eric

eric — CS2 Stats

76561198271828510[U:1:311562782]Steam profile ↗✓ No bans

931Tracked matches27%Win rate2022Tracked since
416Hours in CS
CSDB Rating4.5 DevelopingPositional Player
Premier CS Rating13,242Blue band · top ~37.7% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,242 +3,221 19 Apr – 17 Oct · 40 days played
10,02116,910peak 16,91019 Apr17 Oct
16,910Peak Premier in tracked matches
48Days played since 2026-04-19

Premier CS Rating

  • 3,668 below peak (16,910)
  • -1,758 over 30 days · declining
  • Next: Purple band at 15,000 — 1,758 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate43.5%42.0%44.4%meets
Shot accuracy8.7%9.6%11.9%3.2% short
Kill/death ratio0.520.981.030.51 short
Match win rate37.5%43.8%45.2%7.8% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGericPREMIER13,242 · Blue 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

Aim67
Positioning45
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateLWLWLLLWLW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −3.4pp headshot accuracy · +93ms reaction

Win rate up 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 678ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 644ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 598ms

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).

Aim6.7
Utility3.9
Positioning4.5
Opening Duels0.4
Clutch1.2

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

iM

Plays most like iM 90% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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. 617ms 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

Aim6.7
Positioning4.5
Utility3.9
Mechanics7.7
Opening Duels0.8
Win Impact0.0

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time623ms−80ms
first ⅓ avg 703ms → last ⅓ avg 623ms
Headshot accuracy16.9%+5.7%
first ⅓ avg 11.2% → last ⅓ avg 16.9%

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.

Personal bests

0.09Best match rating · 13–10 · inferno, 22 Aug →
60%Best headshot accuracy · 1–3 · ancient, 15 Sept →
438msFastest reaction time · 6–13 · mirage, 16 Aug →
13–2Biggest win · mirage, 27 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 60% over 25cacheWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB2813–1546%-0.03
nukeA2515–1060%-0.02
mirageB2110–1148%-0.03
cacheD91–811%-0.02
ancientD92–722%-0.05
dust2C52–340%-0.04
anubis—33–0100%-0.02

Across the last 100 tracked matches.

Lifetime stats

11,617Lifetime kills
0.52K/D
1,271Matches
37.5%Match win rate
43.5%Headshot % · Top 50% of Blue band
8.7%Shot accuracy
1,163MVPs
416Hours (in match)
1,185Bombs planted
133Bombs defused

Most-used weapons

Lifetime map wins

2,465inferno
1,964nuke
502vertigo
397dust2
390train
65cbble
49lake
5office

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

Faceit stats

Combat

66Matches
50%Win rate
0.59Avg K/D
54.4ADR
33%Headshot %

Clutches & streaks

26%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke1771%0.759.3
Mirage1450%0.6411.6
Inferno1070%0.526.8
Ancient425%0.528.8
Anubis333%0.466.7
Overpass10%0.386.0

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.

