PULLINSKI

PULLINSKI — CS2 Stats

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

2,101Tracked matches57%Win rate2020Tracked since
CSDB Rating3.6 LearningSupport
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 795 → 795
+14Tracked matches · now 2,101
+6.7ppWin rate · 50.0% → 56.7%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 42 days played since 23 May 2026. Come back after the next session and the change shows above.

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Rating over time

795Highest Faceit ELO seen on CSDB
42Days played since 2026-05-23

Faceit ELO

  • At peak — 795
  • 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.GGPULLINSKIPEAK ELO795csdb.gg/stats

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Performance scores

Aim42
Positioning38
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY46486Last 10046%Win rateWWWLLWWLWL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −2.5pp headshot accuracy · +85ms 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

  • 32 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 624ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 638ms

Last 20

  • 146 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 595ms

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: SupportUtility contribution stands above the rest of this profile (+2.1 against its own average).

Aim4.2
Utility5.2
Positioning3.8
Opening Duels0.0
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

Twistzz

Plays most like Twistzz 73% 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

T-side openings. Opening success drops from 38% on CT to 16% 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 62% 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

Aim4.2
Positioning3.8
Utility5.2
Mechanics2.7
Opening Duels1.0
Win Impact7.2

Composite 3.6/10 (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−87ms
first ⅓ avg 672ms → last ⅓ avg 585ms
Headshot accuracy16.1%+3.2%
first ⅓ avg 13.0% → last ⅓ avg 16.1%

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

0.14Best 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
W3Current streak
45In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 56% over 25ancientWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C27111641%-0.04
cacheA25141156%-0.03
infernoA169756%-0.03
anubisB147750%-0.03
ancientD102820%-0.04
mirageC83538%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). 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.

15.6%Headshot accuracy
31.7%Accuracy (enemy spotted)
30.1%Spray accuracy
62.0%Counter-strafing
9.9°Preaim
588msReaction time
16.1%T opening success
38.1%CT opening success
0.62Enemies flashed / flash
6.6%Flash assists
9.78HE 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. 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 16.0659% — 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
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
inferno13–9-0.0215%27 May
cache13–8-0.0010%23 May
anubis13–100.0911%23 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 →