eRic

eRic — CS2 Stats

US76561199036125970[U:1:1075860242]Steam profile ↗✓ No bans

633Tracked matches53%Win rate2020Tracked since
761Hours in CS
CSDB Rating4.2 DevelopingSupport
Premier CS Rating16,550Purple band · top ~22.2% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGeRicFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER16,550 · Purple bandcsdb.gg/stats

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Performance scores

Aim40
Positioning42
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY47–52–1Last 10047%Win rateWWLWWWLWLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +2.0pp headshot accuracy · +8ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 570ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 598ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 9%
  • Avg reaction 594ms

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: Support — Utility contribution stands above the rest of this profile (+2.8 against its own average).

Aim4.0
Utility5.5
Positioning4.2
Opening Duels0.0
Clutch1.0

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

iM

Plays most like iM 68% playstyle similarity

Most alike: utility contribution, 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

Reaction time. 599ms 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

Aim4.0
Positioning4.2
Utility5.5
Mechanics4.7
Opening Duels0.2
Win Impact6.1

Composite 4.2/10 (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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time596ms+14ms
first ⅓ avg 582ms → last ⅓ avg 596ms
Headshot accuracy10.8%−1.5%
first ⅓ avg 12.4% → last ⅓ avg 10.8%

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

0.12Best match rating · 13–3 · mirage, 21 May →
27%Best headshot accuracy · 7–13 · dust2, 23 Jun →
445msFastest reaction time · 13–10 · cache, 10 Jul →
13–2Biggest win · inferno, 29 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
6–11In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 65% over 17anubisWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB3016–1453%0.00
ancientS1711–665%-0.01
dust2C167–944%-0.00
cacheA159–660%0.01
anubisD91–811%-0.03
infernoD82–625%-0.01
nuke—31–233%-0.03
train—20–20%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,456Lifetime kills
1.39K/D
1,880Matches
48.7%Match win rate
56.4%Headshot %
12.2%Shot accuracy
1,900MVPs
761Hours (in match)
1,721Bombs planted
465Bombs defused

Most-used weapons

Lifetime map wins

2,289dust2
1,333nuke
577inferno
414vertigo
100lake
70train
23cbble
17office

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

Faceit stats

Combat

63Matches
44%Win rate
0.86Avg K/D
70.5ADR
35%Headshot %

Clutches & streaks

25%1v1 clutch win
25%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2933%0.8415.4
Mirage850%0.8111.3
Ancient367%0.8114.3
Inferno333%0.8612.0
Overpass1100%0.6813.0

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.

10.5%Headshot accuracy
31.9%Accuracy (enemy spotted)
33.4%Spray accuracy
71.1%Counter-strafing
11.4°Preaim
599msReaction time
25.4%T opening success
31.9%CT opening success
0.55Enemies flashed / flash
8.1%Flash assists
7.66HE damage / grenade
5.91Flashes / 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 10.4836% — below the 15% mark we flag

    Aim Training →
  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 25.4142% — below the 40% mark we flag

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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache16–130.0110%30 Sept →
dust213–7-0.0511%24 Aug →
cache10–13-0.038%24 Aug →
mirage13–4-0.0111%14 Aug →
ancient13–90.028%3 Aug →
mirage13–70.0810%3 Aug →
ancient14–16-0.0817%2 Aug →
ancient13–100.0410%2 Aug →
mirage11–130.0211%2 Aug →
mirage9–13-0.027%1 Aug →
mirage13–50.077%1 Aug →
ancient16–120.016%31 Jul →
mirage6–13-0.0517%30 Jul →
ancient13–110.027%30 Jul →
inferno13–20.054%29 Jul →
mirage8–13-0.018%29 Jul →
anubis10–130.008%29 Jul →
mirage13–8-0.024%27 Jul →
inferno11–13-0.009%27 Jul →
cache13–70.0013%27 Jul →
dust24–13-0.039%26 Jul →
mirage13–30.0412%26 Jul →
anubis9–13-0.0220%24 Jul →
mirage13–50.0717%24 Jul →
ancient13–90.038%24 Jul →
ancient11–130.008%22 Jul →
dust25–130.0114%20 Jul →
cache13–10-0.0411%20 Jul →
mirage8–13-0.018%19 Jul →
nuke7–13-0.0322%18 Jul →
mirage11–13-0.0211%18 Jul →
cache14–160.0615%18 Jul →
mirage14–16-0.0116%18 Jul →
anubis13–30.0310%18 Jul →
cache13–110.004%18 Jul →
ancient1–13-0.008%17 Jul →
cache7–13-0.0019%17 Jul →
dust28–13-0.0319%15 Jul →
ancient1–13-0.029%15 Jul →
mirage13–9-0.0014%15 Jul →
ancient13–10-0.104%15 Jul →
cache13–16-0.0114%15 Jul →
cache13–10-0.0810%14 Jul →
inferno6–13-0.078%14 Jul →
mirage5–13-0.1117%14 Jul →
dust213–10-0.0411%14 Jul →
ancient16–14-0.0313%14 Jul →
mirage2–13-0.0711%12 Jul →
mirage13–80.025%12 Jul →
dust28–13-0.0217%12 Jul →
cache8–13-0.0110%12 Jul →
cache13–40.0716%11 Jul →
dust213–9-0.0513%11 Jul →
dust25–13-0.0214%10 Jul →
cache13–100.0110%10 Jul →
ancient13–11-0.024%10 Jul →
mirage13–6-0.032%9 Jul →
anubis14–16-0.027%9 Jul →
cache13–80.0013%9 Jul →
mirage9–13-0.0416%30 Jun →
anubis8–13-0.110%29 Jun →
mirage7–13-0.0115%29 Jun →
dust213–80.017%29 Jun →
dust211–130.0015%29 Jun →
inferno13–16-0.0110%29 Jun →
dust213–60.0821%29 Jun →
mirage13–80.0415%26 Jun →
dust213–80.039%26 Jun →
nuke13–8-0.0112%26 Jun →
dust27–130.0114%25 Jun →
anubis11–13-0.0714%25 Jun →
inferno6–130.0113%25 Jun →
mirage7–13-0.0112%24 Jun →
anubis6–13-0.0410%24 Jun →
dust215–150.0012%24 Jun →
mirage13–8-0.0316%24 Jun →
inferno13–70.0117%23 Jun →
ancient10–130.0811%23 Jun →
ancient13–30.0118%23 Jun →
anubis8–13-0.0314%23 Jun →
dust27–130.0627%23 Jun →
train7–130.0310%23 Jun →
anubis11–13-0.069%22 Jun →
mirage16–14-0.0215%22 Jun →
nuke1–13-0.0613%22 Jun →
ancient16–14-0.0411%22 Jun →
mirage13–20.054%22 Jun →
inferno7–13-0.0313%22 Jun →
dust213–4-0.0214%22 Jun →
train6–13-0.055%20 Jun →
mirage7–13-0.0414%20 Jun →
ancient8–13-0.088%20 Jun →
inferno5–13-0.0512%11 Jun →
mirage13–5-0.0111%6 Jun →
ancient13–6-0.0313%22 May →
mirage13–7-0.0111%22 May →
mirage13–30.1213%21 May →
mirage13–160.0217%21 May →
cache13–30.077%21 May →
cache10–130.0613%20 May →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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