780

780 — CS2 Stats

MN76561198985491226[U:1:1025225498]Steam profile ↗✓ No bans

220Tracked matches41%Win rate2022Tracked since
379Hours in CS
CSDB Rating4.6 DevelopingPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 4,872 +229 22 Oct – 25 Nov · 8 days played
4,1894,930peak 4,93022 Oct25 Nov
4,930Peak Premier in tracked matches
35Days played since 2025-10-22

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

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), 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 rate39.4%41.8%42.7%3.3% short
Shot accuracy13.2%12.2%11.2%above
Kill/death ratio0.430.980.990.56 short
Match win rate39.6%43.3%43.9%4.3% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GG780FACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning54
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLLLLTWWWLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −0.5pp headshot accuracy · −34ms 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 545ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 545ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 561ms

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).

Aim6.6
Utility1.8
Positioning5.4
Opening Duels3.0

Strong CT-side openerLimited 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 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

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

T-side openings. Opening success drops from 51% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 570ms 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

Aim6.6
Positioning5.4
Utility1.8
Mechanics5.2
Opening Duels2.7
Win Impact2.1

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time583ms−33ms
first ⅓ avg 617ms → last ⅓ avg 583ms
Headshot accuracy18.7%+3.6%
first ⅓ avg 15.1% → last ⅓ avg 18.7%

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

0.17Best match rating · 13–3 · mirage, 22 Oct →
33%Best headshot accuracy · 9–13 · vertigo, 8 Jun →
398msFastest reaction time · 11–13 · nuke, 26 May →
13–0Biggest win · mirage, 20 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
3–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

vertigoBest map · 70% over 10trainWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeC3013–1743%-0.01
dust2A148–657%0.03
mirageA138–562%0.03
vertigoS107–370%0.02
ancientC104–640%-0.00
trainD72–529%0.01
overpassS64–267%0.04
infernoA53–260%0.03
anubis—30–30%-0.02
cache—10–10%0.02
rooftop—11–0100%0.13

Across the last 100 tracked matches.

Lifetime stats

13,363Lifetime kills
0.43K/D
903Matches
39.6%Match win rate
39.4%Headshot %
13.2%Shot accuracy · Top 50% of Level 3 players
1,377MVPs
379Hours (in match)
618Bombs planted
216Bombs defused

Most-used weapons

Lifetime map wins

2,548nuke
613vertigo
505inferno
502dust2
185train
20cbble
14italy
13lake

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

Faceit stats

Combat

6Matches
50%Win rate
0.73Avg K/D
—ADR
32%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLL

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.

18.3%Headshot accuracy
35.5%Accuracy (enemy spotted)
36.6%Spray accuracy
73.3%Counter-strafing
10.4°Preaim
570msReaction time
30.5%T opening success
51.1%CT opening success
0.40Enemies flashed / flash
1.3%Flash assists
5.84HE damage / grenade
2.73Flashes / 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. 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 0.3985 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 30.5144% — below the 40% mark we flag

Spend your practice time on Train

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke7–130.0316%26 Sept →
nuke10–13-0.0616%26 Sept →
nuke7–13-0.0524%25 Sept →
nuke4–13-0.0619%25 Sept →
nuke12–12-0.0014%25 Sept →
nuke13–50.0122%18 Sept →
nuke13–90.0010%18 Sept →
nuke13–110.0026%18 Sept →
nuke0–13-0.1422%23 Jun →
nuke13–60.0216%15 Jun →
nuke4–11-0.1925%15 Jun →
nuke7–13-0.0015%12 Jun →
nuke13–60.0523%12 Jun →
vertigo13–50.0412%9 Jun →
vertigo9–130.0033%8 Jun →
nuke5–13-0.0230%3 Jun →
nuke7–13-0.0516%29 May →
nuke13–60.0813%29 May →
nuke2–13-0.0710%27 May →
nuke13–100.0214%27 May →
nuke13–30.0421%26 May →
nuke11–13-0.0212%26 May →
cache6–130.029%2 May →
nuke4–100.0625%9 Dec →
train13–11-0.0213%29 Nov →
ancient13–2-0.0211%29 Nov →
dust20–13-0.0833%29 Nov →
nuke6–11-0.0221%28 Nov →
train13–30.0629%28 Nov →
ancient10–13-0.0118%28 Nov →
vertigo11–130.0621%28 Nov →
inferno5–130.0813%28 Nov →
dust210–13-0.0216%26 Nov →
inferno13–9-0.0319%25 Nov →
vertigo13–5-0.0312%25 Nov →
dust215–15-0.0218%25 Nov →
rooftop9–30.1323%25 Nov →
nuke4–13-0.0817%25 Nov →
nuke9–130.0023%25 Nov →
anubis7–13-0.0115%24 Nov →
train4–130.0220%24 Nov →
mirage5–130.0010%23 Nov →
vertigo13–50.0813%23 Nov →
overpass12–120.1115%23 Nov →
dust213–90.0520%23 Nov →
nuke13–8-0.097%23 Nov →
nuke13–70.1218%20 Nov →
ancient1–6-0.0218%20 Nov →
mirage13–00.1423%20 Nov →
train5–13-0.0020%20 Nov →
vertigo13–8-0.019%20 Nov →
overpass13–80.0333%20 Nov →
train11–130.0411%20 Nov →
anubis12–12-0.0218%18 Nov →
dust27–130.0119%18 Nov →
ancient2–13-0.018%18 Nov →
dust213–50.0720%18 Nov →
mirage1–13-0.0625%18 Nov →
nuke13–50.0426%18 Nov →
dust213–00.1019%18 Nov →
overpass13–70.0815%17 Nov →
ancient1–13-0.0713%17 Nov →
dust213–20.1627%17 Nov →
nuke13–10-0.0210%17 Nov →
mirage5–130.0217%17 Nov →
ancient13–70.027%13 Nov →
nuke13–11-0.0025%13 Nov →
dust213–70.1424%9 Nov →
vertigo13–80.0713%8 Nov →
ancient11–130.019%8 Nov →
dust213–9-0.0122%8 Nov →
mirage13–70.0617%7 Nov →
mirage9–130.0714%7 Nov →
nuke8–130.0322%7 Nov →
overpass6–130.0024%3 Nov →
vertigo13–3-0.019%3 Nov →
ancient13–80.0912%3 Nov →
dust25–13-0.0417%3 Nov →
overpass13–8-0.0113%2 Nov →
mirage13–40.0313%2 Nov →
inferno1–13-0.0418%30 Oct →
anubis5–13-0.0418%30 Oct →
mirage13–8-0.0021%30 Oct →
dust213–50.0013%29 Oct →
train9–13-0.0017%27 Oct →
overpass13–90.029%27 Oct →
inferno13–50.0714%27 Oct →
dust213–4-0.0217%25 Oct →
mirage3–13-0.059%25 Oct →
train4–13-0.0518%23 Oct →
ancient6–13-0.0415%23 Oct →
vertigo13–4-0.0011%23 Oct →
vertigo8–130.0019%23 Oct →
mirage13–4-0.0616%23 Oct →
dust26–130.037%23 Oct →
mirage13–30.1718%22 Oct →
mirage13–50.0118%22 Oct →
ancient13–70.0211%22 Oct →
mirage13–10.046%22 Oct →
inferno13–20.0818%22 Oct →

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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