Nicco

Nicco — CS2 Stats

CA76561197960693679[U:1:427951]Steam profile ↗✓ No bans

2,160Tracked matches55%Win rate2020Tracked since
CSDB Rating6.2 SolidClutch Specialist
Premier CS Rating19,994Top 50% of 208,919 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#84978 of 256025 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+103Premier CS Rating · 19,891 → 19,994

Rating over time

Premier CS Rating: 19,994 -3,377 20 Jul – 22 Oct · 46 days played
19,07724,422peak 24,42220 Jul22 Oct
24,686Peak Premier in tracked matches
43Days played since 2026-07-20

Premier CS Rating

  • 4,428 below peak (24,422)
  • -189 over 30 days · steady
  • -4,127 over 90 days
  • Next: Pink band at 20,000 — 6 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGNiccoFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER19,994 · Purple bandcsdb.gg/stats

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Performance scores

Aim67
Positioning66
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY43–53–4Last 10043%Win rateWLLLLLWWWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −3.3pp headshot accuracy · +29ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 513ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 556ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 541ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.9 against its own average).

Aim6.7
Utility5.6
Positioning6.6
Opening Duels4.6
Clutch9.4

Reliable in 1v1s

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

donk

Plays most like donk 84% 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

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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
Positioning6.6
Utility5.6
Mechanics4.4
Opening Duels6.8
Win Impact6.7

Composite 6.2/10 (Solid), 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 -0.01 → last ⅓ avg 0.00
Reaction time544ms−58ms
first ⅓ avg 602ms → last ⅓ avg 544ms
Headshot accuracy19.3%−0.8%
first ⅓ avg 20.1% → last ⅓ avg 19.3%

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

0.13Best match rating · 13–7 · mirage, 6 Oct →
39%Best headshot accuracy · 13–2 · inferno, 25 Jul →
367msFastest reaction time · 6–13 · ancient, 12 Aug →
13–2Biggest win · inferno, 30 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–8In matches decided by ≤2 rounds
16Overtime games

Map breakdown

infernoBest map · 50% over 20ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2612–1446%-0.02
nukeC228–1436%-0.00
infernoB2010–1050%-0.00
mirageB115–645%-0.01
cacheB84–450%0.02
ancientD72–529%-0.03
anubisD62–433%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

368Matches
52%Win rate
1.31Avg K/D
87.6ADR
39%Headshot %

Clutches & streaks

67%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLWL

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.

19.7%Headshot accuracy
34.6%Accuracy (enemy spotted)
33.3%Spray accuracy
70.0%Counter-strafing
9.3°Preaim
543msReaction time
59.0%T opening success
55.6%CT opening success
0.61Enemies flashed / flash
5.3%Flash assists
10.91HE damage / grenade
6.14Flashes / match

Recommended for you

Spend your practice time on Ancient

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 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–90.0013%22 Oct →
cache13–160.0425%21 Oct →
dust29–13-0.0926%21 Oct →
mirage14–160.0615%19 Oct →
inferno13–16-0.0216%19 Oct →
nuke12–16-0.0128%18 Oct →
anubis13–5-0.0015%18 Oct →
cache13–70.0927%18 Oct →
inferno13–40.0613%17 Oct →
dust213–7-0.0210%17 Oct →
anubis10–13-0.0520%16 Oct →
nuke5–13-0.0022%16 Oct →
cache13–30.0223%15 Oct →
nuke13–50.0324%15 Oct →
ancient13–7-0.0822%15 Oct →
cache11–13-0.0125%15 Oct →
nuke13–80.1230%14 Oct →
cache9–130.0319%14 Oct →
anubis10–130.0521%12 Oct →
mirage14–160.0217%12 Oct →
inferno15–150.0024%11 Oct →
nuke0–13-0.0920%11 Oct →
nuke13–9-0.0727%8 Oct →
mirage13–40.0111%8 Oct →
nuke13–10-0.023%7 Oct →
mirage13–11-0.0629%7 Oct →
cache13–60.0228%6 Oct →
mirage13–70.1316%6 Oct →
dust213–10-0.0312%5 Oct →
mirage2–13-0.105%5 Oct →
inferno16–12-0.0118%4 Oct →
anubis13–60.0422%4 Oct →
cache13–50.0113%3 Oct →
nuke11–130.0121%3 Oct →
ancient11–13-0.0416%28 Sept →
cache7–13-0.0428%28 Sept →
nuke4–130.0929%26 Sept →
dust27–13-0.0126%20 Sept →
ancient8–13-0.0720%20 Sept →
dust210–13-0.0439%20 Sept →
inferno13–50.0118%20 Sept →
inferno9–13-0.0418%9 Sept →
anubis9–13-0.0735%9 Sept →
dust212–16-0.0512%1 Sept →
dust26–13-0.0331%30 Aug →
inferno13–2-0.0216%30 Aug →
inferno13–9-0.0113%30 Aug →
nuke3–13-0.0610%30 Aug →
mirage5–13-0.0615%25 Aug →
dust213–10-0.0627%25 Aug →
dust210–13-0.0512%24 Aug →
dust215–150.0015%24 Aug →
nuke10–13-0.0111%24 Aug →
inferno13–3-0.0620%18 Aug →
nuke11–130.0121%18 Aug →
mirage13–70.0223%16 Aug →
nuke13–11-0.0517%16 Aug →
dust213–60.0028%15 Aug →
nuke13–30.0920%15 Aug →
inferno15–150.0030%14 Aug →
dust213–11-0.0127%14 Aug →
ancient6–130.0222%12 Aug →
ancient9–13-0.0120%12 Aug →
nuke14–16-0.0129%6 Aug →
dust27–13-0.0711%6 Aug →
nuke13–16-0.0315%5 Aug →
inferno7–13-0.0519%4 Aug →
dust210–13-0.0620%4 Aug →
dust20–9-0.0810%3 Aug →
dust26–130.0122%3 Aug →
mirage13–11-0.0311%3 Aug →
inferno13–6-0.0126%3 Aug →
inferno8–130.0126%1 Aug →
dust213–80.0618%1 Aug →
inferno13–90.0931%1 Aug →
inferno14–16-0.0419%30 Jul →
dust25–13-0.0115%30 Jul →
nuke8–13-0.0019%28 Jul →
dust213–100.0931%28 Jul →
nuke15–150.0624%27 Jul →
inferno7–130.0319%27 Jul →
mirage8–13-0.0112%26 Jul →
nuke13–9-0.0016%26 Jul →
dust24–13-0.0931%26 Jul →
nuke13–10-0.0612%26 Jul →
dust29–13-0.0516%26 Jul →
inferno13–20.0939%25 Jul →
inferno9–13-0.0321%25 Jul →
ancient5–13-0.0423%25 Jul →
nuke2–13-0.0414%23 Jul →
ancient16–12-0.0222%23 Jul →
anubis8–13-0.0513%22 Jul →
mirage3–13-0.0513%22 Jul →
dust213–90.0013%22 Jul →
dust213–90.0028%22 Jul →
nuke5–13-0.0329%22 Jul →
dust216–13-0.0112%21 Jul →
dust213–80.0113%21 Jul →
dust213–60.0420%21 Jul →
inferno6–13-0.0625%20 Jul →

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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