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2+2=8™

2+2=8™ — CS2 Stats

MY76561198060978655[U:1:100712927]Steam profile ↗✓ No bans

1,497Tracked matches34%Win rate2021Tracked since
2,495Hours in CS13Hrs last 2 wks
CSDB Rating3.9 Learning
Premier CS Rating16,557Purple band · top ~22.2% of ranked players (population est.)
CSDB Leaderboard#15947 of 27734 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 rate34.8%42.1%42.5%7.7% short
Shot accuracy13.8%12.1%10.9%above
Kill/death ratio1.100.990.99above
Match win rate44.6%43.9%44.2%meets

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. 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2+2=8™FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER16,557 · Purple bandcsdb.gg/stats

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Performance scores

Aim47
Positioning52
Utility30

0–100 skill scores via Leetify.

Recent form

COLD40–55–5Last 10040%Win rateLLLLLTLWLW

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

Aim4.7
Aggression7.3
Utility3.0
Positioning5.2
Opening Duels2.6

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 80% playstyle similarity

Most alike: opening-fight frequency, 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

T-side openings. Opening success drops from 48% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 645ms 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

Aim4.7
Positioning5.2
Utility3.0
Mechanics4.8
Opening Duels2.6
Win Impact0.0

Composite 3.9/10 (Learning), 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-0.02−0.05
first ⅓ avg 0.03 → last ⅓ avg -0.02
Reaction time652ms−104ms
first ⅓ avg 756ms → last ⅓ avg 652ms
Headshot accuracy14.1%−0.9%
first ⅓ avg 15.0% → last ⅓ avg 14.1%

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

0.15Best rating — dust2 13–8
13–2Biggest win — dust2
7Longest win streak
L5Current streak
8–5In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 50% over 46nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B4623–2350%0.01
ancientC166–1038%-0.02
anubisC94–544%0.01
nukeD92–722%-0.03
overpassC94–544%-0.02
mirage—41–325%0.00
cache—30–30%-0.06
inferno—20–20%-0.04
train—20–20%0.03

Across the last 100 tracked matches.

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

Lifetime stats

77,863Lifetime kills
1.10K/D · Top 50% of Level 3 players
3,687Matches
44.6%Match win rate · Top 50% of Level 3 players
34.8%Headshot %
13.8%Shot accuracy · Top 50% of Level 3 players
9,011MVPs
1,482Hours (in match)
2,394Bombs planted
824Bombs defused

Most-used weapons

AWP17,300
AK-4714,339
M4A4 / M4A1-S9,001
MP94,071
P2000 / USP-S3,773
Galil AR3,592
Desert Eagle3,540
P903,509
MP73,381
Glock-183,324

Lifetime map wins

23,642dust2
2,063inferno
1,232vertigo
1,200nuke
835train
55dust
32office
30safehouse

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.

14.1%Headshot accuracy
31.7%Accuracy (enemy spotted)
33.8%Spray accuracy
71.5%Counter-strafing
9.5°Preaim
645msReaction time
32.6%T opening success
48.3%CT opening success
0.31Enemies flashed / flash
4.5%Flash assists
12.39HE damage / grenade
2.07Flashes / 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 14.1225% — 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 0.3104 — 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 32.6136% — below the 40% mark we flag

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.

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache1–13-0.089%25 Aug →
anubis7–13-0.0916%25 Aug →
nuke1–13-0.0913%25 Aug →
anubis13–160.0210%22 Aug →
dust210–13-0.0516%22 Aug →
cache15–15-0.0515%22 Aug →
dust210–130.0114%22 Aug →
dust213–9-0.0424%22 Aug →
ancient5–13-0.0714%22 Aug →
ancient13–4-0.0310%21 Aug →
nuke13–110.0119%21 Aug →
ancient5–13-0.0520%21 Aug →
dust216–120.0118%21 Aug →
nuke14–160.066%17 Jul →
dust27–13-0.025%17 Jul →
nuke13–9-0.0214%17 Jul →
cache6–13-0.0516%17 Jul →
dust213–11-0.0215%10 Jul →
dust213–90.0314%10 Jul →
mirage8–13-0.0513%8 Jul →
inferno9–13-0.0511%8 Jul →
dust213–50.0617%12 Jun →
dust213–7-0.0314%7 Jun →
anubis9–130.0314%7 Jun →
mirage10–13-0.0221%7 Jun →
overpass5–13-0.0226%7 Jun →
ancient7–13-0.044%24 May →
inferno10–13-0.039%30 Apr →
anubis3–13-0.0114%23 Mar →
dust216–140.0215%23 Mar →
dust213–3-0.0313%19 Mar →
dust213–8-0.0314%16 Mar →
ancient8–13-0.0613%16 Mar →
dust211–13-0.0316%16 Mar →
anubis7–130.0210%16 Mar →
overpass5–13-0.0521%16 Mar →
anubis13–30.047%14 Mar →
overpass13–10-0.0216%14 Mar →
ancient13–11-0.067%14 Mar →
dust216–14-0.028%14 Mar →
dust213–6-0.0516%14 Mar →
overpass13–3-0.0124%13 Mar →
nuke1–13-0.108%12 Mar →
ancient7–13-0.0112%12 Mar →
dust21–13-0.0210%12 Mar →
nuke1–13-0.0320%12 Mar →
anubis13–110.0412%10 Mar →
overpass5–13-0.0814%10 Mar →
dust213–8-0.034%10 Mar →
dust213–16-0.0013%2 Mar →
overpass13–10-0.0319%2 Mar →
dust213–11-0.0514%2 Mar →
ancient7–130.0316%2 Mar →
ancient8–130.0319%28 Feb →
dust24–13-0.0222%28 Feb →
nuke6–13-0.0613%28 Feb →
overpass8–13-0.0410%10 Feb →
dust210–13-0.0712%10 Feb →
ancient14–16-0.0414%8 Feb →
ancient1–13-0.0813%8 Feb →
anubis13–70.0211%5 Feb →
dust213–110.028%5 Feb →
anubis13–70.028%5 Feb →
ancient13–70.0717%5 Feb →
dust213–40.063%5 Feb →
dust213–2-0.0217%5 Feb →
dust213–20.1042%5 Feb →
nuke14–16-0.0214%4 Feb →
dust213–60.0523%4 Feb →
ancient13–30.0914%3 Feb →
dust29–130.0310%3 Feb →
ancient13–6-0.025%28 Jan →
dust215–15-0.017%28 Jan →
dust25–13-0.0227%28 Jan →
dust213–50.0514%26 Jan →
mirage15–150.0412%25 Jan →
dust29–130.0516%25 Jan →
dust28–130.0411%24 Jan →
dust27–130.0121%15 Jan →
dust213–160.0117%15 Jan →
dust26–130.0618%14 Jan →
ancient0–13-0.098%14 Jan →
train9–130.079%11 Jan →
train8–13-0.018%11 Jan →
mirage13–90.0419%11 Jan →
overpass13–40.0512%9 Jan →
dust213–100.0612%8 Jan →
overpass4–13-0.028%19 Dec →
nuke4–13-0.0320%19 Dec →
ancient13–80.0713%19 Dec →
dust211–130.0017%17 Dec →
dust25–130.0528%17 Dec →
dust21–13-0.049%17 Dec →
dust212–120.0916%17 Dec →
dust23–130.0620%16 Dec →
dust26–13-0.0119%16 Dec →
dust212–120.0519%15 Dec →
dust213–80.1518%14 Dec →
dust213–8-0.0112%14 Dec →
dust213–90.0718%14 Dec →

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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