unFair

unFair — CS2 Stats

CA76561199107903336[U:1:1147637608]Steam profile ↗✓ No bans

713Tracked matches81%Win rate2023Tracked since
749Hours in CS27Hrs last 2 wks
CSDB Rating8.2 StrongPositional Player
Premier CS Rating18,365Purple band · top ~15% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (3 days ago). 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: 18,365 +3,345 29 Aug – 15 Oct · 26 days played
15,00018,365peak 18,36529 Aug15 Oct
18,667Peak Premier in tracked matches
35Days played since 2026-08-29

Premier CS Rating

  • At peak — 18,365
  • +1,143 over 30 days · improving
  • Next: Pink band at 20,000 — 1,635 to go
  • Reached: Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,934), 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 rate48.1%43.7%44.8%above
Shot accuracy0.7%12.0%12.4%11.8% short
Kill/death ratio0.871.021.030.17 short
Match win rate28.2%44.7%45.2%17.0% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGunFairFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER18,365 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim88
Positioning72
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY58–30–12Last 10058%Win rateWLWTWLWLWW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +2.4pp headshot accuracy · +59ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 592ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 619ms

Last 20

  • 13–4–3 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 589ms

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 (+2.4 against its own average).

Aim8.8
Utility6.1
Positioning7.2
Opening Duels5.0
Clutch0.8

Sharp aimerExcellent counter-strafingStrong CT-side opener

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 95% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 589ms 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

Aim8.8
Positioning7.2
Utility6.1
Mechanics9.0
Opening Duels8.1
Win Impact10.0

Composite 8.2/10 (Strong), 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 rating0.01+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time596ms+8ms
first ⅓ avg 588ms → last ⅓ avg 596ms
Headshot accuracy15.4%−2.1%
first ⅓ avg 17.5% → last ⅓ avg 15.4%

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

0.14Best match rating · 13–9 · dust2, 6 Oct →
33%Best headshot accuracy · 6–4 · ancient, 23 Sept →
398msFastest reaction time · 9–13 · nuke, 18 Sept →
13–1Biggest win · dust2, 4 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
8–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

vertigoBest map · 88% over 8infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
ancientA2011–955%0.00
dust2A1710–759%0.01
mirageB158–753%-0.02
infernoC104–640%-0.02
cacheS96–367%0.02
nukeC94–544%-0.03
anubisS86–275%-0.01
vertigoS87–188%0.02
train—42–250%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,922Lifetime kills
0.87K/D
1,787Matches
28.2%Match win rate
48.1%Headshot % · Top 50% of Level 5 players
0.7%Shot accuracy
2,580MVPs
512Hours (in match)
804Bombs planted
220Bombs defused

Most-used weapons

Lifetime map wins

1,395dust2
1,272inferno
1,172nuke
1,167vertigo
153train
18ar_baggage
15office
15ar_shoots

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

Faceit stats

Combat

27Matches
59%Win rate
1.02Avg K/D
78.3ADR
43%Headshot %

Clutches & streaks

24%1v1 clutch win
18%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage667%0.7913.7
Nuke560%0.7311.4
Ancient475%1.3015.5
Inferno425%0.8612.8
Dust23100%1.3822.0
Anubis250%0.9415.5
Cache250%1.7519.5
Vertigo10%1.1120.0

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.

15.3%Headshot accuracy
42.4%Accuracy (enemy spotted)
40.5%Spray accuracy
90.6%Counter-strafing
8.0°Preaim
589msReaction time
64.9%T opening success
59.8%CT opening success
0.62Enemies flashed / flash
7.6%Flash assists
10.15HE damage / grenade
6.53Flashes / match

