Green

Green — CS2 Stats

SH76561198138052375[U:1:177786647]Steam profile ↗✓ No bans

282Tracked matches61%Win rate2020Tracked since
899Hours in CS
CSDB Rating4.4 DevelopingPositional Player
CSDB Leaderboard#72691 of 247939 tracked
FaceitLevel 5 · 1,065 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 20,508 -2,106 22 Feb – 3 Jul · 31 days played
20,50823,398peak 23,39822 Feb3 Jul
23,613Peak Premier in tracked matches
1,065Highest Faceit ELO seen on CSDB
47Days played since 2026-02-22

Faceit ELO

  • At peak — 1,065
  • Next: Level 6 at 1,201 — 136 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches1——
Win rate100%——
K/D1.06——
Headshot %44%——

Measured 3 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,642), 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 5 medianLevel 6 medianvs Level 6
Headshot rate32.7%43.8%44.8%12.1% short
Shot accuracy18.0%12.0%12.4%above
Kill/death ratio1.251.021.03above
Match win rate50.8%44.7%45.2%above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGreenFACEITLevel 5 · 1,065 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,065csdb.gg/stats

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Performance scores

Aim59
Positioning50
Utility23

0–100 skill scores via Leetify.

Recent form

HOT53–44–3Last 10053%Win rateWTWWWWWTWW

Last 10 vs previous 10: +40pp win rate · −0.03 avg rating · −1.4pp headshot accuracy · +18ms reaction

Win rate up 40pp 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 (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–0–1 · 80% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 12%
  • Avg reaction 578ms

Last 10

  • 8–0–2 · 80% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 561ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 552ms

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).

Aim5.9
Utility2.3
Positioning5.0
Opening Duels1.8
Clutch4.8

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

iM

Plays most like iM 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 47% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 550ms 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

Aim5.9
Positioning5.0
Utility2.3
Mechanics4.4
Opening Duels2.1
Win Impact8.6

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time548ms−2ms
first ⅓ avg 550ms → last ⅓ avg 548ms
Headshot accuracy14.0%−0.0%
first ⅓ avg 14.0% → last ⅓ avg 14.0%

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

0.08Best match rating · 13–9 · mirage, 16 Mar →
38%Best headshot accuracy · 13–6 · nuke, 27 Feb →
406msFastest reaction time · 3–13 · mirage, 13 Aug →
13–3Biggest win · anubis, 23 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 67% over 6dust2Weakest map · 44% over 27
MapGradePlayedRecordWin rateAvg rating
dust2C2712–1544%-0.02
mirageB199–1047%-0.01
infernoA159–660%-0.01
anubisA117–464%-0.00
ancientA116–555%-0.02
nukeB84–450%-0.01
cacheS64–267%-0.04
overpass—22–0100%-0.00
train—10–10%-0.12

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 27). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,747Lifetime kills
1.25K/D · Top 25% of Level 5 players
2,156Matches
50.8%Match win rate · Top 10% of Level 5 players
32.7%Headshot %
18.0%Shot accuracy · Top 10% of Level 5 players
7,197MVPs
899Hours (in match)
2,496Bombs planted
447Bombs defused

Most-used weapons

Lifetime map wins

14,637dust2
1,576inferno
505nuke
153train
144vertigo
89cbble
67office
18dust

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

Faceit stats

Combat

43Matches
53%Win rate
0.92Avg K/D
79.3ADR
35%Headshot %

Clutches & streaks

44%1v1 clutch win
20%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage862%0.9615.4
Dust2650%0.7312.3
Overpass250%1.2918.0
Train1100%0.8310.0
Ancient1100%1.2719.0

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.

