-tracked playersPurple band · top ~12.9% of ranked players (population est.)
CSDB Leaderboard#96815 of 251459 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 2026 (16 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: 18,894 +16,269 29 Dec – 28 Sept · 29 days played
2,62521,404peak 21,40429 Dec28 Sept
21,404Peak Premier in tracked matches
58Days played since 2020-10-13

Premier CS Rating

  • 2,510 below peak (21,404)
  • -1,106 over 30 days · declining
  • Next: Pink band at 20,000 — 1,106 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate26.4%44.3%46.9%20.6% short
Shot accuracy16.3%11.9%13.0%above
Kill/death ratio1.261.031.08above
Match win rate51.2%45.2%46.7%above

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

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

Share this profile

CSDB.GGPondehPREMIER18,894 · Purple bandcsdb.gg/stats

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Performance scores

Aim54
Positioning66
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY54–44–1Last 9955%Win rateWWLWLLLWLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +3.2pp headshot accuracy · +48ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 551ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 575ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 551ms

Newest first, from the last 99 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 against its own average).

Aim5.4
Utility3.2
Positioning6.6
Opening Duels4.0

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

donk

Plays most like donk 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 72% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 72% on T to 46% on CT — first contacts on the defending side are being lost.

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

Aim5.4
Positioning6.6
Utility3.2
Mechanics4.0
Opening Duels7.0
Win Impact1.7

Composite 4.9/10 (Developing), 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 0.02 → last ⅓ avg 0.01
Reaction time548ms−104ms
first ⅓ avg 652ms → last ⅓ avg 548ms
Headshot accuracy15.4%−0.8%
first ⅓ avg 16.3% → last ⅓ avg 15.4%

Rolling 5-match average across the last 99 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.14Best match rating · 7–3 · dust2, 23 Jan →
50%Best headshot accuracy · 6–1 · mirage, 4 Feb →
406msFastest reaction time · 13–8 · nuke, 13 Sept →
16–1Biggest win · overpass, 25 Oct →

Across the last 99 tracked matches.

Highlights

5Longest win streak
W2Current streak
7–10In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 67% over 12anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2A2817–1161%0.02
mirageB2613–1350%0.00
nukeS128–467%0.02
infernoA106–460%0.01
ancientA85–363%0.02
anubisD61–517%0.02
overpass—43–175%0.03
cache—30–30%-0.02
vertigo—21–150%0.00

Across the last 99 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,498Lifetime kills
1.26K/D · Top 25% of Purple band
2,788Matches
51.2%Match win rate · Top 25% of Purple band
26.4%Headshot %
16.3%Shot accuracy · Top 25% of Purple band
5,302MVPs
933Hours (in match)
1,361Bombs planted
499Bombs defused

Most-used weapons

AWP7,656
AK-476,216
G3SG14,029
SCAR-203,402
SSG 081,650
P901,128

Lifetime map wins

3,646dust2
2,905inferno
1,457office
830italy
503nuke
481train
343vertigo
139cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.4%Headshot accuracy
31.6%Accuracy (enemy spotted)
37.8%Spray accuracy
68.0%Counter-strafing
10.3°Preaim
546msReaction time
71.8%T opening success
46.3%CT opening success
0.49Enemies flashed / flash
2.3%Flash assists
6.21HE damage / grenade
5.12Flashes / 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 14.3974% — 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 0.4895 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–50.1323%28 Sept →
dust213–100.0013%28 Sept →
ancient10–130.0313%28 Sept →
nuke13–40.0314%28 Sept →
anubis4–130.0311%28 Sept →
dust211–13-0.0212%28 Sept →
anubis0–40.0033%27 Sept →
inferno13–70.0211%27 Sept →
mirage5–13-0.0514%27 Sept →
mirage12–16-0.0418%27 Sept →
inferno13–7-0.018%27 Sept →
cache7–13-0.0321%27 Sept →
nuke13–7-0.0112%27 Sept →
dust25–13-0.0112%26 Sept →
ancient13–110.0215%26 Sept →
nuke13–30.079%23 Sept →
anubis11–13-0.0415%23 Sept →
ancient11–13-0.0413%23 Sept →
dust26–13-0.019%20 Sept →
mirage13–80.0716%20 Sept →
inferno13–11-0.0019%20 Sept →
mirage6–13-0.0517%19 Sept →
dust211–130.0319%19 Sept →
mirage10–130.0316%16 Sept →
anubis11–130.0414%15 Sept →
dust27–13-0.0518%15 Sept →
inferno11–130.0012%14 Sept →
inferno13–90.007%14 Sept →
nuke13–8-0.0117%13 Sept →
cache10–13-0.0215%13 Sept →
vertigo13–40.0429%12 Sept →
mirage10–130.0421%3 Sept →
nuke13–160.0115%3 Sept →
dust213–100.0226%2 Sept →
dust29–130.1014%31 Aug →
dust213–100.0116%31 Aug →
dust213–7-0.048%30 Aug →
ancient13–90.0715%30 Aug →
nuke10–13-0.0611%28 Aug →
dust213–30.0413%27 Aug →
dust213–90.0419%27 Aug →
ancient7–13-0.0316%27 Aug →
nuke10–130.039%27 Aug →
dust213–60.0520%26 Aug →
ancient13–10-0.0012%25 Aug →
anubis11–130.0113%25 Aug →
anubis13–30.0723%25 Aug →
dust213–110.0317%24 Aug →
dust213–11-0.0016%24 Aug →
nuke13–20.0412%20 Aug →
dust213–30.0810%20 Aug →
dust26–130.0726%20 Aug →
dust213–7-0.0617%14 Aug →
mirage6–13-0.0911%14 Aug →
nuke13–100.0314%7 Aug →
ancient13–90.0615%7 Aug →
dust29–13-0.0013%7 Aug →
nuke13–80.0215%5 Aug →
dust210–13-0.0014%5 Aug →
dust29–13-0.0711%4 Aug →
dust216–12-0.0110%1 Aug →
mirage16–14-0.0219%28 Jul →
inferno11–130.0312%25 Jul →
mirage13–110.0020%25 Jul →
nuke10–13-0.0113%23 Jul →
mirage12–16-0.0619%19 Jul →
mirage13–90.0117%17 Jul →
dust213–10.0922%13 Jul →
ancient13–30.0318%31 May →
overpass3–130.0011%10 Jan →
overpass13–90.0412%9 Jan →
mirage6–13-0.0316%5 Jan →
mirage13–110.0111%5 Jan →
dust213–40.0835%6 Dec →
overpass13–80.077%2 Aug →
mirage13–90.026%24 May →
mirage5–13-0.048%3 May →
inferno9–130.0517%18 Feb →
mirage13–7-0.0225%18 Feb →
mirage13–90.0026%10 Feb →
mirage9–130.1116%10 Feb →
inferno8–130.0215%9 Feb →
dust213–90.0517%7 Feb →
mirage13–60.0013%25 Jan →
dust27–30.145%23 Jan →
mirage11–130.0114%11 Jan →
inferno13–9-0.009%11 Jan →
inferno10–3-0.0119%10 Jan →
dust215–15-0.0014%30 Dec →
mirage13–6-0.0017%30 Dec →
vertigo11–13-0.048%29 Dec →
mirage7–130.049%27 Dec →
mirage10–130.0313%24 Dec →
mirage13–80.1019%18 Nov →
dust213–40.0419%16 Nov →
mirage6–10.0050%4 Feb →
mirage16–40.0013%28 Oct →
overpass16–10.0020%25 Oct →
cache11–160.0019%13 Oct →

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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