/\/31|_ _ /\/\

/\/31|_ _ /\/\ — CS2 Stats

IE76561197999388320[U:1:39122592]Steam profile ↗✓ No bans

1,695Tracked matches50%Win rate2020Tracked since
CSDB Rating5.7 SolidSupport
FaceitLevel 9 · 2,063 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,063 → 2,063
+33Tracked matches · now 1,695
+6.7ppWin rate · 43.3% → 50.0%

Rating over time

Faceit ELO: 2,063 +0 29 Aug – 20 Sept · 7 observations
2,0632,063peak 2,06329 Aug20 Sept
2,063Highest Faceit ELO seen on CSDB
48Days played since 2026-04-24

Faceit ELO

  • At peak — 2,063
  • Next: 2,500 ELO at 2,500 — 437 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-29
  • Level 9 first seen 2026-08-29

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GG/\/31|_ _ /\/\FACEITLevel 9 · 2,063 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,063csdb.gg/stats

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Performance scores

Aim66
Positioning56
Utility56

0–100 skill scores via Leetify.

Recent form

HOT53–47Last 10053%Win rateWWWWLWWWLL

Last 10 vs previous 10: +40pp win rate · +0.00 avg rating · −2.2pp headshot accuracy · +20ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 574ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 532ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 522ms

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 (+1.3 against its own average).

Aim6.6
Utility5.6
Positioning5.6
Opening Duels3.0
Clutch3.2

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 88% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. Opening success drops from 56% on T to 36% on CT — first contacts on the defending side are being lost.

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

Aim6.6
Positioning5.6
Utility5.6
Mechanics5.6
Opening Duels4.0
Win Impact5.0

Composite 5.7/10 (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-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time516ms−34ms
first ⅓ avg 551ms → last ⅓ avg 516ms
Headshot accuracy15.3%−1.1%
first ⅓ avg 16.4% → last ⅓ avg 15.3%

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

0.15Best match rating · 13–3 · inferno, 8 Jul →
38%Best headshot accuracy · 13–6 · nuke, 15 Jun →
359msFastest reaction time · 13–3 · ancient, 3 Jun →
13–0Biggest win · cache, 7 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
12–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 68% over 19dust2Weakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
infernoA2313–1057%-0.00
nukeS1913–668%-0.01
dust2C145–936%-0.03
ancientC146–843%-0.03
cacheA116–555%-0.02
mirageA85–363%-0.02
overpassC52–340%-0.06
anubis—43–175%-0.02
vertigo—20–20%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,926Matches
59%Win rate
0.82Avg K/D
66.4ADR
35%Headshot %

Clutches & streaks

36%1v1 clutch win
17%1v2 clutch win
14Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage24852%0.7911.7
Dust221853%0.9013.2
Inferno21462%0.8712.4
Nuke19063%0.9513.6
Ancient15848%0.7911.8
Overpass13966%0.8812.3
Anubis8260%0.8412.3
Train5650%0.8412.6

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.

13.9%Headshot accuracy
36.2%Accuracy (enemy spotted)
41.7%Spray accuracy
75.0%Counter-strafing
12.2°Preaim
516msReaction time
55.6%T opening success
36.3%CT opening success
0.59Enemies flashed / flash
2.8%Flash assists
14.80HE damage / grenade
7.29Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2375° — above the 12° mark we flag

    Aim Training →
  2. 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 13.9177% — below the 15% mark we flag

    Aim Training →
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.

