Pakas

Pakas — CS2 Stats

76561198272624673[U:1:312358945]Steam profile ↗✓ No bans

1,039Tracked matches44%Win rate2020Tracked since
2,070Hours in CS15Hrs last 2 wks
CSDB Rating3.2 LearningPositional Player
Premier CS Rating14,446Blue band · top ~31.3% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (yesterday). 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: 14,446 -1,727 1 May – 6 Oct · 11 days played
13,63416,438peak 16,4381 May6 Oct
16,908Peak Premier in tracked matches
877Highest Faceit ELO seen on CSDB
25Days played since 2024-06-16

Premier CS Rating

  • 1,992 below peak (16,438)
  • +258 over 90 days
  • Next: Purple band at 15,000 — 554 to go
  • Reached: 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. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches41——
Win rate41%——
K/D0.73——
Headshot %52%——

Measured 10 Sep 2026 → 7 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

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 rate40.5%41.8%42.7%2.2% short
Shot accuracy12.9%12.2%11.3%above
Kill/death ratio0.870.980.990.12 short
Match win rate37.0%43.3%43.9%6.9% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGPakasFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER14,446 · Blue bandPEAK ELO877csdb.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

Aim40
Positioning48
Utility21

0–100 skill scores via Leetify.

Recent form

COLD39–47–14Last 10039%Win rateLWLLWTLWTL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −4.5pp headshot accuracy · +40ms reaction

Win rate down 20pp 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 -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 631ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 631ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 611ms

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).

Aim4.0
Utility2.1
Positioning4.8
Opening Duels0.0

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

sh1ro

Plays most like sh1ro 76% 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. 586ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim4.0
Positioning4.8
Utility2.1
Mechanics3.3
Opening Duels0.6
Win Impact3.1

Composite 3.2/10 (Learning), 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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time586ms−53ms
first ⅓ avg 639ms → last ⅓ avg 586ms
Headshot accuracy17.1%−0.6%
first ⅓ avg 17.7% → last ⅓ avg 17.1%

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

0.19Best match rating · 9–3 · overpass, 31 Aug →
45%Best headshot accuracy · 13–5 · anubis, 20 Sept →
391msFastest reaction time · 4–9 · nuke, 31 Aug →
13–1Biggest win · nuke, 5 Jul →

Across the last 100 tracked matches.

Highlights

3Longest win streak
4–11In matches decided by ≤2 rounds
13Overtime games

Map breakdown

overpassBest map · 57% over 7ancientWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
nukeB1910–953%-0.04
cacheC176–1135%-0.02
ancientD175–1229%-0.02
anubisC135–838%-0.04
poseidonD72–529%-0.07
overpassA74–357%0.01
debrisD62–433%-0.03
vertigo—42–250%-0.06
dust2—30–30%-0.04
inferno—31–233%-0.08
mirage—11–0100%-0.01
eldorado—11–0100%-0.05
fachwerk—10–10%-0.02
shelter—10–10%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,925Lifetime kills
0.87K/D
4,100Matches
37.0%Match win rate
40.5%Headshot %
12.9%Shot accuracy · Top 50% of Level 3 players
9,507MVPs
1,144Hours (in match)
3,664Bombs planted
1,408Bombs defused

Most-used weapons

AK-478,829
AUG5,131
SG 5533,191
MP73,109
P902,782
AWP2,515

Lifetime map wins

5,419nuke
2,972dust2
2,357inferno
1,058train
1,052vertigo
676cbble
175safehouse
160office

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

Faceit stats

Combat

95Matches
52%Win rate
0.84Avg K/D
—ADR
45%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis771%0.9310.4
Nuke633%0.8614.0
Vertigo475%0.8315.0
Ancient333%0.9016.3

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.

