FourSwear

FourSwear — CS2 Stats

US76561199565819475[U:1:1605553747]Steam profile ↗✓ No bans

2,497Tracked matches46%Win rate2023Tracked since
2,381Hours in CS25Hrs last 2 wks
CSDB Rating4.7 DevelopingAggressive Rifler
Premier CS Rating5,217Light Blue band · top ~77.8% of ranked players (population est.)
CSDB Leaderboard#23232 of 30298 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 medianLevel 5 medianvs Level 5
Headshot rate31.1%42.5%44.2%13.1% short
Shot accuracy0.0%10.9%11.2%11.2% short
Kill/death ratio0.900.991.040.14 short
Match win rate44.0%44.2%45.3%1.3% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFourSwearFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER5,217 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim72
Positioning51
Utility19

0–100 skill scores via Leetify.

Recent form

COLD47512Last 10047%Win rateLLLTLLWLTL

Last 10 vs previous 10: -50pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.2
Aggression7.7
Utility1.9
Positioning5.1
Opening Duels4.0
Clutch0.0

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.

Your pro match

ropz

Plays most like ropz 84% playstyle similarity

Most alike: opening-fight frequency, 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 55% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 598ms 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

Aim7.2
Positioning5.1
Utility1.9
Mechanics6.8
Opening Duels4.0
Win Impact3.8

Composite 4.7/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time593ms−74ms
first ⅓ avg 667ms → last ⅓ avg 593ms
Headshot accuracy10.9%−1.1%
first ⅓ avg 12.0% → last ⅓ avg 10.9%

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.

Highlights

0.16Best rating — nuke 11–13
131Biggest win — dust2
4Longest win streak
L3Current streak
711In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 71% over 7infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B26121446%0.00
nukeC1981142%0.01
mirageS1812667%-0.01
ancientD124833%-0.00
infernoD92722%-0.02
anubisB84450%0.06
cacheS75271%0.01
train1010%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,561Lifetime kills
0.90K/D
2,772Matches
44.0%Match win rate
31.1%Headshot %
0.0%Shot accuracy
4,964MVPs
1,070Hours (in match)
2,909Bombs planted
605Bombs defused

Most-used weapons

Lifetime map wins

4,533nuke
4,243dust2
3,204inferno
2,733vertigo
887train
176office
28italy
1ar_shoots

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

Faceit stats

Combat

11Matches
27%Win rate
0.69Avg K/D
63.8ADR
23%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient425%0.6711.0
Mirage250%0.7010.5
Dust2250%0.9414.5
Inferno10%0.6111.0
Vertigo10%0.6210.0
Train10%0.459.0

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.

11.0%Headshot accuracy
41.1%Accuracy (enemy spotted)
39.5%Spray accuracy
80.4%Counter-strafing
9.7°Preaim
598msReaction time
36.4%T opening success
55.5%CT opening success
0.30Enemies flashed / flash
5.1%Flash assists
8.68HE damage / grenade
0.86Flashes / 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 11.0271% — below the 15% mark we flag

    Aim Training
  2. 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 0.2953 — below the 0.5 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 36.3777% — below the 40% mark we flag

Spend your practice time on Inferno

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient4–13-0.065%28 Aug
dust27–13-0.0211%28 Aug
dust210–130.0816%28 Aug
cache15–15-0.0115%28 Aug
dust210–13-0.0213%27 Aug
dust28–130.0314%26 Aug
cache13–70.011%26 Aug
dust211–130.0311%26 Aug
ancient15–150.036%26 Aug
mirage11–13-0.027%26 Aug
mirage13–60.0515%26 Aug
inferno2–130.025%26 Aug
dust213–100.047%26 Aug
nuke13–60.1512%26 Aug
dust213–70.0324%24 Aug
cache13–7-0.0510%24 Aug
inferno3–9-0.0612%24 Aug
mirage4–13-0.082%24 Aug
dust213–90.0019%24 Aug
anubis14–160.1010%24 Aug
nuke13–8-0.038%21 Aug
dust28–130.0411%19 Aug
nuke4–130.0211%19 Aug
ancient13–80.1114%19 Aug
dust26–13-0.1011%19 Aug
nuke13–110.027%19 Aug
ancient10–130.018%19 Aug
nuke6–13-0.0410%19 Aug
mirage13–80.0012%19 Aug
dust213–20.0822%19 Aug
anubis13–40.0917%19 Aug
mirage13–70.027%19 Aug
nuke6–13-0.038%15 Aug
mirage1–13-0.0113%15 Aug
anubis4–130.024%15 Aug
inferno2–13-0.0317%15 Aug
dust213–4-0.0014%15 Aug
inferno14–16-0.065%15 Aug
mirage2–13-0.057%15 Aug
nuke13–40.0410%15 Aug
ancient11–130.0210%15 Aug
cache9–130.059%13 Aug
anubis13–80.096%13 Aug
nuke13–160.018%13 Aug
dust22–130.0211%13 Aug
dust213–1-0.018%13 Aug
mirage16–140.0610%13 Aug
anubis6–130.0213%13 Aug
dust213–50.119%13 Aug
nuke13–70.0810%13 Aug
mirage13–3-0.077%13 Aug
nuke2–13-0.108%13 Aug
ancient13–7-0.045%7 Aug
dust23–13-0.0919%7 Aug
nuke7–13-0.0313%7 Aug
ancient13–7-0.059%7 Aug
ancient11–13-0.0310%7 Aug
inferno2–13-0.0613%7 Aug
mirage7–1-0.0817%7 Aug
dust213–110.019%7 Aug
mirage13–80.0711%7 Aug
inferno14–160.008%7 Aug
anubis13–50.0413%7 Aug
ancient13–80.0113%7 Aug
cache13–90.047%7 Aug
nuke5–13-0.0917%7 Aug
mirage3–13-0.0618%7 Aug
ancient5–13-0.0111%7 Aug
nuke5–13-0.055%7 Aug
cache13–110.0026%7 Aug
mirage13–3-0.0211%7 Aug
nuke13–80.1414%6 Aug
ancient11–13-0.045%5 Aug
dust213–9-0.097%5 Aug
dust28–13-0.055%3 Aug
mirage13–6-0.0012%3 Aug
inferno6–13-0.0826%2 Aug
mirage13–100.0622%2 Aug
mirage9–13-0.0417%2 Aug
dust23–13-0.0513%2 Aug
nuke9–13-0.019%2 Aug
ancient8–130.0218%2 Aug
cache13–110.0111%2 Aug
nuke13–11-0.035%2 Aug
mirage13–100.0510%13 Jun
dust213–60.0321%13 Jun
dust28–13-0.068%13 Jun
dust213–50.1212%13 Jun
inferno13–90.0313%13 Jun
nuke1–13-0.019%13 Jun
anubis4–13-0.0312%13 Jun
inferno13–30.095%13 Jun
dust213–9-0.0113%13 Jun
anubis13–90.1318%13 Jun
dust25–13-0.0122%13 Jun
mirage13–11-0.030%12 Jun
dust211–13-0.069%12 Jun
nuke13–3-0.0111%12 Jun
nuke11–130.1612%12 Jun
train11–13-0.027%12 Jun

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 →