Khasman Poro Play

Khasman Poro Play — CS2 Stats

JO76561198148979241[U:1:188713513]Steam profile ↗✓ No bans

670Tracked matches47%Win rate2022Tracked since
1,836Hours in CS
CSDB Rating6.0 SolidPositional Player
Premier CS Rating14,146Blue band · top ~32.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (49 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 670 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,146 +1,691 3 Apr – 26 Sept · 23 days played
12,45516,051peak 16,0513 Apr26 Sept
16,303Peak Premier in tracked matches
1,362Highest Faceit ELO seen on CSDB
36Days played since 2026-04-03

Premier CS Rating

  • 1,905 below peak (16,051)
  • -1,322 over 30 days · declining
  • Next: Purple band at 15,000 — 854 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-26
  • Light Blue band first seen 2026-09-26

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate41.3%42.0%44.4%3.1% short
Shot accuracy17.3%9.6%11.9%above
Kill/death ratio1.040.981.03meets
Match win rate36.9%43.8%45.2%8.3% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGKhasman Poro PlayPREMIER14,146 · Blue bandPEAK ELO1,362csdb.gg/stats

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Performance scores

Aim85
Positioning51
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY45–46–9Last 10045%Win rateWWLLWWLWWL

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating · +4.6pp headshot accuracy · +3ms reaction

Win rate up 40pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 30%
  • Avg reaction 611ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 29%
  • Avg reaction 602ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 27%
  • Avg reaction 600ms

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 (+0.9 against its own average).

Aim8.5
Utility4.1
Positioning5.1
Opening Duels4.4
Clutch3.2

Sharp aimerExcellent counter-strafing

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 88% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success; lower positioning 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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 592ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim8.5
Positioning5.1
Utility4.1
Mechanics8.8
Opening Duels4.3
Win Impact3.9

Composite 6.0/10 (Solid), 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 0.00 → last ⅓ avg -0.01
Reaction time594ms−49ms
first ⅓ avg 643ms → last ⅓ avg 594ms
Headshot accuracy24.7%+3.5%
first ⅓ avg 21.1% → last ⅓ avg 24.7%

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

0.11Best match rating · 10–13 · cache, 1 May →
58%Best headshot accuracy · 2–7 · overpass, 16 Apr →
461msFastest reaction time · 3–13 · ancient, 14 Aug →
13–0Biggest win · ancient, 10 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
4–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 73% over 15cacheWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageC2410–1442%0.00
ancientB2110–1148%-0.00
anubisS1511–473%0.00
cacheC135–838%0.01
dust2A95–456%0.01
inferno—40–40%0.01
nuke—41–325%-0.02
overpass—41–325%-0.04
vertigo—42–250%-0.01
train—20–20%-0.04

Across the last 100 tracked matches.

Lifetime stats

126,580Lifetime kills
1.04K/D · Top 50% of Blue band
5,927Matches
36.9%Match win rate
41.3%Headshot %
17.3%Shot accuracy · Top 10% of Blue band
9,303MVPs
1,836Hours (in match)
3,036Bombs planted
764Bombs defused

Most-used weapons

AWP32,337
AK-4730,125
P2503,794
Molotov2,837
SSG 082,588
SG 5532,248

Lifetime map wins

25,104dust2
1,770inferno
1,547vertigo
473nuke
195train
92lake
75cbble
69dust

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

Faceit stats

Combat

305Matches
48%Win rate
1.22Avg K/D
89.8ADR
47%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient6853%1.4018.7
Mirage6340%1.0015.8
Anubis5444%1.2419.3
Vertigo3462%1.4419.4
Dust21844%1.5018.6
Overpass1060%1.1518.4
Train540%1.3120.6
Nuke50%0.9416.2

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.

