Challenger

Challenger — CS2 Stats

US76561198069269920[U:1:109004192]Steam profile ↗✓ No bans

1,286Tracked matches48%Win rate2022Tracked since
2,116Hours in CS0Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,412 → 1,412
+5Tracked matches · now 1,286
+7.4ppWin rate · 40.7% → 48.1%

Rating over time

Premier CS Rating: 20,107 -423 23 Feb – 5 Jul · 28 days played
20,10723,764peak 23,76423 Feb5 Jul
23,764Peak Premier in tracked matches
1,412Highest Faceit ELO seen on CSDB
53Days played since 2026-02-15

Faceit ELO

  • At peak — 1,412
  • Next: Level 8 at 1,531 — 119 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-03
  • Level 6 first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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.GGChallengerPEAK ELO1,412csdb.gg/stats

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Performance scores

Aim65
Positioning62
Utility46

0–100 skill scores via Leetify.

Recent form

HOT51–46–3Last 10051%Win rateWWWWLWWWLW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating · −10.2pp headshot accuracy · −27ms reaction

Win rate up 50pp 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 18%
  • Avg reaction 650ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 630ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 643ms

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 (+1.3 against its own average).

Aim6.5
Utility4.6
Positioning6.2
Opening Duels3.6
Clutch5.4

Limited 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

donk

Plays most like donk 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

Reaction time. 641ms 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

Aim6.5
Positioning6.2
Utility4.6
Mechanics7.5
Opening Duels2.8
Win Impact4.4

Composite 5.2/10 (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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time649ms−1ms
first ⅓ avg 649ms → last ⅓ avg 649ms
Headshot accuracy21.1%+0.3%
first ⅓ avg 20.8% → last ⅓ avg 21.1%

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 · ancient, 12 May →
50%Best headshot accuracy · 2–0 · inferno, 4 Jul →
469msFastest reaction time · 13–8 · inferno, 12 May →
13–2Biggest win · anubis, 27 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
6–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 69% over 16nukeWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
ancientB2110–1148%0.02
anubisS1611–569%-0.01
nukeD144–1029%0.02
infernoS128–467%0.04
overpassC125–742%0.01
mirageB115–645%0.00
dust2A74–357%0.03
cacheB63–350%0.05
vertigo—11–0100%0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,651Lifetime kills
1.13K/D · Top 25% of tracked players
1,647Matches
50.7%Match win rate · Top 25% of tracked players
47.0%Headshot % · Top 50% of tracked players
11.3%Shot accuracy
3,669MVPs
1,539Hours (in match)
2,333Bombs planted
704Bombs defused

Most-used weapons

Lifetime map wins

2,992inferno
2,316dust2
1,381nuke
766vertigo
511train
55cbble
29dust
28office

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

Faceit stats

Combat

393Matches
51%Win rate
1.32Avg K/D
75.7ADR
45%Headshot %

Clutches & streaks

47%1v1 clutch win
23%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3954%1.1715.9
Ancient3142%1.3517.6
Anubis2544%1.2715.0
Dust22250%1.0316.8
Inferno1369%1.3315.5
Nuke1040%1.1515.1
Overpass560%1.4415.6
Train20%1.2619.5

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.

19.8%Headshot accuracy
34.2%Accuracy (enemy spotted)
37.8%Spray accuracy
83.9%Counter-strafing
11.6°Preaim
641msReaction time
35.1%T opening success
47.3%CT opening success
0.49Enemies flashed / flash
9.5%Flash assists
9.88HE damage / grenade
4.96Flashes / 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

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

    Enemies flashed per flash 0.486 — below the 0.5 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 35.0935% — below the 40% mark we flag

