N

N — CS2 Stats

76561198127244493[U:1:166978765]Steam profile ↗✓ No bans

737Tracked matches43%Win rate2020Tracked since
1,934Hours in CS2Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 11,483 -3,523 25 Feb – 30 Jun · 15 days played
10,62416,723peak 16,72325 Feb30 Jun
16,723Peak Premier in tracked matches
33Days played since 2026-02-25

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

Performance scores

Aim56
Positioning40
Utility31

0–100 skill scores via Leetify.

Recent form

COLD44–54–2Last 10044%Win rateWLWLLLLWLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −3.4pp headshot accuracy · +33ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 661ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 602ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 586ms

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 (+1.6 against its own average).

Aim5.6
Utility3.1
Positioning4.0
Opening Duels0.0

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 94% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 609ms 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

Aim5.6
Positioning4.0
Utility3.1
Mechanics7.3
Opening Duels0.1
Win Impact2.8

Composite 4.3/10 (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 rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time617ms−53ms
first ⅓ avg 670ms → last ⅓ avg 617ms
Headshot accuracy15.8%−1.6%
first ⅓ avg 17.4% → last ⅓ avg 15.8%

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

0.22Best match rating · 7–0 · dust2, 26 Feb →
38%Best headshot accuracy · 8–13 · dust2, 9 Jun →
422msFastest reaction time · 7–13 · dust2, 3 Oct →
13–2Biggest win · boulder, 8 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–3In matches decided by ≤2 rounds
8Overtime games

Map breakdown

overpassBest map · 67% over 6ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheA2012–860%-0.02
mirageC177–1041%-0.02
infernoD144–1029%-0.02
nukeB147–750%-0.01
dust2D123–925%-0.02
overpassS64–267%0.00
ancientD51–420%-0.05
anubis—43–175%-0.00
shelter—31–233%0.01
boulder—32–167%0.04
fachwerk—10–10%-0.00
train—10–10%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,600Lifetime kills
0.93K/D
3,505Matches
40.1%Match win rate
33.3%Headshot %
14.5%Shot accuracy · Top 50% of tracked players
5,925MVPs
1,127Hours (in match)
4,158Bombs planted
619Bombs defused

Most-used weapons

AK-4710,000
SG 5538,411
AUG6,581
Negev2,000
AWP1,921
MP71,434
MP91,283

Lifetime map wins

4,617inferno
3,182nuke
2,825dust2
1,037vertigo
947train
299office
165lake
139cbble

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.

15.9%Headshot accuracy
31.7%Accuracy (enemy spotted)
34.0%Spray accuracy
82.7%Counter-strafing
11.1°Preaim
609msReaction time
26.9%T opening success
30.5%CT opening success
0.52Enemies flashed / flash
4.4%Flash assists
5.11HE damage / grenade
2.40Flashes / 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 2.396 — 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 26.9295% — below the 40% mark we flag

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
shelter13–110.0115%22 Oct →
inferno10–13-0.0613%20 Oct →
inferno13–30.0013%20 Oct →
dust25–13-0.0519%10 Oct →
nuke2–13-0.0713%9 Oct →
mirage5–13-0.0815%7 Oct →
ancient4–13-0.0617%7 Oct →
nuke13–3-0.0215%7 Oct →
ancient14–16-0.0514%3 Oct →
dust27–13-0.047%3 Oct →
cache13–4-0.0421%3 Oct →
dust29–13-0.0715%3 Oct →
cache16–13-0.0112%3 Oct →
anubis13–80.037%3 Oct →
inferno5–130.0620%12 Aug →
dust26–13-0.0616%12 Aug →
anubis13–50.0024%12 Aug →
nuke2–13-0.0812%12 Aug →
shelter8–13-0.0425%8 Aug →
fachwerk9–13-0.0022%8 Aug →
boulder9–100.0219%8 Aug →
boulder13–20.0915%8 Aug →
mirage13–90.0517%15 Jul →
cache13–60.1018%15 Jul →
shelter9–130.0715%14 Jul →
boulder8–130.0010%14 Jul →
overpass3–130.0123%30 Jun →
overpass13–40.018%30 Jun →
inferno12–16-0.0022%30 Jun →
anubis13–50.0019%26 Jun →
inferno15–15-0.0415%26 Jun →
overpass13–30.0618%26 Jun →
anubis8–13-0.0412%25 Jun →
dust28–13-0.0217%25 Jun →
mirage8–30.0310%25 Jun →
dust216–130.0217%21 Jun →
mirage13–60.0014%21 Jun →
nuke13–80.0424%21 Jun →
mirage7–13-0.0216%21 Jun →
mirage13–16-0.0217%20 Jun →
nuke13–30.1921%20 Jun →
dust27–13-0.0720%20 Jun →
inferno9–13-0.117%16 Jun →
dust26–13-0.0412%16 Jun →
inferno13–100.079%16 Jun →
nuke14–16-0.0218%16 Jun →
mirage8–13-0.0212%16 Jun →
inferno10–13-0.088%9 Jun →
dust28–13-0.0338%9 Jun →
mirage10–13-0.0611%9 Jun →
mirage13–70.0316%9 Jun →
dust26–13-0.0618%9 Jun →
nuke6–13-0.0225%30 May →
mirage10–13-0.117%30 May →
mirage7–13-0.0324%30 May →
dust213–7-0.0813%29 May →
mirage10–130.0113%29 May →
inferno6–13-0.0618%29 May →
mirage13–6-0.0619%29 May →
train6–13-0.069%24 May →
cache13–11-0.0615%24 May →
cache13–11-0.0424%18 May →
cache4–13-0.0116%18 May →
overpass13–9-0.0112%12 May →
overpass13–11-0.008%12 May →
nuke11–130.0118%12 May →
nuke12–16-0.0514%12 May →
cache13–6-0.0220%8 May →
ancient9–13-0.0912%8 May →
nuke13–70.0315%8 May →
inferno4–13-0.0625%8 May →
overpass6–13-0.0618%6 May →
inferno6–13-0.0614%6 May →
cache13–4-0.0420%6 May →
cache9–13-0.0912%3 May →
cache13–110.0012%3 May →
cache12–12-0.018%3 May →
mirage8–13-0.0315%3 May →
cache2–13-0.0815%3 May →
cache10–13-0.0424%1 May →
cache13–10-0.0716%1 May →
cache13–30.0218%1 May →
cache9–13-0.0817%1 May →
cache13–8-0.0015%1 May →
cache9–13-0.0122%29 Apr →
cache13–40.0221%29 Apr →
cache5–13-0.0426%28 Apr →
nuke13–10-0.0511%3 Apr →
mirage5–13-0.078%3 Apr →
nuke13–9-0.0624%3 Apr →
mirage13–11-0.039%19 Mar →
inferno4–13-0.0619%19 Mar →
nuke10–13-0.0118%5 Mar →
inferno13–3-0.059%5 Mar →
ancient13–7-0.0419%26 Feb →
mirage13–6-0.0217%26 Feb →
nuke13–8-0.0524%26 Feb →
dust27–00.2222%26 Feb →
inferno13–40.1127%26 Feb →
ancient10–13-0.0320%25 Feb →

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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