24.7%Headshot accuracy
36.7%Accuracy (enemy spotted)
36.5%Spray accuracy
89.7%Counter-strafing
9.6°Preaim
592msReaction time
50.7%T opening success
43.5%CT opening success
0.43Enemies flashed / flash
3.6%Flash assists
7.83HE damage / grenade
6.80Flashes / 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. 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 0.4322 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–8-0.0519%4 Sept →
mirage13–4-0.0036%1 Sept →
ancient8–130.0426%1 Sept →
ancient9–130.0031%1 Sept →
dust213–11-0.0236%1 Sept →
dust213–30.0330%31 Aug →
inferno7–13-0.0128%31 Aug →
dust213–90.0919%29 Aug →
mirage13–10-0.0035%28 Aug →
inferno11–130.0032%28 Aug →
inferno4–13-0.0021%28 Aug →
ancient6–00.0150%28 Aug →
dust29–13-0.0713%28 Aug →
mirage13–16-0.0314%28 Aug →
inferno7–130.0324%28 Aug →
dust213–7-0.0323%28 Aug →
nuke5–13-0.0423%28 Aug →
nuke7–13-0.0229%26 Aug →
ancient6–130.0022%26 Aug →
mirage8–13-0.0627%25 Aug →
ancient13–7-0.0310%25 Aug →
mirage7–13-0.0325%25 Aug →
cache13–100.0015%25 Aug →
ancient13–6-0.0514%22 Aug →
mirage2–130.0243%22 Aug →
anubis13–7-0.0329%22 Aug →
mirage13–60.0124%22 Aug →
anubis13–40.0419%18 Aug →
mirage7–13-0.0824%18 Aug →
ancient9–13-0.0224%17 Aug →
cache6–13-0.1019%17 Aug →
cache3–13-0.0613%14 Aug →
anubis13–20.0416%14 Aug →
anubis13–5-0.0110%14 Aug →
ancient7–13-0.067%14 Aug →
ancient3–130.0224%14 Aug →
cache13–90.0129%13 Aug →
mirage9–130.0233%13 Aug →
mirage6–130.0144%13 Aug →
anubis16–14-0.0214%13 Aug →
ancient15–150.1020%7 Aug →
mirage9–130.0313%7 Aug →
ancient13–30.0022%7 Aug →
ancient8–13-0.0428%4 Aug →
cache13–8-0.0426%4 Aug →
mirage2–13-0.0740%17 May →
overpass8–13-0.1119%13 May →
nuke13–8-0.0032%13 May →
mirage11–13-0.0416%9 May →
cache13–90.0623%9 May →
dust212–120.0432%9 May →
cache13–50.0818%9 May →
mirage6–10.0727%4 May →
ancient10–130.0114%4 May →
ancient1–130.0214%3 May →
anubis2–13-0.0218%3 May →
mirage13–80.0237%2 May →
ancient6–13-0.0612%1 May →
mirage14–16-0.0415%1 May →
cache12–12-0.0222%1 May →
dust27–130.0124%1 May →
cache10–130.1120%1 May →
cache4–50.0640%30 Apr →
cache7–130.0112%29 Apr →
cache12–120.0419%29 Apr →
mirage12–10.0735%25 Apr →
cache11–13-0.027%24 Apr →
train6–13-0.0515%24 Apr →
anubis16–140.009%18 Apr →
mirage8–130.0531%18 Apr →
mirage10–13-0.1117%17 Apr →
anubis5–40.1017%17 Apr →
ancient13–70.0326%17 Apr →
anubis13–30.0529%17 Apr →
anubis13–6-0.1024%16 Apr →
overpass2–7-0.0158%16 Apr →
ancient13–7-0.0211%16 Apr →
ancient13–10-0.0316%14 Apr →
nuke12–12-0.0324%14 Apr →
train2–13-0.0328%14 Apr →
overpass7–4-0.0618%14 Apr →
vertigo13–20.0929%13 Apr →
mirage13–9-0.0123%12 Apr →
mirage12–30.109%12 Apr →
overpass9–130.0427%11 Apr →
vertigo13–10-0.0221%11 Apr →
anubis10–130.0313%10 Apr →
ancient13–90.0117%10 Apr →
vertigo12–12-0.0717%10 Apr →
ancient13–00.0218%10 Apr →
anubis13–30.0326%10 Apr →
mirage13–30.0921%10 Apr →
dust212–120.0528%10 Apr →
mirage13–60.025%10 Apr →
anubis13–60.0117%6 Apr →
ancient16–140.0012%5 Apr →
anubis13–30.0223%3 Apr →
mirage12–120.0222%3 Apr →
anubis5–13-0.0810%3 Apr →
vertigo12–12-0.0236%3 Apr →

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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