PULLINSKI

PULLINSKI — CS2 Stats

76561198804507713[U:1:844241985]Steam profile ↗✓ No bans

2,104Tracked matches59%Win rate2020Tracked since
CSDB Rating3.9 LearningSupport
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 795 → 795
+3Tracked matches · now 2,104
+2.0ppWin rate · 56.7% → 58.6%

Rating over time

Faceit ELO: 795 +0 31 Aug – 23 Sept · 2 observations
795795peak 79531 Aug23 Sept
795Highest Faceit ELO seen on CSDB
42Days played since 2026-05-27

Faceit ELO

  • At peak — 795
  • 0 over 30 days · steady
  • Next: Level 4 at 901 — 106 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-08-31
  • Level 2 first seen 2026-08-31

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

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CSDB.GGPULLINSKI30 DAYS0 ELOPEAK ELO795csdb.gg/stats

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Performance scores

Aim45
Positioning44
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY43–50–7Last 10043%Win rateLTLWWWLLWW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +2.5pp headshot accuracy · −8ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 614ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 602ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 606ms

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 (+1.6 against its own average).

Aim4.5
Utility5.1
Positioning4.4
Opening Duels0.9
Clutch3.6

Strong CT-side opener

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 78% 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

Areas to improve

T-side openings. Opening success drops from 43% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 588ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim4.5
Positioning4.4
Utility5.1
Mechanics2.5
Opening Duels1.7
Win Impact7.9

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time585ms−90ms
first ⅓ avg 675ms → last ⅓ avg 585ms
Headshot accuracy16.0%+2.2%
first ⅓ avg 13.9% → last ⅓ avg 16.0%

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

0.14Best match rating · 13–0 · cache, 14 Jun →
43%Best headshot accuracy · 1–13 · dust2, 7 Jul →
422msFastest reaction time · 5–13 · cache, 24 Aug →
13–0Biggest win · mirage, 28 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–5In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 54% over 24ancientWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C2711–1641%-0.04
cacheB2413–1154%-0.03
infernoB158–753%-0.03
anubisC146–843%-0.03
ancientD112–918%-0.04
mirageD93–633%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,700Matches
49%Win rate
0.78Avg K/D
74.2ADR
33%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage16847%0.8112.4
Inferno12949%0.9012.6
Anubis12462%0.9514.9
Dust211750%0.9114.0
Ancient11645%0.8413.7
Nuke3560%1.0114.8
Vertigo3033%0.7413.4
Overpass2129%1.0013.2

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.

15.8%Headshot accuracy
32.5%Accuracy (enemy spotted)
32.2%Spray accuracy
61.1%Counter-strafing
9.7°Preaim
588msReaction time
23.9%T opening success
43.4%CT opening success
0.50Enemies flashed / flash
7.2%Flash assists
9.64HE damage / grenade
5.43Flashes / 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. 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 23.8998% — 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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis6–13-0.038%24 Sept →
mirage12–12-0.0516%24 Sept →
ancient5–13-0.0819%24 Sept →
dust213–30.0111%13 Sept →
anubis13–6-0.0322%13 Sept →
cache13–6-0.078%12 Sept →
mirage5–13-0.0813%4 Sept →
dust22–13-0.0540%4 Sept →
cache13–7-0.0517%2 Sept →
inferno13–30.0011%2 Sept →
dust24–13-0.0917%1 Sept →
ancient13–2-0.053%1 Sept →
anubis10–13-0.078%31 Aug →
mirage13–00.0513%28 Aug →
inferno13–9-0.0018%28 Aug →
anubis13–20.0821%28 Aug →
cache13–6-0.0314%28 Aug →
dust213–9-0.0411%25 Aug →
inferno13–2-0.0819%25 Aug →
dust24–13-0.0418%24 Aug →
mirage13–4-0.0314%24 Aug →
inferno13–100.0222%24 Aug →
cache5–13-0.0425%24 Aug →
ancient9–13-0.015%24 Aug →
dust213–7-0.0125%24 Aug →
anubis13–4-0.0124%24 Aug →
dust213–7-0.0311%23 Aug →
cache3–13-0.0339%23 Aug →
ancient10–13-0.059%23 Aug →
mirage9–13-0.0711%23 Aug →
inferno7–13-0.1014%19 Aug →
ancient11–13-0.0112%17 Aug →
dust26–13-0.0612%5 Aug →
anubis8–13-0.0413%5 Aug →
ancient2–5-0.0323%5 Aug →
cache13–10-0.0212%5 Aug →
dust25–13-0.0514%5 Aug →
anubis1–13-0.0910%5 Aug →
dust213–4-0.059%4 Aug →
cache9–13-0.038%4 Aug →
cache13–11-0.0318%2 Aug →
ancient9–0-0.070%2 Aug →
anubis5–13-0.0526%2 Aug →
ancient12–12-0.027%2 Aug →
dust213–110.0113%1 Aug →
dust24–13-0.0812%31 Jul →
cache11–13-0.0514%30 Jul →
mirage9–13-0.0913%30 Jul →
cache12–12-0.0517%30 Jul →
inferno13–7-0.019%30 Jul →
dust27–13-0.0216%30 Jul →
cache8–13-0.0213%29 Jul →
dust212–12-0.0210%29 Jul →
dust25–13-0.0824%25 Jul →
mirage13–10-0.0313%23 Jul →
ancient7–13-0.0611%23 Jul →
cache8–13-0.110%22 Jul →
anubis10–13-0.100%21 Jul →
mirage1–8-0.0518%21 Jul →
dust213–6-0.0427%21 Jul →
cache13–30.016%21 Jul →
inferno7–130.017%14 Jul →
dust27–13-0.0311%12 Jul →
dust29–13-0.0119%10 Jul →
ancient12–12-0.0410%10 Jul →
inferno8–130.0116%8 Jul →
dust23–13-0.098%8 Jul →
cache12–12-0.0314%7 Jul →
anubis13–2-0.079%7 Jul →
dust21–130.0343%7 Jul →
dust211–13-0.0510%6 Jul →
anubis3–13-0.056%29 Jun →
dust21–13-0.0519%29 Jun →
ancient2–13-0.074%29 Jun →
inferno8–13-0.0516%28 Jun →
cache13–10-0.062%24 Jun →
inferno13–5-0.079%24 Jun →
dust22–13-0.0316%24 Jun →
anubis13–5-0.029%24 Jun →
inferno12–12-0.0315%17 Jun →
anubis6–130.0013%14 Jun →
cache13–00.1427%14 Jun →
inferno13–11-0.0414%14 Jun →
cache11–13-0.0913%14 Jun →
dust213–11-0.0620%14 Jun →
cache11–13-0.0810%13 Jun →
anubis13–5-0.0017%12 Jun →
dust213–3-0.0010%11 Jun →
cache13–7-0.0115%11 Jun →
cache13–10-0.0112%11 Jun →
mirage8–13-0.0810%10 Jun →
cache13–10.0312%10 Jun →
inferno9–13-0.0414%10 Jun →
inferno13–80.017%10 Jun →
dust213–10-0.1010%10 Jun →
cache13–40.0611%4 Jun →
cache7–13-0.0611%31 May →
inferno10–13-0.0629%31 May →
dust213–5-0.0314%31 May →
cache13–6-0.0418%27 May →

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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