Spend your practice time on Nuke

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–11-0.0415%5 Sept →
cache13–70.0224%5 Sept →
ancient13–100.0215%22 Aug →
dust213–70.0116%22 Aug →
dust28–130.0518%20 Aug →
dust213–90.0525%16 Aug →
anubis13–90.0417%16 Aug →
ancient13–60.1010%2 Aug →
nuke7–130.0015%2 Aug →
anubis16–130.0713%20 Jul →
dust28–130.0329%8 Jul →
ancient11–130.0417%5 Jul →
nuke4–130.0328%5 Jul →
nuke6–13-0.0115%5 Jul →
ancient2–13-0.1044%4 Jul →
inferno2–00.1050%4 Jul →
mirage12–12-0.0516%27 Jun →
vertigo13–100.0625%27 Jun →
anubis13–60.0225%27 Jun →
mirage7–13-0.0620%27 Jun →
overpass13–110.0417%23 Jun →
mirage9–13-0.0222%22 Jun →
overpass15–150.0022%22 Jun →
anubis7–13-0.0020%21 Jun →
inferno7–13-0.0222%15 Jun →
mirage7–130.0117%14 Jun →
inferno15–150.0324%13 Jun →
anubis8–13-0.0319%13 Jun →
overpass7–13-0.0222%13 Jun →
ancient13–100.0612%13 Jun →
cache7–130.0819%15 May →
cache10–130.0924%15 May →
ancient13–8-0.0218%15 May →
overpass13–50.1011%14 May →
cache13–9-0.0121%14 May →
nuke9–13-0.0511%13 May →
ancient8–130.0123%13 May →
inferno13–80.0122%12 May →
ancient13–90.1412%12 May →
nuke10–130.0016%10 May →
nuke9–13-0.0214%7 May →
ancient6–130.0010%7 May →
anubis13–11-0.0321%4 May →
ancient5–130.0019%4 May →
ancient8–13-0.0220%4 May →
mirage13–30.0117%4 May →
nuke13–9-0.0121%30 Apr →
cache9–130.0225%29 Apr →
cache13–40.1113%29 Apr →
anubis13–2-0.0225%27 Apr →
nuke6–130.0621%27 Apr →
dust24–13-0.0714%27 Apr →
overpass10–130.0420%22 Apr →
ancient13–60.0217%22 Apr →
anubis13–7-0.0019%22 Apr →
dust213–60.0326%10 Apr →
mirage13–100.0121%10 Apr →
ancient16–13-0.0221%9 Apr →
inferno9–13-0.0718%7 Apr →
anubis13–6-0.0829%6 Apr →
inferno13–5-0.0119%5 Apr →
inferno13–30.1215%5 Apr →
overpass13–10-0.0223%3 Apr →
nuke3–50.109%3 Apr →
ancient5–13-0.0410%3 Apr →
anubis13–10-0.0617%2 Apr →
overpass14–16-0.0415%30 Mar →
ancient13–2-0.0315%29 Mar →
overpass11–13-0.0017%29 Mar →
ancient11–130.0519%29 Mar →
mirage8–130.0211%28 Mar →
mirage13–7-0.0120%28 Mar →
inferno13–60.0726%23 Mar →
anubis13–40.0422%23 Mar →
inferno10–130.0831%23 Mar →
nuke16–140.0214%23 Mar →
nuke13–60.0727%23 Mar →
mirage13–70.0813%22 Mar →
ancient11–130.1018%22 Mar →
ancient5–13-0.0710%21 Mar →
anubis10–13-0.0117%21 Mar →
ancient13–80.1114%21 Mar →
overpass13–6-0.0310%18 Mar →
inferno13–30.0924%13 Mar →
overpass13–10-0.0619%12 Mar →
nuke16–130.0517%10 Mar →
ancient5–13-0.0027%9 Mar →
nuke3–13-0.0238%8 Mar →
anubis11–130.0427%7 Mar →
overpass7–130.0119%1 Mar →
ancient13–5-0.0124%1 Mar →
anubis16–14-0.0519%1 Mar →
inferno13–100.0514%27 Feb →
dust213–50.1221%27 Feb →
mirage6–13-0.0521%27 Feb →
overpass13–160.0532%26 Feb →
anubis6–13-0.0118%26 Feb →
mirage13–20.0624%24 Feb →
nuke9–130.0335%23 Feb →
inferno13–100.0525%15 Feb →

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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