Colinnn

Colinnn — CS2 Stats

IE76561198095691447[U:1:135425719]Steam profile ↗✓ No bans

632Tracked matches59%Win rate2020Tracked since
3,703Hours in CS30Hrs last 2 wks
CSDB Rating7.7 StrongOpening Duellist
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (33 days ago). Ranks are recorded once per day this page is viewed.

+42Tracked matches · now 632
−16.6ppWin rate · 75.9% → 59.3%

Rating over time

Premier CS Rating: 19,893 +2,275 25 May – 12 Jul · 18 days played
17,47319,893peak 19,89325 May12 Jul
19,999Peak Premier in tracked matches
41Days played since 2024-05-25

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
Matches55——
Win rate44%——
K/D1.81——
Headshot %43%——

Measured 18 Sep 2026 → 21 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 10 among CSDB-tracked players (n=30,061), 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 10 median
Headshot rate41.0%50.9%
Shot accuracy21.2%13.7%
Kill/death ratio1.171.09
Match win rate42.8%48.4%

Share this profile

CSDB.GGColinnnFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.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

Aim93
Positioning66
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY60–35–5Last 10060%Win rateWWWLLWWLTW

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +2.9pp headshot accuracy · −35ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.13
  • Avg headshot accuracy 18%
  • Avg reaction 533ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.11
  • Avg headshot accuracy 18%
  • Avg reaction 540ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 16%
  • Avg reaction 558ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+1.2 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim9.3
Utility6.2
Positioning6.6
Opening Duels7.1
Clutch3.6

Sharp aimer

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

device

Plays most like device 92% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 557ms 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

Aim9.3
Positioning6.6
Utility6.2
Mechanics7.5
Opening Duels7.6
Win Impact8.1

Composite 7.7/10 (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 rating0.09+0.07
first ⅓ avg 0.02 → last ⅓ avg 0.09
Reaction time565ms−52ms
first ⅓ avg 618ms → last ⅓ avg 565ms
Headshot accuracy16.6%−2.3%
first ⅓ avg 18.8% → last ⅓ avg 16.6%

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

0.29Best match rating · 3–5 · ancient, 30 May →
36%Best headshot accuracy · 13–7 · nuke, 28 May →
406msFastest reaction time · 6–13 · dust2, 3 Jul →
13–0Biggest win · dust2, 6 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
9–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 69% over 16infernoWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
mirageS1611–569%0.04
dust2B147–750%0.02
nukeS139–469%0.08
ancientB137–654%0.07
infernoC125–742%0.03
anubisA117–464%0.02
vertigoA74–357%0.05
cacheS64–267%0.11
overpass—43–175%0.03
thera—21–150%0.05
train—11–0100%0.05
mills—11–0100%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

120,180Lifetime kills
1.17K/D · Top 50% of Level 10 players
5,280Matches
42.8%Match win rate
41.0%Headshot %
21.2%Shot accuracy · Top 5% of Level 10 players
11,234MVPs
2,163Hours (in match)
3,324Bombs planted
1,277Bombs defused

Most-used weapons

AK-4738,865
AWP13,543
P2502,804
FAMAS2,612
P902,032

Lifetime map wins

7,230dust2
5,781inferno
3,210nuke
1,499cbble
1,207train
868vertigo
107assault
107ar_shoots

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

Faceit stats

Combat

362Matches
58%Win rate
1.27Avg K/D
88.0ADR
40%Headshot %

Clutches & streaks

38%1v1 clutch win
15%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2357%1.0817.1
Anubis1963%1.3417.9
Inferno1844%1.2617.7
Nuke1377%1.4219.3
Dust21173%1.2620.3
Vertigo1040%1.1916.7
Ancient862%1.0518.3
Overpass1100%2.0022.0

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.