36% win rate across 14 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
nuke13–10-0.056%4 Oct →
nuke13–11-0.0017%4 Oct →
anubis13–80.0511%2 Oct →
mirage16–13-0.0414%2 Oct →
inferno15–190.0124%29 Sept →
mirage13–11-0.0120%29 Sept →
inferno13–110.0118%28 Sept →
cache16–120.0012%27 Sept →
inferno10–13-0.0316%27 Sept →
dust28–13-0.0710%27 Sept →
mirage8–13-0.0017%16 Sept →
nuke8–130.0121%16 Sept →
ancient10–13-0.006%16 Sept →
ancient7–13-0.0215%12 Sept →
inferno2–13-0.0336%12 Sept →
ancient19–160.0210%11 Sept →
cache6–13-0.087%11 Sept →
nuke13–110.0213%11 Sept →
cache13–7-0.0222%7 Sept →
nuke3–13-0.0222%7 Sept →
nuke13–20.019%7 Sept →
ancient8–13-0.109%7 Sept →
ancient13–110.019%6 Sept →
vertigo10–13-0.0316%6 Sept →
nuke13–7-0.029%30 Aug →
inferno13–90.039%30 Aug →
inferno13–100.0015%27 Aug →
ancient20–220.018%27 Aug →
inferno15–19-0.0714%26 Aug →
vertigo11–13-0.0413%25 Aug →
inferno13–70.0924%25 Aug →
dust28–13-0.0231%25 Aug →
ancient13–16-0.0224%25 Aug →
ancient13–8-0.0516%13 Jul →
inferno14–16-0.0114%13 Jul →
inferno9–13-0.037%11 Jul →
anubis13–80.0112%11 Jul →
ancient8–13-0.038%11 Jul →
anubis13–11-0.079%11 Jul →
inferno13–70.048%11 Jul →
dust210–13-0.0617%10 Jul →
nuke13–40.0433%10 Jul →
dust28–13-0.0614%8 Jul →
inferno13–30.1519%8 Jul →
inferno13–7-0.0122%8 Jul →
dust213–9-0.0212%8 Jul →
cache5–13-0.0821%7 Jul →
nuke13–80.0215%7 Jul →
cache13–10.0826%7 Jul →
nuke11–13-0.0212%2 Jul →
dust29–130.0118%2 Jul →
inferno13–5-0.0614%2 Jul →
cache13–80.0214%2 Jul →
ancient13–11-0.0416%1 Jul →
inferno11–13-0.0323%1 Jul →
inferno13–7-0.096%29 Jun →
dust214–16-0.046%29 Jun →
overpass7–13-0.0214%29 Jun →
nuke16–13-0.0612%29 Jun →
ancient13–8-0.088%23 Jun →
nuke11–13-0.0613%22 Jun →
nuke13–2-0.0310%22 Jun →
overpass8–13-0.1124%22 Jun →
mirage13–11-0.0514%17 Jun →
nuke13–60.0038%15 Jun →
dust29–13-0.0511%15 Jun →
inferno13–11-0.0113%13 Jun →
dust213–5-0.0314%12 Jun →
inferno9–13-0.0117%12 Jun →
inferno13–90.0112%12 Jun →
dust26–13-0.0718%12 Jun →
cache13–9-0.0511%8 Jun →
cache13–0-0.049%7 Jun →
anubis3–13-0.0614%6 Jun →
dust213–11-0.0123%5 Jun →
ancient13–3-0.033%3 Jun →
ancient10–13-0.046%1 Jun →
dust29–13-0.0011%31 May →
mirage13–40.0317%31 May →
mirage19–16-0.0521%30 May →
dust213–90.0523%28 May →
nuke13–5-0.0025%27 May →
overpass8–13-0.0215%26 May →
inferno13–3-0.0511%26 May →
nuke19–16-0.0115%25 May →
cache11–13-0.0411%25 May →
nuke4–13-0.0315%24 May →
dust213–10-0.0322%24 May →
ancient9–13-0.0210%15 May →
cache11–13-0.0014%15 May →
overpass16–14-0.069%9 May →
nuke11–130.0214%8 May →
mirage6–13-0.0225%8 May →
cache3–130.0132%7 May →
inferno13–70.0231%29 Apr →
mirage10–13-0.0320%25 Apr →
inferno10–130.0217%25 Apr →
overpass13–11-0.0722%25 Apr →
nuke13–70.0418%24 Apr →
inferno8–130.0214%24 Apr →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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