Chessman

Chessman — CS2 Stats

BA76561199821292950[U:1:1861027222]Steam profile ↗✓ No bans

1,315Tracked matches48%Win rate2025Tracked since
CSDB Rating5.7 SolidSupport
Premier CS Rating13,175Blue band · top ~38.1% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,175 +3,175 31 Aug – 13 Nov · 31 days played
8,14713,516peak 13,51631 Aug13 Nov
13,516Peak Premier in tracked matches
938Highest Faceit ELO seen on CSDB
37Days played since 2026-08-28

Premier CS Rating

  • 341 below peak (13,516)
  • +4,052 over 30 days · improving
  • Next: Purple band at 15,000 — 1,825 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-31
  • Light Blue band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGChessmanFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,175 · Blue bandPEAK ELO938csdb.gg/stats

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Performance scores

Aim68
Positioning53
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateLWLLWLWLLW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +2.7pp headshot accuracy · +20ms reaction

Win rate down 20pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 638ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 659ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 650ms

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: Support — Utility contribution stands above the rest of this profile (+0.9 against its own average).

Aim6.8
Utility5.4
Positioning5.3
Opening Duels3.8
Clutch3.4

Effective flashes

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

ZywOo

Plays most like ZywOo 91% 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. 643ms 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

Aim6.8
Positioning5.3
Utility5.4
Mechanics6.8
Opening Duels5.8
Win Impact4.4

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time639ms+48ms
first ⅓ avg 591ms → last ⅓ avg 639ms
Headshot accuracy14.2%−2.5%
first ⅓ avg 16.7% → last ⅓ avg 14.2%

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

0.11Best match rating · 10–13 · dust2, 30 Sept →
31%Best headshot accuracy · 13–7 · dust2, 29 Aug →
375msFastest reaction time · 7–13 · inferno, 28 Aug →
13–1Biggest win · mirage, 25 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
5–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 67% over 9anubisWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B2914–1548%-0.02
mirageA2314–961%-0.02
infernoA138–562%-0.02
nukeS96–367%-0.01
cacheD82–625%-0.03
anubisD81–713%-0.03
ancientC83–538%-0.05
office—10–10%-0.10
train—11–0100%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

137Matches
47%Win rate
0.85Avg K/D
73.9ADR
34%Headshot %

Clutches & streaks

37%1v1 clutch win
11%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4646%0.8914.7
Dust23847%0.8714.2
Inferno1533%0.7011.9
Cache1242%0.6812.8
Nuke862%0.7613.3
Anubis875%1.1813.1
Ancient729%0.8212.4
Vertigo250%0.6014.0

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.

14.8%Headshot accuracy
37.5%Accuracy (enemy spotted)
37.1%Spray accuracy
80.6%Counter-strafing
9.1°Preaim
643msReaction time
53.9%T opening success
52.3%CT opening success
0.74Enemies flashed / flash
4.2%Flash assists
6.69HE damage / grenade
10.41Flashes / 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 14.8462% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Anubis

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage2–13-0.0418%14 Nov →
cache13–80.0222%13 Nov →
dust211–13-0.0417%13 Nov →
nuke0–7-0.048%13 Nov →
dust213–50.012%12 Nov →
cache11–130.0013%12 Nov →
nuke13–110.0027%12 Nov →
anubis12–160.0127%10 Nov →
inferno1–13-0.0511%9 Nov →
cache13–6-0.0416%9 Nov →
ancient13–16-0.048%6 Nov →
mirage9–13-0.0410%5 Nov →
nuke13–70.0126%4 Nov →
dust29–13-0.0114%2 Nov →
mirage13–11-0.009%1 Nov →
dust216–12-0.0516%1 Nov →
nuke13–9-0.037%1 Nov →
mirage13–9-0.0114%1 Nov →
inferno16–12-0.0121%1 Nov →
cache11–13-0.079%31 Oct →
dust26–13-0.0612%31 Oct →
mirage10–13-0.0523%31 Oct →
inferno11–13-0.0610%30 Oct →
dust213–11-0.0820%30 Oct →
dust215–15-0.0118%30 Oct →
inferno13–8-0.039%30 Oct →
inferno13–6-0.0311%30 Oct →
nuke4–13-0.0214%29 Oct →
anubis9–13-0.0310%29 Oct →
mirage13–3-0.079%29 Oct →
dust213–3-0.0313%29 Oct →
anubis4–13-0.1010%28 Oct →
mirage13–90.0514%28 Oct →
anubis6–13-0.0113%28 Oct →
ancient13–2-0.0715%26 Oct →
inferno13–50.0117%26 Oct →
inferno13–20.0812%26 Oct →
inferno13–90.0125%26 Oct →
mirage13–10.0820%25 Oct →
inferno13–3-0.0217%25 Oct →
mirage13–8-0.0411%25 Oct →
inferno13–4-0.068%25 Oct →
mirage8–13-0.0924%24 Oct →
mirage13–10-0.0015%24 Oct →
mirage3–13-0.094%24 Oct →
mirage3–130.0423%23 Oct →
ancient15–15-0.0311%22 Oct →
anubis13–11-0.084%22 Oct →
nuke13–10-0.036%22 Oct →
dust210–13-0.025%22 Oct →
inferno11–13-0.008%22 Oct →
cache6–13-0.0413%20 Oct →
mirage16–13-0.022%20 Oct →
dust213–8-0.014%20 Oct →
ancient8–13-0.0612%20 Oct →
dust28–13-0.0315%20 Oct →
dust213–7-0.0420%20 Oct →
anubis6–13-0.0413%19 Oct →
mirage13–9-0.0327%19 Oct →
cache4–13-0.0313%19 Oct →
ancient11–13-0.064%19 Oct →
mirage15–15-0.0412%18 Oct →
nuke13–8-0.027%10 Oct →
ancient13–6-0.0216%10 Oct →
ancient13–5-0.0816%10 Oct →
cache12–16-0.0826%10 Oct →
nuke13–160.0023%7 Oct →
inferno10–13-0.0613%30 Sept →
nuke13–70.0711%30 Sept →
dust210–130.1124%30 Sept →
anubis10–130.009%26 Sept →
dust26–13-0.0417%26 Sept →
mirage13–100.0615%24 Sept →
dust25–13-0.0321%24 Sept →
dust20–8-0.0813%19 Sept →
dust27–13-0.077%19 Sept →
dust213–9-0.107%16 Sept →
dust213–80.0722%14 Sept →
dust213–5-0.0010%14 Sept →
ancient4–13-0.0622%14 Sept →
anubis4–130.0215%12 Sept →
dust213–100.0214%9 Sept →
mirage13–8-0.053%6 Sept →
dust25–13-0.0220%4 Sept →
mirage13–60.0120%3 Sept →
dust28–13-0.0613%3 Sept →
dust213–10-0.0222%3 Sept →
office4–13-0.1011%3 Sept →
mirage12–12-0.1013%3 Sept →
dust213–10-0.0022%3 Sept →
mirage1–13-0.0816%29 Aug →
dust25–13-0.0222%29 Aug →
cache8–13-0.0424%29 Aug →
mirage13–7-0.0019%29 Aug →
dust213–20.0820%29 Aug →
mirage13–8-0.0219%29 Aug →
dust25–13-0.0117%29 Aug →
train13–11-0.0418%29 Aug →
dust213–7-0.0131%29 Aug →
inferno7–13-0.0121%28 Aug →

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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