17.3%Headshot accuracy
48.9%Accuracy (enemy spotted)
53.0%Spray accuracy
83.8%Counter-strafing
10.4°Preaim
557msReaction time
66.1%T opening success
54.9%CT opening success
0.57Enemies flashed / flash
8.6%Flash assists
10.07HE damage / grenade
7.56Flashes / 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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–110.0913%19 Oct →
mirage13–40.2316%19 Oct →
nuke13–110.1121%19 Oct →
vertigo10–130.1518%19 Oct →
cache6–130.0620%19 Oct →
anubis13–110.0221%19 Oct →
vertigo13–100.1016%18 Oct →
ancient3–13-0.0010%18 Oct →
nuke12–120.1417%18 Oct →
nuke13–80.2323%18 Oct →
cache13–90.2122%18 Oct →
dust26–13-0.0724%18 Oct →
inferno13–100.1122%17 Oct →
mirage5–130.0213%15 Oct →
dust213–50.0913%15 Oct →
cache13–20.006%15 Oct →
mirage13–50.2117%14 Oct →
ancient13–40.2119%14 Oct →
anubis12–120.0811%14 Oct →
inferno2–7-0.090%13 Oct →
nuke13–30.1116%13 Oct →
dust23–130.0320%13 Oct →
mirage4–130.1410%13 Oct →
anubis10–130.0221%13 Oct →
cache13–100.0425%12 Oct →
inferno13–50.0312%12 Oct →
nuke12–120.0912%12 Oct →
anubis13–60.0624%12 Oct →
ancient3–130.0718%11 Oct →
inferno9–130.1623%11 Oct →
mirage4–130.0712%11 Oct →
dust28–130.0318%11 Oct →
cache11–130.2216%11 Oct →
nuke13–100.0514%11 Oct →
mirage13–60.1419%11 Oct →
ancient13–110.0627%11 Oct →
dust23–110.0719%8 Oct →
ancient13–30.0918%8 Oct →
mirage13–50.0928%8 Oct →
cache13–50.1221%8 Oct →
inferno12–120.0124%7 Oct →
dust25–130.0115%7 Oct →
train7–00.0517%21 Jan →
overpass13–70.0313%21 Jan →
mirage13–90.039%21 Jan →
dust213–00.0615%6 Jan →
ancient12–16-0.0116%28 Aug →
mirage13–1-0.0122%25 Aug →
overpass13–70.0817%25 Aug →
nuke13–80.0332%25 Aug →
overpass9–13-0.0616%25 Aug →
nuke13–30.1616%25 Aug →
mirage11–13-0.0624%24 Aug →
ancient13–80.0318%24 Aug →
inferno13–100.0321%20 Jul →
inferno7–12-0.108%12 Jul →
mirage5–1-0.050%12 Jul →
mirage13–20.0225%12 Jul →
dust213–11-0.0917%8 Jul →
vertigo13–50.0816%5 Jul →
anubis7–130.0511%5 Jul →
anubis13–8-0.008%3 Jul →
dust213–50.0417%3 Jul →
vertigo15–15-0.0013%3 Jul →
dust26–13-0.0913%3 Jul →
nuke13–30.129%2 Jul →
anubis13–90.0718%29 Jun →
anubis13–10-0.0217%27 Jun →
thera13–70.0621%26 Jun →
mills13–40.0624%26 Jun →
thera8–130.0515%26 Jun →
mirage13–9-0.0121%25 Jun →
nuke11–13-0.0219%18 Jun →
inferno9–130.0519%14 Jun →
dust213–1-0.0212%14 Jun →
ancient13–5-0.0316%14 Jun →
nuke13–7-0.0414%14 Jun →
inferno8–130.0120%13 Jun →
overpass13–110.0727%11 Jun →
ancient13–110.1520%11 Jun →
anubis6–13-0.130%7 Jun →
inferno14–160.0214%6 Jun →
nuke9–130.0121%5 Jun →
anubis13–90.0011%5 Jun →
vertigo10–130.0221%4 Jun →
inferno13–80.1527%4 Jun →
dust213–110.0118%4 Jun →
mirage13–10-0.0729%3 Jun →
ancient9–13-0.0122%2 Jun →
ancient3–50.2918%30 May →
mirage3–13-0.1430%29 May →
inferno13–4-0.0216%29 May →
anubis13–40.0211%29 May →
nuke13–70.0736%28 May →
ancient13–4-0.035%28 May →
vertigo13–11-0.0120%27 May →
dust211–130.0125%26 May →
vertigo13–70.0320%26 May →
ancient10–130.0511%25 May →
dust213–10.1720%25 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.