Recommended for you

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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–30.0815%18 Oct →
cache5–13-0.0714%15 Oct →
dust213–90.0122%15 Oct →
nuke15–150.0016%15 Oct →
cache13–8-0.0315%15 Oct →
mirage3–13-0.058%15 Oct →
cache13–100.0812%15 Oct →
dust211–13-0.0111%14 Oct →
mirage13–60.0130%13 Oct →
cache13–30.0811%13 Oct →
anubis13–4-0.059%13 Oct →
nuke13–7-0.0016%13 Oct →
mirage13–11-0.037%12 Oct →
train6–13-0.0512%12 Oct →
dust216–140.0417%10 Oct →
ancient15–150.0617%8 Oct →
anubis15–15-0.0011%8 Oct →
ancient13–30.0610%7 Oct →
anubis13–90.0317%6 Oct →
train13–60.0613%6 Oct →
anubis13–7-0.045%6 Oct →
dust213–90.1417%6 Oct →
dust213–60.0421%6 Oct →
train13–100.0920%5 Oct →
dust213–10.0521%4 Oct →
cache13–40.0220%4 Oct →
ancient12–12-0.0319%4 Oct →
mirage11–13-0.0424%2 Oct →
inferno13–9-0.039%30 Sept →
cache13–30.1120%30 Sept →
ancient4–13-0.0422%28 Sept →
inferno9–130.0116%28 Sept →
mirage4–13-0.0513%28 Sept →
nuke8–13-0.0618%28 Sept →
ancient13–9-0.0315%28 Sept →
mirage10–13-0.0326%27 Sept →
vertigo13–9-0.0213%27 Sept →
train6–130.0124%27 Sept →
vertigo13–60.0321%27 Sept →
mirage5–13-0.0111%26 Sept →
inferno12–120.0020%26 Sept →
vertigo13–80.0917%26 Sept →
mirage2–13-0.0111%26 Sept →
ancient12–120.0128%25 Sept →
cache12–120.0415%25 Sept →
nuke5–13-0.068%25 Sept →
dust213–9-0.0414%25 Sept →
anubis13–110.0116%25 Sept →
inferno15–15-0.0013%24 Sept →
vertigo13–90.0332%24 Sept →
dust27–13-0.0224%24 Sept →
ancient6–4-0.0333%23 Sept →
nuke13–50.0318%23 Sept →
inferno15–15-0.0619%23 Sept →
mirage13–70.0517%22 Sept →
ancient13–7-0.0124%21 Sept →
anubis6–130.0223%21 Sept →
ancient12–12-0.0925%21 Sept →
nuke13–3-0.0712%21 Sept →
nuke9–130.0115%18 Sept →
vertigo13–60.0420%18 Sept →
ancient14–16-0.0424%18 Sept →
dust211–13-0.0014%17 Sept →
anubis13–80.026%17 Sept →
ancient13–80.0615%17 Sept →
inferno1–11-0.068%16 Sept →
vertigo13–11-0.0018%16 Sept →
dust213–10-0.0618%15 Sept →
mirage13–10-0.0210%15 Sept →
ancient15–150.0616%13 Sept →
cache13–30.0329%13 Sept →
vertigo12–12-0.0016%12 Sept →
dust214–160.0313%12 Sept →
ancient7–130.0219%11 Sept →
cache9–13-0.0219%11 Sept →
dust213–80.0919%11 Sept →
inferno9–50.0222%11 Sept →
vertigo13–3-0.0133%11 Sept →
nuke5–13-0.0624%11 Sept →
mirage13–4-0.0511%10 Sept →
ancient13–3-0.056%10 Sept →
dust216–12-0.0324%10 Sept →
mirage16–12-0.0715%10 Sept →
dust23–13-0.1021%9 Sept →
ancient13–70.0913%9 Sept →
ancient6–13-0.0614%9 Sept →
ancient4–30.0314%9 Sept →
mirage13–50.0121%9 Sept →
dust211–13-0.0218%8 Sept →
ancient13–7-0.0015%8 Sept →
inferno13–11-0.0313%8 Sept →
ancient13–50.1127%8 Sept →
dust213–2-0.0132%7 Sept →
inferno13–11-0.0713%7 Sept →
ancient13–9-0.058%4 Sept →
inferno8–13-0.018%4 Sept →
nuke16–13-0.0715%4 Sept →
mirage8–13-0.0726%3 Sept →
anubis13–10-0.0319%3 Sept →
dust29–13-0.049%29 Aug →

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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