nicooo0712

nicooo0712 — CS2 Stats

BE76561198040394855[U:1:80129127]Steam profile ↗✓ No bans

1,893Tracked matches57%Win rate2020Tracked since
5,672Hours in CS11Hrs last 2 wks
CSDB Rating7.0 StrongPositional Player
CSDB Leaderboard#84928 of 259900 tracked
FaceitLevel 10 · 2,274 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,274 → 2,274
+7Tracked matches · now 1,893
0.0ppWin rate · 57.1% → 57.1%

Rating over time

Premier CS Rating: 19,999 +110 3 Jun – 24 Sept · 5 days played
19,88919,999peak 19,9993 Jun24 Sept
Faceit ELO: 2,274 +0 16 Sept – 24 Sept · 3 observations
2,2742,274peak 2,27416 Sept24 Sept
19,999Peak Premier in tracked matches
2,274Highest Faceit ELO seen on CSDB
76Days played since 2025-09-22

Faceit ELO

  • At peak — 2,274
  • Next: 2,500 ELO at 2,500 — 226 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-16
  • Level 9 first seen 2026-09-16

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate56.9%50.9%
Shot accuracy15.1%13.7%
Kill/death ratio0.781.09
Match win rate46.3%48.4%

Share this profile

CSDB.GGnicooo0712FACEITLevel 10 · 2,274 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,274csdb.gg/stats

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Performance scores

Aim84
Positioning67
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateLWLWWLWLLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +2.9pp headshot accuracy · −35ms reaction

Win rate −10pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 29%
  • Avg reaction 502ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 520ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 537ms

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 (+1.5 against its own average).

Aim8.4
Utility5.5
Positioning6.7
Opening Duels4.4
Clutch4.4

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

jL

Plays most like jL 96% playstyle similarity

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

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

Aim8.4
Positioning6.7
Utility5.5
Mechanics8.1
Opening Duels3.9
Win Impact7.4

Composite 7.0/10 (Strong), 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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time540ms−63ms
first ⅓ avg 603ms → last ⅓ avg 540ms
Headshot accuracy21.8%−1.4%
first ⅓ avg 23.2% → last ⅓ avg 21.8%

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

0.19Best match rating · 12–12 · overpass, 29 Nov →
44%Best headshot accuracy · 11–13 · mirage, 29 Oct →
367msFastest reaction time · 13–3 · dust2, 22 Oct →
13–1Biggest win · mirage, 12 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 69% over 13infernoWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2A2213–959%0.02
nukeA149–564%0.03
infernoD144–1029%-0.01
mirageS139–469%0.02
anubisB137–654%0.01
overpassD103–730%0.04
cacheC52–340%0.03
ancient—42–250%-0.02
train—31–233%0.03
office—11–0100%0.10
vertigo—11–0100%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

231,641Lifetime kills
0.78K/D
5,394Matches
46.3%Match win rate
56.9%Headshot % · Top 25% of Level 10 players
15.1%Shot accuracy · Top 50% of Level 10 players
16,050MVPs
16,749Hours (in match)
8,077Bombs planted
2,407Bombs defused

Most-used weapons

AK-47118,344
AWP30,512
MP92,792
MAC-102,412
Knife2,252
SSG 082,103

Lifetime map wins

15,856dust2
11,613inferno
4,409nuke
3,230vertigo
2,339train
901cbble
53office
25safehouse

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

Faceit stats

Combat

2,529Matches
51%Win rate
1.10Avg K/D
74.0ADR
46%Headshot %

Clutches & streaks

42%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust236051%1.1415.4
Anubis17558%1.1815.8
Inferno16749%1.1015.1
Nuke15054%1.1115.4
Mirage13546%1.0414.7
Ancient12243%1.2115.8
Overpass6260%1.2515.9
Train4441%1.0014.5

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.

