CaserPNW

CaserPNW — CS2 Stats

US76561198032166444[U:1:71900716]Steam profile ↗✓ No bans

478Tracked matches50%Win rate2025Tracked since
CSDB Rating2.4 LearningPositional Player
Premier CS Rating5,460Light Blue band · top ~76.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (47 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: 5,460 +712 31 Aug – 21 Sept · 3 days played
4,6265,460peak 5,46031 Aug21 Sept
5,460Peak Premier in tracked matches
34Days played since 2026-07-15

Premier CS Rating

  • At peak — 5,460
  • Next: Blue band at 10,000 — 4,540 to go
  • Reached: Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGCaserPNWPREMIER5,460 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim9
Positioning39
Utility37

0–100 skill scores via Leetify.

Recent form

COLD41–56–3Last 10041%Win rateLWWLLWLLTL

Last 10 vs previous 10: −20pp win rate · +0.03 avg rating · −1.5pp headshot accuracy · −67ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 656ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 660ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 693ms

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 (+1.4 against its own average).

Aim0.9
Utility3.7
Positioning3.9
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

Twistzz

Plays most like Twistzz 54% 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

CT openings. Opening success drops from 45% on T to 26% on CT — first contacts on the defending side are being lost.

Reaction time. 697ms 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

Aim0.9
Positioning3.9
Utility3.7
Mechanics2.4
Opening Duels1.9
Win Impact5.0

Composite 2.4/10 (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-0.06−0.00
first ⅓ avg -0.06 → last ⅓ avg -0.06
Reaction time694ms−41ms
first ⅓ avg 735ms → last ⅓ avg 694ms
Headshot accuracy12.1%+2.6%
first ⅓ avg 9.5% → last ⅓ avg 12.1%

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

0.07Best match rating · 13–6 · nuke, 17 Jul →
32%Best headshot accuracy · 5–13 · inferno, 3 Aug →
500msFastest reaction time · 13–11 · nuke, 31 Aug →
13–1Biggest win · mirage, 21 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

vertigoBest map · 80% over 5anubisWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
nukeC188–1044%-0.05
dust2C177–1041%-0.05
anubisD143–1121%-0.04
infernoD123–925%-0.05
mirageA106–460%-0.04
ancientB105–550%-0.05
cacheC83–538%-0.06
vertigoS54–180%-0.05
overpass—30–30%-0.08
train—32–167%-0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

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

12.1%Headshot accuracy
26.4%Accuracy (enemy spotted)
24.9%Spray accuracy
60.8%Counter-strafing
14.6°Preaim
697msReaction time
45.0%T opening success
25.8%CT opening success
0.53Enemies flashed / flash
1.7%Flash assists
4.35HE damage / grenade
4.14Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.5827° — above the 12° mark we flag

    Aim Training →
  2. 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 12.0623% — below the 15% mark we flag

    Aim Training →
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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0614%1 Nov →
vertigo6–00.0210%31 Oct →
ancient13–10-0.063%21 Oct →
anubis6–13-0.0311%21 Oct →
inferno10–13-0.0312%21 Oct →
mirage13–10.0110%21 Oct →
ancient5–13-0.0619%20 Oct →
overpass2–13-0.110%20 Oct →
anubis12–12-0.0213%20 Oct →
inferno8–13-0.077%16 Oct →
ancient13–7-0.0614%16 Oct →
anubis7–13-0.048%11 Oct →
nuke10–13-0.0812%11 Oct →
inferno13–5-0.0513%11 Oct →
ancient13–7-0.0111%11 Oct →
dust213–7-0.1218%11 Oct →
train13–2-0.0820%11 Oct →
nuke11–13-0.0710%27 Sept →
inferno12–12-0.084%27 Sept →
anubis3–13-0.124%27 Sept →
ancient13–11-0.0117%27 Sept →
dust22–13-0.1016%27 Sept →
nuke11–13-0.104%26 Sept →
ancient13–7-0.0713%22 Sept →
vertigo10–13-0.0513%22 Sept →
overpass5–13-0.0923%22 Sept →
nuke13–9-0.0913%21 Sept →
anubis13–6-0.0017%21 Sept →
nuke13–3-0.0619%21 Sept →
anubis13–9-0.0420%21 Sept →
anubis3–13-0.1023%16 Sept →
dust22–13-0.026%8 Sept →
nuke13–11-0.027%31 Aug →
mirage13–30.0519%30 Aug →
nuke6–13-0.114%30 Aug →
dust214–16-0.1010%30 Aug →
dust23–130.0119%30 Aug →
anubis10–130.0212%30 Aug →
dust213–7-0.0511%30 Aug →
overpass10–13-0.0413%29 Aug →
cache9–13-0.0814%29 Aug →
train8–13-0.0614%29 Aug →
anubis10–130.0310%27 Aug →
nuke13–16-0.049%27 Aug →
mirage13–10-0.055%18 Aug →
dust27–13-0.057%9 Aug →
mirage8–13-0.046%9 Aug →
inferno9–13-0.052%8 Aug →
nuke8–13-0.0410%8 Aug →
ancient3–13-0.0318%7 Aug →
nuke13–5-0.028%7 Aug →
dust213–90.0110%6 Aug →
nuke13–7-0.048%5 Aug →
dust23–130.0214%5 Aug →
mirage4–13-0.1118%4 Aug →
anubis6–13-0.003%4 Aug →
cache7–13-0.0813%3 Aug →
nuke0–7-0.1614%3 Aug →
mirage14–16-0.028%3 Aug →
inferno4–13-0.0529%3 Aug →
dust213–10-0.0412%3 Aug →
cache6–13-0.049%3 Aug →
inferno5–13-0.0632%3 Aug →
cache3–13-0.018%3 Aug →
mirage13–11-0.0911%3 Aug →
nuke13–30.0011%2 Aug →
nuke7–13-0.0116%1 Aug →
dust213–5-0.0417%1 Aug →
nuke11–13-0.109%31 Jul →
vertigo13–7-0.0511%31 Jul →
inferno13–5-0.028%31 Jul →
anubis3–13-0.0510%30 Jul →
inferno3–13-0.0811%30 Jul →
cache13–7-0.095%30 Jul →
dust211–13-0.0715%30 Jul →
dust213–11-0.089%27 Jul →
dust20–4-0.060%27 Jul →
anubis4–13-0.1018%26 Jul →
train13–10-0.1012%26 Jul →
nuke12–3-0.028%26 Jul →
vertigo13–7-0.1014%26 Jul →
ancient7–13-0.079%26 Jul →
dust27–13-0.0816%26 Jul →
cache1–13-0.077%26 Jul →
inferno8–13-0.0515%26 Jul →
nuke9–13-0.102%26 Jul →
anubis13–6-0.0714%26 Jul →
dust212–12-0.083%26 Jul →
inferno1–5-0.0417%26 Jul →
inferno13–40.005%25 Jul →
cache13–11-0.0510%19 Jul →
mirage13–100.0111%19 Jul →
ancient5–13-0.116%17 Jul →
anubis8–13-0.037%17 Jul →
nuke13–60.078%17 Jul →
ancient2–13-0.0510%17 Jul →
cache13–10-0.044%17 Jul →
dust213–7-0.0210%17 Jul →
mirage13–9-0.0811%17 Jul →
vertigo13–3-0.077%15 Jul →

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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