16.5%Headshot accuracy
27.4%Accuracy (enemy spotted)
33.0%Spray accuracy
64.9%Counter-strafing
10.4°Preaim
586msReaction time
34.7%T opening success
27.8%CT opening success
0.20Enemies flashed / flash
3.6%Flash assists
5.88HE 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. 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 0.2029 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 34.7307% — below the 40% mark we flag

Spend your practice time on Ancient

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 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.049%6 Oct →
nuke13–2-0.0320%6 Oct →
anubis4–13-0.0915%6 Oct →
cache11–13-0.0514%6 Oct →
anubis16–14-0.0614%6 Oct →
anubis15–15-0.0120%6 Oct →
dust26–13-0.0312%6 Oct →
nuke13–7-0.0226%6 Oct →
ancient15–15-0.0710%5 Oct →
anubis9–13-0.0315%5 Oct →
cache16–120.0127%5 Oct →
anubis6–13-0.0712%5 Oct →
dust211–13-0.0420%5 Oct →
mirage13–5-0.0116%3 Oct →
ancient4–13-0.0014%3 Oct →
cache9–130.0420%3 Oct →
anubis3–13-0.098%20 Sept →
anubis13–5-0.0245%20 Sept →
nuke13–5-0.0023%20 Sept →
nuke13–8-0.0417%19 Sept →
nuke14–16-0.0416%19 Sept →
ancient13–5-0.0311%19 Sept →
ancient7–13-0.0612%19 Sept →
ancient13–16-0.0317%19 Sept →
poseidon9–00.1425%11 Sept →
vertigo9–6-0.0620%11 Sept →
poseidon8–8-0.1421%11 Sept →
nuke9–70.0915%11 Sept →
inferno8–80.0416%11 Sept →
debris3–9-0.1114%11 Sept →
overpass9–60.0113%11 Sept →
vertigo5–9-0.1422%8 Sept →
nuke8–8-0.133%8 Sept →
debris9–50.0428%8 Sept →
cache13–100.0313%6 Sept →
anubis7–13-0.0614%6 Sept →
cache15–15-0.0110%6 Sept →
vertigo8–8-0.1315%5 Sept →
poseidon9–6-0.064%5 Sept →
debris8–8-0.0618%5 Sept →
poseidon1–9-0.1533%5 Sept →
poseidon8–8-0.1523%5 Sept →
nuke7–9-0.1022%5 Sept →
inferno3–9-0.2215%31 Aug →
nuke1–9-0.2217%31 Aug →
overpass9–30.1932%31 Aug →
nuke4–9-0.1432%31 Aug →
debris9–40.1412%31 Aug →
poseidon5–9-0.0525%29 Aug →
debris7–9-0.0817%29 Aug →
debris4–9-0.1010%29 Aug →
poseidon7–9-0.0813%29 Aug →
nuke9–50.0012%29 Aug →
eldorado9–4-0.0532%28 Aug →
overpass6–9-0.0716%28 Aug →
nuke9–40.0722%28 Aug →
inferno9–4-0.0615%28 Aug →
cache4–13-0.0221%2 Aug →
anubis13–6-0.0214%2 Aug →
anubis13–9-0.0213%2 Aug →
anubis5–13-0.0313%2 Aug →
cache3–13-0.0414%2 Aug →
ancient13–100.0111%2 Aug →
ancient2–13-0.067%2 Aug →
cache13–11-0.0217%1 Aug →
ancient5–13-0.0229%1 Aug →
nuke13–10-0.0117%1 Aug →
fachwerk5–13-0.0235%26 Jul →
shelter7–13-0.0816%26 Jul →
anubis13–11-0.0115%25 Jul →
nuke13–7-0.0413%5 Jul →
overpass10–130.0320%5 Jul →
nuke13–10.0618%5 Jul →
ancient12–40.0428%5 Jul →
ancient11–13-0.0211%5 Jul →
nuke11–13-0.058%3 Jul →
ancient16–130.0420%3 Jul →
ancient5–13-0.0031%3 Jul →
nuke9–13-0.0511%22 May →
ancient15–15-0.0128%22 May →
cache11–13-0.049%9 May →
ancient15–15-0.019%9 May →
vertigo9–20.0825%9 May →
anubis12–16-0.0121%8 May →
cache11–13-0.0515%8 May →
cache13–50.0414%8 May →
ancient7–13-0.0616%8 May →
nuke9–13-0.0812%7 May →
ancient13–9-0.0025%7 May →
overpass16–12-0.0422%7 May →
overpass11–13-0.0115%2 May →
cache7–13-0.0812%2 May →
ancient10–13-0.0419%1 May →
overpass13–6-0.0511%1 May →
nuke15–15-0.0416%1 May →
cache12–120.0417%1 May →
cache12–12-0.0019%1 May →
cache6–13-0.1015%1 May →
cache7–0-0.0833%1 May →
cache13–40.007%29 Apr →

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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