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chips — CS2 Stats

US76561198844859489[U:1:884593761]Steam profile ↗✓ No bans

3,230Tracked matches53%Win rate2022Tracked since
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating9,228Light Blue band · top ~58.6% of ranked players (population est.)
CSDB Leaderboard#188927 of 258678 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (16 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: 9,228 +466 13 Sept – 14 Oct · 17 days played
6,2499,558peak 9,55813 Sept14 Oct
9,869Peak Premier in tracked matches
19Days played since 2026-09-13

Premier CS Rating

  • 330 below peak (9,558)
  • +466 over 30 days · improving
  • Next: Blue band at 10,000 — 772 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-13

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

Share this profile

CSDB.GGchipsFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER9,228 · Light Blue bandcsdb.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

Aim67
Positioning58
Utility26

0–100 skill scores via Leetify.

Recent form

HOT46–48–6Last 10046%Win rateWWWWLLWWWL

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · +0.4pp headshot accuracy · −66ms reaction

Win rate up 30pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 580ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 588ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 621ms

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 (+2.8 against its own average).

Aim6.7
Utility2.6
Positioning5.8
Opening Duels3.6
Clutch0.0

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

donk

Plays most like donk 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Strengths

T openings. 71% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 71% on T to 37% on CT — first contacts on the defending side are being lost.

Reaction time. 621ms 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

Aim6.7
Positioning5.8
Utility2.6
Mechanics6.7
Opening Duels5.9
Win Impact6.1

Composite 5.2/10 (Developing), 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-0.00+0.03
first ⅓ avg -0.03 → last ⅓ avg -0.00
Reaction time617ms−13ms
first ⅓ avg 630ms → last ⅓ avg 617ms
Headshot accuracy11.5%+0.3%
first ⅓ avg 11.2% → last ⅓ avg 11.5%

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

0.29Best match rating · 9–1 · eldorado, 3 Oct →
27%Best headshot accuracy · 5–13 · mirage, 28 Sept →
438msFastest reaction time · 13–5 · anubis, 6 Oct →
13–1Biggest win · inferno, 14 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
8–4In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 78% over 9nukeWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoC188–1044%0.00
dust2C146–843%-0.03
ancientC146–843%0.00
nukeC114–736%0.01
mirageB105–550%-0.02
anubisS97–278%-0.01
cacheC94–544%-0.01
vertigoA74–357%-0.03
train—20–20%-0.05
overpass—20–20%-0.06
eldorado—11–0100%0.29
debris—11–0100%0.07
poseidon—10–10%-0.10
rush_001—10–10%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7Matches
0%Win rate
0.45Avg K/D
52.1ADR
30%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient20%0.224.0
Vertigo10%0.142.0
Rio de Janeiro10%0.6111.0
Overpass10%0.7110.0
Mirage10%0.7311.0
Dust210%0.539.0

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
42.2%Accuracy (enemy spotted)
45.8%Spray accuracy
80.3%Counter-strafing
13.1°Preaim
621msReaction time
71.3%T opening success
37.1%CT opening success
0.28Enemies flashed / flash
2.5%Flash assists
9.26HE damage / grenade
1.64Flashes / 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 13.1097° — 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 11.8007% — below the 15% mark we flag

    Aim Training →
  3. 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 0.285 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–7-0.0411%23 Oct →
dust213–8-0.053%23 Oct →
vertigo13–10-0.0312%23 Oct →
inferno13–60.0325%23 Oct →
nuke10–130.0415%14 Oct →
cache9–130.0112%14 Oct →
inferno13–10.097%14 Oct →
inferno16–140.1112%14 Oct →
inferno13–10-0.0615%11 Oct →
dust27–13-0.0213%11 Oct →
train2–13-0.029%11 Oct →
nuke7–13-0.0119%11 Oct →
cache4–13-0.0612%10 Oct →
ancient9–13-0.0111%9 Oct →
anubis13–8-0.047%9 Oct →
nuke13–50.1014%9 Oct →
inferno13–11-0.049%9 Oct →
ancient13–100.0311%9 Oct →
mirage11–13-0.0610%8 Oct →
dust210–13-0.0817%8 Oct →
cache16–13-0.0515%8 Oct →
ancient9–130.004%8 Oct →
mirage5–13-0.087%7 Oct →
dust28–130.0414%7 Oct →
cache13–40.0913%7 Oct →
anubis13–100.0010%7 Oct →
vertigo13–90.1014%7 Oct →
anubis13–40.0117%7 Oct →
inferno14–16-0.0311%7 Oct →
ancient9–13-0.086%7 Oct →
mirage6–13-0.067%6 Oct →
nuke13–60.0512%6 Oct →
cache11–13-0.048%6 Oct →
mirage13–80.0210%6 Oct →
mirage13–3-0.015%6 Oct →
anubis13–50.0111%6 Oct →
nuke9–130.0611%6 Oct →
nuke5–130.0220%6 Oct →
vertigo3–9-0.1812%6 Oct →
cache15–15-0.0617%5 Oct →
ancient13–11-0.029%5 Oct →
inferno10–130.0110%5 Oct →
dust213–11-0.0517%5 Oct →
vertigo8–8-0.0511%4 Oct →
inferno3–9-0.0922%3 Oct →
inferno6–90.0314%3 Oct →
eldorado9–10.296%3 Oct →
ancient13–100.0013%3 Oct →
mirage13–20.0317%3 Oct →
ancient9–13-0.0114%2 Oct →
inferno6–13-0.0116%2 Oct →
dust23–13-0.0316%1 Oct →
ancient13–110.0311%1 Oct →
mirage16–13-0.0112%1 Oct →
anubis13–110.028%1 Oct →
ancient13–90.049%1 Oct →
dust210–13-0.0112%1 Oct →
ancient8–130.016%1 Oct →
mirage13–80.0013%1 Oct →
vertigo12–12-0.0112%1 Oct →
inferno6–13-0.028%1 Oct →
inferno12–160.0712%30 Sept →
inferno7–130.0713%30 Sept →
inferno13–11-0.0217%30 Sept →
anubis13–9-0.019%30 Sept →
nuke13–80.038%30 Sept →
debris9–60.0716%30 Sept →
overpass4–9-0.1013%30 Sept →
poseidon8–8-0.1022%30 Sept →
vertigo9–20.0110%30 Sept →
nuke13–90.0110%29 Sept →
anubis11–13-0.0116%29 Sept →
nuke3–13-0.060%29 Sept →
dust29–13-0.0318%29 Sept →
dust213–4-0.0410%29 Sept →
cache13–20.068%29 Sept →
dust212–12-0.037%28 Sept →
mirage5–130.0327%28 Sept →
cache6–13-0.028%28 Sept →
ancient10–130.037%28 Sept →
ancient13–70.0212%28 Sept →
overpass6–13-0.0210%28 Sept →
vertigo13–7-0.050%28 Sept →
nuke4–13-0.063%28 Sept →
mirage2–13-0.0911%28 Sept →
dust213–10-0.0413%28 Sept →
anubis2–13-0.0310%28 Sept →
cache13–9-0.0514%28 Sept →
ancient7–130.039%28 Sept →
dust23–13-0.0820%28 Sept →
nuke12–12-0.055%28 Sept →
inferno2–13-0.059%28 Sept →
inferno13–70.0611%28 Sept →
dust213–7-0.0111%27 Sept →
train6–13-0.0812%27 Sept →
ancient5–13-0.028%27 Sept →
inferno1–13-0.1024%26 Sept →
rush_0011–5-0.068%26 Sept →
dust213–11-0.078%23 Sept →
inferno13–6-0.0018%23 Sept →

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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