15.8%Headshot accuracy
33.3%Accuracy (enemy spotted)
39.3%Spray accuracy
84.8%Counter-strafing
9.9°Preaim
617msReaction time
32.6%T opening success
34.0%CT opening success
0.56Enemies flashed / flash
6.6%Flash assists
9.37HE damage / grenade
3.96Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.9612 — below the 4 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 32.6307% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0114%17 Oct →
nuke13–8-0.047%17 Oct →
dust27–13-0.0718%10 Oct →
mirage13–80.0417%10 Oct →
cache11–13-0.0216%10 Oct →
ancient4–13-0.1014%8 Oct →
cache11–13-0.0610%5 Oct →
nuke13–5-0.0214%5 Oct →
cache6–13-0.0317%4 Oct →
dust213–50.0115%4 Oct →
ancient11–13-0.048%4 Oct →
ancient8–13-0.0613%4 Oct →
inferno5–13-0.0520%30 Sept →
mirage7–13-0.0413%30 Sept →
dust25–13-0.0724%28 Sept →
mirage13–60.0421%27 Sept →
mirage1–13-0.049%27 Sept →
mirage13–20.0848%27 Sept →
ancient12–16-0.0411%27 Sept →
ancient10–13-0.089%24 Sept →
inferno13–9-0.0036%23 Sept →
nuke9–13-0.0719%22 Sept →
inferno9–13-0.0522%22 Sept →
nuke10–13-0.077%21 Sept →
anubis13–8-0.018%18 Sept →
inferno9–13-0.0615%18 Sept →
mirage7–13-0.114%17 Sept →
inferno3–130.017%16 Sept →
nuke5–130.0020%16 Sept →
ancient1–3-0.0160%15 Sept →
mirage5–13-0.0217%15 Sept →
mirage13–7-0.0410%14 Sept →
inferno7–13-0.0111%14 Sept →
inferno9–70.0328%14 Sept →
dust23–13-0.0416%14 Sept →
inferno10–13-0.0211%13 Sept →
inferno5–13-0.103%13 Sept →
mirage10–13-0.0213%13 Sept →
inferno13–11-0.0528%11 Sept →
mirage13–6-0.0615%8 Sept →
nuke8–13-0.028%6 Sept →
nuke13–60.0410%31 Aug →
nuke13–11-0.049%31 Aug →
nuke13–40.0712%31 Aug →
inferno13–16-0.052%30 Aug →
ancient10–13-0.0412%27 Aug →
inferno13–11-0.0412%27 Aug →
inferno11–13-0.068%27 Aug →
mirage13–10-0.0314%27 Aug →
mirage5–13-0.0713%27 Aug →
ancient13–10-0.058%27 Aug →
inferno5–13-0.0935%25 Aug →
anubis13–10-0.067%24 Aug →
mirage4–13-0.0510%24 Aug →
inferno13–7-0.0215%24 Aug →
anubis13–90.019%23 Aug →
nuke13–11-0.037%23 Aug →
mirage4–13-0.0414%23 Aug →
inferno13–5-0.0613%23 Aug →
inferno13–100.0912%22 Aug →
inferno8–8-0.0116%22 Aug →
nuke10–13-0.0511%20 Aug →
mirage6–13-0.0614%16 Aug →
nuke13–16-0.0415%10 Aug →
inferno16–140.0217%5 Aug →
cache11–13-0.0619%5 Aug →
nuke9–13-0.0415%1 Aug →
inferno13–3-0.085%1 Aug →
nuke5–13-0.094%1 Aug →
mirage13–7-0.029%1 Aug →
inferno8–13-0.114%1 Aug →
mirage2–13-0.0518%1 Aug →
nuke13–6-0.0016%31 Jul →
mirage13–10-0.0514%31 Jul →
cache9–13-0.0412%30 Jul →
nuke13–4-0.0410%30 Jul →
cache13–4-0.0413%29 Jul →
inferno13–5-0.0016%29 Jul →
nuke15–15-0.017%29 Jul →
nuke13–6-0.0129%27 May →
cache11–13-0.056%26 May →
inferno13–9-0.042%26 May →
inferno5–13-0.0213%24 May →
nuke13–110.0114%10 May →
nuke13–20.018%10 May →
inferno13–90.015%7 May →
nuke13–3-0.0117%6 May →
mirage13–16-0.019%6 May →
cache10–130.0313%29 Apr →
cache12–120.0516%29 Apr →
mirage13–50.036%23 Apr →
inferno5–130.0010%23 Apr →
nuke13–70.026%22 Apr →
nuke13–11-0.0610%22 Apr →
nuke16–14-0.0214%21 Apr →
ancient13–6-0.029%21 Apr →
inferno13–80.0428%20 Apr →
inferno4–13-0.083%19 Apr →
dust213–9-0.018%19 Apr →
mirage13–11-0.1014%19 Apr →

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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