--::: SW | Viet_Cong :::--

--::: SW | Viet_Cong :::-- — CS2 Stats

DE76561199514282125[U:1:1554016397]Steam profile ↗✓ No bans

2,332Tracked matches28%Win rate2023Tracked since
3,620Hours in CS66Hrs last 2 wks
CSDB Rating1.9 LearningPositional Player
Premier CS Rating1,256Grey band · top ~94.7% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 1,256 → 1,256
+1Tracked matches · now 2,332
0.0ppWin rate · 27.6% → 27.6%

Rating over time

Premier CS Rating: 1,256 -1,183 4 Sept – 5 Oct · 25 days played
1,0002,439peak 2,4394 Sept5 Oct
2,439Peak Premier in tracked matches
25Days played since 2026-09-04

Premier CS Rating

  • 1,183 below peak (2,439)
  • -887 over 30 days · declining
  • Next: Light Blue band at 5,000 — 3,744 to go

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches118——
Win rate36%——
K/D0.74——
Headshot %37%——

Measured 11 Sep 2026 → 6 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,051), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate36.0%41.8%42.7%6.7% short
Shot accuracy1.8%12.2%11.3%9.5% short
Kill/death ratio0.720.980.990.27 short
Match win rate39.7%43.3%43.9%4.2% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG--::: SW | Viet_Cong :::--FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER1,256 · Grey 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

Aim8
Positioning48
Utility10

0–100 skill scores via Leetify.

Recent form

COLD32–65–3Last 10032%Win rateWLWLTLLLLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −1.8pp headshot accuracy · −152ms 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 742ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 8%
  • Avg reaction 670ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 746ms

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 against its own average).

Aim0.8
Utility1.0
Positioning4.8
Opening Duels2.5

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

m0NESY

Plays most like m0NESY 63% 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

Reaction time. 746ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim0.8
Positioning4.8
Utility1.0
Mechanics3.4
Opening Duels3.0
Win Impact0.0

Composite 1.9/10 (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+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time696ms−5ms
first ⅓ avg 701ms → last ⅓ avg 696ms
Headshot accuracy10.2%−1.6%
first ⅓ avg 11.8% → last ⅓ avg 10.2%

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

0.09Best match rating · 13–3 · inferno, 30 Sept →
29%Best headshot accuracy · 1–13 · mirage, 30 Sept →
500msFastest reaction time · 2–13 · inferno, 18 Sept →
13–0Biggest win · nuke, 29 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
3–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 56% over 18anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2D224–1818%-0.05
nukeD206–1430%-0.02
infernoA1810–856%-0.01
mirageD175–1229%-0.04
ancientC114–736%-0.05
anubisD61–517%-0.05
cacheD62–433%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,403Lifetime kills
0.72K/D
4,240Matches
39.7%Match win rate
36.0%Headshot %
1.8%Shot accuracy
6,780MVPs
1,701Hours (in match)
5,070Bombs planted
605Bombs defused

Most-used weapons

P9015,042
AK-4713,974
AWP4,710
MAC-102,593
MP91,881

Lifetime map wins

7,455inferno
7,285dust2
6,304nuke
2,705vertigo
496train
223office
35italy
21lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