21.5%Headshot accuracy
37.2%Accuracy (enemy spotted)
36.2%Spray accuracy
86.3%Counter-strafing
9.3°Preaim
545msReaction time
35.8%T opening success
55.1%CT opening success
0.62Enemies flashed / flash
8.2%Flash assists
4.81HE damage / grenade
15.22Flashes / 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. 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 35.8411% — 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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0444%29 Oct →
dust213–30.0226%22 Oct →
cache8–13-0.0324%16 Oct →
nuke13–11-0.0124%15 Jul →
mirage13–80.0626%15 Jul →
dust24–13-0.0625%11 Jul →
dust213–5-0.0219%28 Jun →
dust24–13-0.0224%26 Jun →
nuke7–130.0622%24 Jun →
dust211–13-0.0313%24 Jun →
dust213–11-0.0521%22 Jun →
mirage13–80.0220%12 Jun →
anubis13–160.0521%3 Jun →
dust213–90.1641%3 Jun →
mirage13–11-0.0110%3 Jun →
nuke22–19-0.0418%2 Jun →
cache12–12-0.0413%28 May →
mirage0–130.0220%28 May →
overpass9–130.0234%28 May →
dust210–13-0.0021%28 May →
anubis9–130.0116%28 May →
cache13–100.0328%21 May →
overpass13–30.0521%13 May →
mirage13–10.1332%12 May →
dust213–100.0316%11 May →
overpass12–120.0618%5 May →
cache8–130.1117%5 May →
cache13–40.0922%5 May →
anubis13–6-0.0114%30 Apr →
mirage16–140.0319%29 Apr →
anubis16–140.0319%29 Apr →
ancient7–130.0226%23 Apr →
anubis7–13-0.018%23 Apr →
dust210–130.0123%18 Apr →
dust211–130.0330%17 Apr →
inferno11–13-0.0311%15 Apr →
anubis13–7-0.0511%9 Apr →
ancient13–70.0627%8 Apr →
anubis4–13-0.0217%8 Apr →
mirage13–10-0.0017%8 Apr →
overpass9–13-0.0416%4 Apr →
mirage13–10-0.0218%2 Apr →
nuke9–130.0021%18 Mar →
dust213–80.0231%17 Mar →
anubis13–11-0.0217%16 Mar →
inferno1–13-0.0226%5 Mar →
inferno11–13-0.0213%5 Mar →
inferno7–130.0118%3 Mar →
mirage3–13-0.0514%28 Feb →
dust216–130.0622%20 Feb →
dust213–80.0832%19 Feb →
anubis13–50.1336%17 Feb →
inferno13–80.0132%10 Feb →
nuke16–130.1034%8 Feb →
anubis13–60.018%8 Feb →
anubis6–13-0.1220%7 Feb →
anubis13–80.1730%26 Jan →
nuke13–50.0338%26 Jan →
inferno13–60.0121%26 Jan →
ancient13–9-0.0626%25 Jan →
mirage13–100.0625%22 Jan →
mirage0–13-0.0427%21 Jan →
nuke13–80.0828%21 Jan →
anubis5–13-0.0917%15 Jan →
office13–90.108%13 Jan →
dust210–13-0.0312%13 Jan →
vertigo13–70.0035%12 Jan →
nuke13–30.0019%9 Jan →
ancient6–13-0.0834%8 Jan →
train12–120.1329%5 Jan →
inferno3–13-0.0633%19 Dec →
nuke9–13-0.0028%15 Dec →
overpass2–13-0.0427%10 Dec →
dust213–10.0422%8 Dec →
nuke13–100.0222%5 Dec →
nuke13–70.1917%3 Dec →
overpass9–130.1214%2 Dec →
inferno12–120.0725%2 Dec →
overpass12–120.1918%29 Nov →
overpass2–13-0.020%19 Nov →
overpass13–70.0842%18 Nov →
mirage13–60.1227%29 Oct →
inferno13–9-0.0324%28 Oct →
overpass13–80.0227%22 Oct →
dust213–40.0522%20 Oct →
inferno3–13-0.0119%19 Oct →
nuke13–11-0.0419%18 Oct →
inferno3–13-0.0513%15 Oct →
dust213–70.0429%14 Oct →
dust29–130.0318%13 Oct →
dust213–90.0438%5 Oct →
inferno6–13-0.0320%2 Oct →
nuke10–130.0421%1 Oct →
train13–10-0.0219%30 Sept →
dust213–3-0.0229%25 Sept →
nuke5–13-0.0326%25 Sept →
inferno16–120.0216%25 Sept →
inferno14–16-0.0325%24 Sept →
train12–16-0.0326%22 Sept →
dust29–13-0.0217%22 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.