P90 PRO

P90 PRO — CS2 Stats

NL76561198016018143[U:1:55752415]Steam profile ↗✓ No bans

1,430Tracked matches39%Win rate2020Tracked since
CSDB Rating3.8 LearningSupport
Premier CS Rating9,266Light Blue band · top ~58.4% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (24 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: 9,266 -5,618 4 Jun – 8 Sept · 16 days played
7,54014,884peak 14,8844 Jun8 Sept
14,884Peak Premier in tracked matches
42Days played since 2026-05-31

Premier CS Rating

  • 5,618 below peak (14,884)
  • +1,457 over 30 days · improving
  • -4,118 over 90 days
  • Next: Blue band at 10,000 — 734 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-02

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

Share this profile

CSDB.GGP90 PROFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER9,266 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim54
Positioning45
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY39–49–12Last 10039%Win rateWLWLLWLWWL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +3.5pp headshot accuracy · −24ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 608ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 582ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 594ms

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 (+0.9 against its own average).

Aim5.4
Utility4.8
Positioning4.5
Opening Duels2.3

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

NiKo

Plays most like NiKo 84% 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

Reaction time. 589ms 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

Aim5.4
Positioning4.5
Utility4.8
Mechanics4.7
Opening Duels1.6
Win Impact1.4

Composite 3.8/10 (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-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time576ms−88ms
first ⅓ avg 665ms → last ⅓ avg 576ms
Headshot accuracy11.0%+1.1%
first ⅓ avg 9.8% → last ⅓ avg 11.0%

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

0.18Best match rating · 13–1 · inferno, 24 Jul →
24%Best headshot accuracy · 3–13 · ancient, 8 Sept →
438msFastest reaction time · 6–13 · cache, 8 Sept →
13–1Biggest win · nuke, 25 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

ancientBest map · 60% over 5cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C5222–3042%-0.01
poseidonD133–1023%-0.06
infernoA95–456%0.01
anubisD82–625%0.00
cacheD51–420%-0.01
ancientA53–260%-0.03
nuke—42–250%0.02
mirage—20–20%-0.03
train—10–10%-0.03
vertigo—11–0100%-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

8Matches
38%Win rate
1.05Avg K/D
—ADR
30%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

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.

11.8%Headshot accuracy
28.1%Accuracy (enemy spotted)
52.4%Spray accuracy
71.1%Counter-strafing
10.6°Preaim
589msReaction time
33.0%T opening success
40.0%CT opening success
0.68Enemies flashed / flash
4.8%Flash assists
8.81HE damage / grenade
3.53Flashes / 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. 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 11.79% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.5319 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 33.0412% — below the 40% mark we flag

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–110.049%15 Sept →
dust27–13-0.0216%12 Sept →
dust213–8-0.0511%12 Sept →
cache6–13-0.068%8 Sept →
ancient3–13-0.0424%8 Sept →
dust213–40.0515%8 Sept →
anubis8–13-0.0317%8 Sept →
ancient13–4-0.008%8 Sept →
dust213–90.057%7 Sept →
dust28–13-0.0718%7 Sept →
dust213–7-0.027%7 Sept →
dust213–8-0.0015%7 Sept →
dust212–12-0.0112%28 Aug →
dust210–13-0.0710%27 Aug →
poseidon6–9-0.033%27 Aug →
ancient13–2-0.024%25 Aug →
nuke13–10.037%25 Aug →
dust29–13-0.0914%21 Aug →
dust25–13-0.0717%20 Aug →
poseidon9–60.129%20 Aug →
poseidon6–9-0.090%20 Aug →
inferno7–90.018%19 Aug →
dust29–13-0.054%18 Aug →
anubis8–13-0.039%18 Aug →
dust26–130.0215%14 Aug →
dust29–130.0323%14 Aug →
poseidon9–6-0.0318%14 Aug →
anubis5–130.0113%13 Aug →
dust213–8-0.0112%13 Aug →
poseidon8–80.018%13 Aug →
poseidon4–9-0.114%13 Aug →
train9–13-0.0311%13 Aug →
dust210–13-0.037%11 Aug →
cache13–10-0.0314%11 Aug →
dust28–13-0.0011%11 Aug →
dust212–12-0.049%6 Aug →
anubis7–130.098%6 Aug →
dust213–11-0.0415%6 Aug →
dust211–13-0.049%4 Aug →
anubis13–60.016%4 Aug →
dust213–110.0514%4 Aug →
dust213–80.0311%4 Aug →
dust215–150.057%1 Aug →
nuke8–130.024%1 Aug →
cache15–150.0813%30 Jul →
dust29–130.058%30 Jul →
dust211–13-0.075%30 Jul →
inferno13–50.0811%28 Jul →
poseidon4–9-0.146%24 Jul →
inferno7–13-0.0610%24 Jul →
dust28–13-0.019%24 Jul →
inferno13–10.1811%24 Jul →
nuke15–150.0412%24 Jul →
inferno9–60.0320%21 Jul →
anubis10–13-0.049%18 Jul →
ancient3–13-0.046%18 Jul →
dust29–130.009%18 Jul →
anubis7–13-0.036%18 Jul →
inferno13–8-0.044%18 Jul →
dust213–10-0.0710%17 Jul →
poseidon2–9-0.199%17 Jul →
inferno9–5-0.047%17 Jul →
nuke13–3-0.0215%17 Jul →
dust213–8-0.0114%14 Jul →
dust213–110.006%14 Jul →
dust211–13-0.028%14 Jul →
ancient13–10-0.049%14 Jul →
cache11–13-0.0110%11 Jul →
dust213–100.036%11 Jul →
dust28–13-0.017%10 Jul →
cache6–13-0.0110%10 Jul →
dust215–15-0.0013%10 Jul →
poseidon8–80.0611%9 Jul →
poseidon5–9-0.075%9 Jul →
dust25–13-0.068%8 Jul →
dust25–130.1016%7 Jul →
dust213–80.0110%7 Jul →
dust213–4-0.047%7 Jul →
inferno2–9-0.139%4 Jul →
dust212–120.0211%3 Jul →
dust211–13-0.0312%3 Jul →
poseidon6–9-0.1311%3 Jul →
poseidon9–5-0.049%3 Jul →
dust213–5-0.0511%30 Jun →
dust213–80.046%30 Jun →
dust27–13-0.0316%30 Jun →
dust213–11-0.0811%23 Jun →
anubis13–60.048%23 Jun →
dust213–11-0.0411%23 Jun →
dust212–12-0.0513%18 Jun →
dust210–13-0.087%17 Jun →
dust212–12-0.0614%16 Jun →
dust213–100.0318%16 Jun →
poseidon8–8-0.1010%14 Jun →
mirage8–13-0.026%9 Jun →
dust211–13-0.039%9 Jun →
inferno8–130.026%7 Jun →
vertigo13–11-0.025%6 Jun →
mirage9–13-0.046%4 Jun →
dust213–2-0.0112%31 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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