10.1%Headshot accuracy
23.4%Accuracy (enemy spotted)
28.9%Spray accuracy
65.1%Counter-strafing
13.9°Preaim
746msReaction time
45.6%T opening success
38.6%CT opening success
0.19Enemies flashed / flash
2.9%Flash assists
6.26HE damage / grenade
0.19Flashes / 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 13.9404° — 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 10.0831% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 745.7332ms — above the 700ms 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–7-0.0615%5 Oct →
nuke11–130.0212%4 Oct →
inferno13–80.017%4 Oct →
mirage14–16-0.045%3 Oct →
ancient15–150.038%2 Oct →
dust29–13-0.039%2 Oct →
mirage2–13-0.036%2 Oct →
anubis10–13-0.058%2 Oct →
inferno2–130.000%2 Oct →
mirage3–13-0.0413%2 Oct →
nuke13–50.048%2 Oct →
dust211–13-0.0111%2 Oct →
ancient11–13-0.036%2 Oct →
mirage6–13-0.049%1 Oct →
dust24–13-0.0114%1 Oct →
dust24–13-0.138%1 Oct →
dust213–8-0.0010%1 Oct →
inferno13–10-0.049%1 Oct →
mirage13–5-0.0415%1 Oct →
nuke8–13-0.0211%1 Oct →
dust25–13-0.059%1 Oct →
nuke8–13-0.0610%1 Oct →
cache4–13-0.128%1 Oct →
dust28–130.000%1 Oct →
dust213–8-0.106%30 Sept →
inferno13–40.0511%30 Sept →
mirage10–13-0.0321%30 Sept →
nuke13–16-0.069%30 Sept →
mirage1–13-0.0429%30 Sept →
dust25–13-0.064%30 Sept →
inferno13–30.0915%30 Sept →
nuke13–9-0.0217%30 Sept →
dust211–13-0.0713%30 Sept →
inferno8–13-0.055%30 Sept →
anubis13–8-0.0515%30 Sept →
dust26–13-0.099%30 Sept →
cache3–13-0.089%29 Sept →
dust216–14-0.0313%29 Sept →
nuke13–00.0011%29 Sept →
dust27–13-0.0413%29 Sept →
dust27–13-0.0413%28 Sept →
cache13–10-0.1215%28 Sept →
mirage8–13-0.028%28 Sept →
dust210–13-0.0721%28 Sept →
nuke2–13-0.069%28 Sept →
anubis7–13-0.042%28 Sept →
cache15–150.0313%28 Sept →
mirage13–5-0.0320%27 Sept →
nuke14–160.0013%27 Sept →
anubis15–15-0.0617%27 Sept →
cache13–60.0514%26 Sept →
dust26–130.018%26 Sept →
mirage9–130.0012%26 Sept →
mirage10–13-0.079%25 Sept →
inferno10–13-0.0910%25 Sept →
ancient3–13-0.0910%25 Sept →
inferno10–13-0.0013%25 Sept →
mirage13–11-0.0111%25 Sept →
inferno16–14-0.0412%24 Sept →
inferno8–130.0114%24 Sept →
inferno13–160.0217%22 Sept →
dust29–13-0.0616%22 Sept →
mirage9–13-0.089%22 Sept →
ancient6–13-0.0815%21 Sept →
inferno13–50.0611%21 Sept →
ancient9–13-0.0511%21 Sept →
dust26–13-0.075%21 Sept →
ancient6–13-0.078%21 Sept →
nuke11–13-0.089%21 Sept →
ancient13–6-0.1012%20 Sept →
dust213–10-0.059%19 Sept →
inferno2–13-0.0614%18 Sept →
nuke13–100.0513%18 Sept →
ancient5–12-0.046%18 Sept →
anubis8–13-0.057%18 Sept →
mirage8–13-0.0610%18 Sept →
mirage13–5-0.0818%17 Sept →
inferno13–70.0014%17 Sept →
inferno13–9-0.0411%17 Sept →
nuke10–130.0112%17 Sept →
nuke14–16-0.0110%17 Sept →
dust24–13-0.0310%16 Sept →
inferno9–13-0.084%16 Sept →
cache7–13-0.0517%16 Sept →
mirage6–13-0.0310%16 Sept →
nuke13–3-0.0411%16 Sept →
inferno13–5-0.029%16 Sept →
nuke9–130.014%15 Sept →
dust25–130.0016%15 Sept →
dust23–13-0.0721%11 Sept →
nuke10–13-0.0715%10 Sept →
ancient13–7-0.0315%10 Sept →
inferno13–9-0.0013%6 Sept →
anubis5–13-0.0715%6 Sept →
nuke2–13-0.0610%6 Sept →
nuke3–13-0.049%5 Sept →
nuke3–13-0.0614%5 Sept →
ancient16–13-0.0214%4 Sept →
nuke13–90.0617%4 Sept →
mirage13–4-0.0312%4 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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