13.5%Headshot accuracy
33.2%Accuracy (enemy spotted)
37.6%Spray accuracy
70.0%Counter-strafing
9.7°Preaim
550msReaction time
24.1%T opening success
46.9%CT opening success
0.45Enemies flashed / flash
2.4%Flash assists
6.19HE damage / grenade
1.66Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.5236% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4486 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 24.1205% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

44% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–100.0110%5 Sept →
train12–12-0.126%30 Aug →
anubis13–3-0.0515%23 Aug →
dust213–9-0.0317%22 Aug →
cache13–3-0.1111%22 Aug →
ancient13–90.0218%21 Aug →
mirage13–3-0.0414%21 Aug →
mirage15–15-0.019%18 Aug →
mirage13–8-0.0324%18 Aug →
ancient13–6-0.034%17 Aug →
anubis9–13-0.0222%17 Aug →
ancient13–16-0.0317%14 Aug →
ancient8–13-0.009%14 Aug →
mirage3–13-0.0617%13 Aug →
nuke13–9-0.0211%13 Aug →
cache13–11-0.027%12 Aug →
anubis13–50.0412%12 Aug →
anubis13–80.0511%4 Aug →
cache8–13-0.0621%1 Aug →
nuke11–13-0.0217%13 Jul →
dust213–80.0410%13 Jul →
ancient7–13-0.054%3 Jul →
inferno13–11-0.0710%3 Jul →
dust29–13-0.0314%3 Jul →
inferno6–130.0717%29 Jun →
inferno13–4-0.0219%19 May →
cache13–9-0.0315%10 May →
cache7–13-0.0317%10 May →
inferno10–13-0.0116%7 May →
dust213–70.0313%3 May →
dust213–80.0126%3 May →
cache13–11-0.0211%3 May →
inferno10–13-0.0218%2 May →
dust29–13-0.028%30 Apr →
dust213–50.058%30 Apr →
anubis8–13-0.0418%30 Apr →
overpass13–9-0.0217%28 Apr →
inferno13–5-0.0718%26 Apr →
dust28–13-0.0010%17 Apr →
mirage3–13-0.0123%17 Apr →
dust28–13-0.0813%27 Mar →
dust211–13-0.0111%24 Mar →
anubis10–13-0.0610%24 Mar →
dust29–130.018%21 Mar →
mirage13–6-0.044%20 Mar →
mirage16–14-0.0114%20 Mar →
dust28–13-0.058%20 Mar →
mirage15–15-0.045%19 Mar →
dust22–13-0.1227%18 Mar →
inferno4–13-0.0913%17 Mar →
mirage13–80.0015%16 Mar →
dust211–13-0.0322%16 Mar →
mirage13–90.0814%16 Mar →
mirage13–60.0417%16 Mar →
dust27–130.0130%16 Mar →
dust214–16-0.0218%15 Mar →
ancient16–14-0.0218%14 Mar →
inferno13–8-0.0123%14 Mar →
dust216–14-0.0115%12 Mar →
ancient6–13-0.0425%12 Mar →
mirage0–13-0.0514%12 Mar →
inferno13–11-0.0111%12 Mar →
ancient13–6-0.016%12 Mar →
anubis13–100.0714%8 Mar →
nuke13–60.0618%7 Mar →
mirage7–130.0215%7 Mar →
overpass13–110.0211%7 Mar →
nuke4–130.0211%7 Mar →
dust28–130.0015%7 Mar →
ancient14–16-0.059%7 Mar →
mirage5–13-0.0516%6 Mar →
dust213–6-0.0113%6 Mar →
anubis13–110.0113%6 Mar →
dust214–16-0.068%5 Mar →
mirage8–13-0.0011%5 Mar →
ancient13–110.0212%5 Mar →
mirage4–130.0314%5 Mar →
dust216–13-0.027%3 Mar →
dust216–12-0.0210%3 Mar →
anubis5–13-0.0411%3 Mar →
mirage13–6-0.0121%3 Mar →
anubis13–10-0.0520%1 Mar →
inferno13–50.0216%1 Mar →
nuke7–13-0.0814%1 Mar →
inferno8–130.0410%28 Feb →
inferno12–160.0115%28 Feb →
anubis13–110.0717%28 Feb →
dust213–70.0814%28 Feb →
nuke9–13-0.0010%27 Feb →
nuke13–6-0.0538%27 Feb →
dust210–13-0.0611%26 Feb →
dust213–5-0.003%26 Feb →
dust213–4-0.0617%26 Feb →
mirage13–4-0.0416%25 Feb →
mirage8–13-0.0610%25 Feb →
dust213–160.0125%23 Feb →
nuke13–50.0412%22 Feb →
ancient13–80.0118%22 Feb →
inferno16–13-0.039%22 Feb →
inferno13–40.0221%22 Feb →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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