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76561198183544069[U:1:223278341]Steam profile ↗

1,160Tracked matches50%Win rate2020Tracked since
CSDB Rating5.6 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 1,160 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 54 days played since 28 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

54Days played since 2026-03-28

CSDB’s own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim72
Positioning58
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY55378Last 10055%Win rateWWWWLLLLWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +1.2pp headshot accuracy · −43ms 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

  • 41 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 494ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 508ms

Last 20

  • 9101 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 529ms

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 PlayerPositioning stands above the rest of this profile (+1.8 against its own average).

Aim7.2
Utility3.8
Positioning5.8
Opening Duels2.5

Strong CT-side openerLimited 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

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 56% on CT to 23% 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

Aim7.2
Positioning5.8
Utility3.8
Mechanics5.9
Opening Duels3.3
Win Impact5.0

Composite 5.6/10 (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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time548ms−45ms
first ⅓ avg 593ms → last ⅓ avg 548ms
Headshot accuracy23.5%+3.1%
first ⅓ avg 20.4% → last ⅓ avg 23.5%

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

0.27Best match rating · 13–0 · inferno, 28 Apr
43%Best headshot accuracy · 13–0 · anubis, 5 Jun
406msFastest reaction time · 12–12 · inferno, 13 Aug
13–0Biggest win · dust2, 22 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
98In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 67% over 18infernoWeakest map · 48% over 40
MapGradePlayedRecordWin rateAvg rating
infernoB40192148%0.03
dust2A2213959%-0.01
anubisS1812667%-0.00
ancientB63350%-0.00
mirage42250%0.06
cache43175%-0.01
nuke42250%0.01
vertigo110100%0.02
train1010%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (48% over 40). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.6%Headshot accuracy
31.5%Accuracy (enemy spotted)
35.5%Spray accuracy
76.7%Counter-strafing
9.8°Preaim
548msReaction time
22.9%T opening success
56.4%CT opening success
0.58Enemies flashed / flash
2.9%Flash assists
10.96HE damage / grenade
3.71Flashes / 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 3.7104 — 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 22.856% — 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.

48% win rate across 40 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–7-0.0420%14 Sept
dust213–70.0221%14 Sept
inferno13–30.1331%12 Sept
anubis13–110.0126%12 Sept
inferno9–13-0.0430%25 Aug
dust211–13-0.0117%25 Aug
anubis2–13-0.0718%25 Aug
inferno8–130.0235%22 Aug
dust213–00.0517%22 Aug
anubis6–13-0.0520%22 Aug
inferno10–13-0.0337%20 Aug
mirage13–110.0117%13 Aug
inferno12–120.0833%13 Aug
mirage11–130.1121%4 Aug
inferno13–8-0.0319%4 Aug
anubis13–9-0.0414%1 Aug
inferno1–13-0.075%30 Jul
dust29–13-0.0020%26 Jul
dust213–4-0.0332%22 Jul
anubis11–13-0.0124%22 Jul
inferno3–13-0.0339%22 Jul
inferno12–120.0036%21 Jul
dust210–13-0.0523%13 Jul
dust213–8-0.0424%29 Jun
inferno13–2-0.0121%29 Jun
anubis13–9-0.029%28 Jun
dust213–7-0.0026%28 Jun
inferno13–110.1119%25 Jun
dust28–13-0.0431%15 Jun
inferno10–130.1217%13 Jun
anubis13–3-0.0330%11 Jun
inferno9–13-0.0129%11 Jun
inferno13–5-0.0414%7 Jun
inferno5–13-0.0223%7 Jun
inferno13–110.0124%6 Jun
anubis13–100.0118%5 Jun
anubis13–00.0043%5 Jun
inferno13–10.1629%5 Jun
inferno6–13-0.0721%5 Jun
dust211–130.0116%1 Jun
inferno13–11-0.0220%1 Jun
inferno12–120.0218%23 May
ancient3–13-0.0523%23 May
anubis13–10-0.0220%23 May
inferno13–50.0824%21 May
ancient13–90.0113%18 May
cache7–13-0.0331%18 May
nuke13–7-0.0335%17 May
cache13–90.0427%17 May
cache13–7-0.037%17 May
inferno6–13-0.0322%16 May
nuke11–130.0425%14 May
cache13–8-0.0315%11 May
inferno13–60.0323%11 May
inferno10–130.0323%11 May
nuke7–90.0636%10 May
inferno13–50.0323%9 May
anubis7–130.0226%9 May
dust213–6-0.0233%9 May
inferno12–120.049%6 May
inferno13–60.055%1 May
inferno8–130.0711%30 Apr
anubis13–110.0817%28 Apr
inferno13–00.2719%28 Apr
vertigo13–60.0212%28 Apr
ancient8–13-0.0116%25 Apr
inferno13–30.1223%25 Apr
anubis13–5-0.009%25 Apr
inferno10–130.0215%23 Apr
dust213–10-0.0420%23 Apr
inferno13–40.0920%23 Apr
inferno7–13-0.0513%22 Apr
train12–12-0.0413%22 Apr
dust28–13-0.0220%20 Apr
inferno13–90.0521%20 Apr
dust213–20.0619%20 Apr
dust210–13-0.0230%19 Apr
mirage8–130.0229%18 Apr
inferno13–11-0.0220%18 Apr
ancient13–80.0432%18 Apr
anubis8–13-0.0125%18 Apr
inferno13–10-0.0235%17 Apr
dust213–60.0127%14 Apr
inferno12–120.0017%13 Apr
inferno12–12-0.0116%12 Apr
ancient9–13-0.0021%11 Apr
dust212–12-0.0322%8 Apr
dust211–130.0016%8 Apr
dust213–7-0.0034%6 Apr
ancient13–10-0.0116%5 Apr
anubis13–40.0013%5 Apr
anubis13–70.0018%2 Apr
anubis13–40.1322%2 Apr
mirage13–110.0824%2 Apr
inferno10–130.0211%30 Mar
dust213–10-0.0225%29 Mar
anubis11–13-0.028%29 Mar
nuke13–11-0.0526%29 Mar
dust213–50.0618%29 Mar
inferno13–60.0620%28 Mar

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 →